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Postdoc of Deep Learning for Large-Scale GeoScience and sustainability Applications

Climate change, population growth, and environmental degradation as well as management of our agricultural, natural, and urban resources are major challenges influencing the achievement of multiple of the UN’s Sustainable Development Goals. Currently an accelerating amount of geospatial data of immediate relevance are collected by satellites, airplanes, and drones. Such data provides hitherto unseen possibilities for capturing patterns and for generating new understanding of eco- and human systems at the process, regional and global scales. Deep learning methods have been identified as one of the key drivers in this context, and this project is about applying state-of-the-art and developing conceptually new deep learning techniques that are adapted to the specific needs of various challenging learning tasks in the earth and geodata domain.

Taking full advantage of the opportunities derived from these new and overwhelming data sources requires a variety of skills. We are searching for a motivated postdoctoral researcher in machine learning or geosciences, with a dedicated interest in addressing some of these challenges. The position will be opened in the context of a new collaboration between the Department of Computer Science (DIKU) and the Department for Geosciences and Natural Resource Management (IGN) of the University of Copenhagen and will also be connected to the SCIENCE AI Centre. The aim is to initiate new groundbreaking research by applying and extending deep learning methods to extract and to explore relevant information from massive amounts of data.

The successful candidate will have the chance to work on a variety of exciting and challenging tasks within the earth and geodata domain, including:

  • Monitoring changes in climate, land use, and vegetation
  • Detecting faults and fractures in geophysical wavefield data
  • Analysing plant phenotyping and ecosystem structure
  • Detecting of landforms such as beach ridge or coastlines
  • Analysing human movements based on geospatial data
To address these tasks, the candidate will have to deal with very large and very complex data sets including petabytes of satellite or lidar data, which will necessitate the application and extension of complex deep learning models. We seek for an innovative postdoctoral research for a 2 year position, who has obtained a Ph.D. degree from a computer science department (or similar) or a geo-science department with significant experience in machine learning and data analysis of very large data sets. The candidate is expected to contribute to research activities within machine learning for geodata and earth system science as sketched above. The position will be a true collaborative position between the Department for Geosciences and Natural Resource Management or with the Department of Computer Science of the University of Copenhagen, but the exact balance and place of wok will be negotiated with the candidate and depend on the candidates background.

Inquiries about the position can be made to Prof. Claus Beier (cbe@ign.ku.dk), Associate Prof. Thomas Friborg (tfj@ign.ku.dk), or Assistant Professor Fabian Gieseke (fabian.gieseke@di.ku.dk). Further information related to the Departments at the Faculty of Science can be found here: http://www.science.ku.dk/english/about-the-faculty/organisation/

The position is open from 1st October or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.The starting salary is currently up to DKK 430.569 including annual supplement (+ pension up to DKK 73.627). Negotiation for salary supplement is possible.
The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include:

  • Curriculum vita
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers
The deadline for applications is 12st August 2019, 23:59 GMT+1

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process




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330056333Phoenix-2c190fed12019-07-08T00:00:00Postdoc of Deep Learning for Large-Scale GeoScience and sustainability ApplicationsClimate change, population growth, and environmental degradation as well as management of our agricultural, natural, and urban resources are major challenges influencing the achievement of multiple of the UN’s Sustainable Development Goals. Currently an accelerating amount of geospatial data of immediate relevance are collected by satellites, airplanes, and drones. Such data provides hitherto unseen possibilities for capturing patterns and for generating new understanding of eco- and human systems at the process, regional and global scales. Deep learning methods have been identified as one of the key drivers in this context, and this project is about applying state-of-the-art and developing conceptually new deep learning techniques that are adapted to the specific needs of various challenging learning tasks in the earth and geodata domain.

Taking full advantage of the opportunities derived from these new and overwhelming data sources requires a variety of skills. We are searching for a motivated postdoctoral researcher in machine learning or geosciences, with a dedicated interest in addressing some of these challenges. The position will be opened in the context of a new collaboration between the Department of Computer Science (DIKU) and the Department for Geosciences and Natural Resource Management (IGN) of the University of Copenhagen and will also be connected to the SCIENCE AI Centre. The aim is to initiate new groundbreaking research by applying and extending deep learning methods to extract and to explore relevant information from massive amounts of data.

The successful candidate will have the chance to work on a variety of exciting and challenging tasks within the earth and geodata domain, including:

  • Monitoring changes in climate, land use, and vegetation
  • Detecting faults and fractures in geophysical wavefield data
  • Analysing plant phenotyping and ecosystem structure
  • Detecting of landforms such as beach ridge or coastlines
  • Analysing human movements based on geospatial data
To address these tasks, the candidate will have to deal with very large and very complex data sets including petabytes of satellite or lidar data, which will necessitate the application and extension of complex deep learning models. We seek for an innovative postdoctoral research for a 2 year position, who has obtained a Ph.D. degree from a computer science department (or similar) or a geo-science department with significant experience in machine learning and data analysis of very large data sets. The candidate is expected to contribute to research activities within machine learning for geodata and earth system science as sketched above. The position will be a true collaborative position between the Department for Geosciences and Natural Resource Management or with the Department of Computer Science of the University of Copenhagen, but the exact balance and place of wok will be negotiated with the candidate and depend on the candidates background.

Inquiries about the position can be made to Prof. Claus Beier (cbe@ign.ku.dk), Associate Prof. Thomas Friborg (tfj@ign.ku.dk), or Assistant Professor Fabian Gieseke (fabian.gieseke@di.ku.dk). Further information related to the Departments at the Faculty of Science can be found here: http://www.science.ku.dk/english/about-the-faculty/organisation/

The position is open from 1st October or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.The starting salary is currently up to DKK 430.569 including annual supplement (+ pension up to DKK 73.627). Negotiation for salary supplement is possible.
The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include:

  • Curriculum vita
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers
The deadline for applications is 12st August 2019, 23:59 GMT+1

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process



2019-07-22T23:50:36.827 Climate change, population growth, and environmental degradation as well as management of our agricultural, natural, and urban resources are major challenges influencing the achievement of multiple of the UN s Sustainable Development Goals. Currently an accelerating amount of geospatial data of immediate relevance are collected by satellites, airplanes, and drones. Such data provides hitherto unseen possibilities for capturing patterns and for generating new understanding of eco- and human systems at the process, regional and global scales. Deep learning methods have been identified as one of the key drivers in this context, and this project is about applying state-of-the-art and developing conceptually new deep learning techniques that are adapted to the specific needs of various challenging learning tasks in the earth and geodata domain. Taking full advantage of the opportunities derived from these new and overwhelming data sources requires a variety of skills. We are searching for a motivated postdoctoral researcher in machine learning or geosciences, with a dedicated interest in addressing some of these challenges. The position will be opened in the context of a new collaboration between the Department of Computer Science (DIKU) and the Department for Geosciences and Natural Resource Management (IGN) of the University of Copenhagen and will also be connected to the SCIENCE AI Centre. The aim is to initiate new groundbreaking research by applying and extending deep learning methods to extract and to explore relevant information from massive amounts of data. The successful candidate will have the chance to work on a variety of exciting and challenging tasks within the earth and geodata domain, including: Monitoring changes in climate, land use, and vegetation Detecting faults and fractures in geophysical wavefield data Analysing plant phenotyping and ecosystem structure Detecting of landforms such as beach ridge or coastlines Analysing human movements based on geospatial data To address these tasks, the candidate will have to deal with very large and very complex data sets including petabytes of satellite or lidar data, which will necessitate the application and extension of complex deep learning models. We seek for an innovative postdoctoral research for a 2 year position, who has obtained a Ph.D. degree from a computer science department (or similar) or a geo-science department with significant experience in machine learning and data analysis of very large data sets. The candidate is expected to contribute to research activities within machine learning for geodata and earth system science as sketched above. The position will be a true collaborative position between the Department for Geosciences and Natural Resource Management or with the Department of Computer Science of the University of Copenhagen, but the exact balance and place of wok will be negotiated with the candidate and depend on the candidates background. Inquiries about the position can be made to Prof. Claus Beier (cbe@ign.ku.dk), Associate Prof. Thomas Friborg (tfj@ign.ku.dk), or Assistant Professor Fabian Gieseke (fabian.gieseke@di.ku.dk). Further information related to the Departments at the Faculty of Science can be found here: http: www.science.ku.dk english about-the-faculty organisation The position is open from 1st October or as soon as possible thereafter. The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Terms of employment The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.The starting salary is currently up to DKK 430.569 including annual supplement ( pension up to DKK 73.627). Negotiation for salary supplement is possible. The application, in English, must be submitted electronically by clicking APPLY NOW below. Please include: Curriculum vita Diplomas (Master and PhD degree or equivalent) Research plan description of current and future research plans Complete publication list Separate reprints of 3 particularly relevant papers The deadline for applications is 12st August 2019, 23:59 GMT 1 After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at http: employment.ku.dk faculty recruitment-process11jobnet2c190fed100000000000IDK_OFIR_02DKDanmark228DKK2019-08-12T00:00:000000https://candidate.hr-manager.net/ApplicationInit.aspx?cid=1307&ProjectId=149916&DepartmentId=18970&MediaId=4632&SkipAdvertisement=true0EuropaDanmarkSjælland & øerStorkøbenhavnKøbenhavn3559468KU - SCIENCE - NBI11Nørre Campus, Blegdamsvej 172100København ØDKDanmark0
DKDanmarkDKDanmark
8Fuldtid47Tidsbegrænset790641JobNet5016045501604510008-07-20190https://dispatcher.ofir.dk/statistic/register?context=FeedEntrySearchedCount&feedId=dc2beb84&entryId=2c190fedhttps://dispatcher.ofir.dk/statistic/register?context=FeedEntryDisplayCount&feedId=dc2beb84&entryId=2c190fedhttps://dispatcher.ofir.dk/statistic/register?context=JobApplicationInitiatedCount&feedId=dc2beb84&entryId=2c190fed&page=ShowJob&component=SendApplicationButtonhttps://dispatcher.ofir.dk/statistic/register?context=JobApplicationAppliedCount&feedId=dc2beb84&entryId=2c190fed&page=EmailApplyForm&component=SendApplicationButtonhttps://static.matchwork.com/company/logo/DK/ORS/SoMe/Salg_marketing_og_kommunikation/Marketing/4.jpgSom Researcher hos KU - SCIENCE - NBI bliver du en del af et godt arbejdsmiljø og bliver dagligt mødt af nye spændende udfordringer.12007991Dansk3Læse/ tale341922Researcher4Marketing362182739noreply@ofir.comDKDanmarkDKDanmark330062834Postdoc of Deep Learning for Large-Scale GeoScience and sustainability ApplicationsRobot Climate change, population growth, and environmental degradation as well as management of our agricultural, natural, and urban resources are major challenges influencing the achievement of multiple of the UN s Sustainable Development Goals. Currently an accelerating amount of geospatial data of immediate relevance are collected by satellites, airplanes, and drones. Such data provides hitherto unseen possibilities for capturing patterns and for generating new understanding of eco- and human systems at the process, regional and global scales. Deep learning methods have been identified as one of the key drivers in this context, and this project is about applying state-of-the-art and developing conceptually new deep learning techniques that are adapted to the specific needs of various challenging learning tasks in the earth and geodata domain. Taking full advantage of the opportunities derived from these new and overwhelming data sources requires a variety of skills. We are searching for a motivated postdoctoral researcher in machine learning or geosciences, with a dedicated interest in addressing some of these challenges. The position will be opened in the context of a new collaboration between the Department of Computer Science (DIKU) and the Department for Geosciences and Natural Resource Management (IGN) of the University of Copenhagen and will also be connected to the SCIENCE AI Centre. The aim is to initiate new groundbreaking research by applying and extending deep learning methods to extract and to explore relevant information from massive amounts of data. The successful candidate will have the chance to work on a variety of exciting and challenging tasks within the earth and geodata domain, including: Monitoring changes in climate, land use, and vegetation Detecting faults and fractures in geophysical wavefield data Analysing plant phenotyping and ecosystem structure Detecting of landforms such as beach ridge or coastlines Analysing human movements based on geospatial data To address these tasks, the candidate will have to deal with very large and very complex data sets including petabytes of satellite or lidar data, which will necessitate the application and extension of complex deep learning models. We seek for an innovative postdoctoral research for a 2 year position, who has obtained a Ph.D. degree from a computer science department (or similar) or a geo-science department with significant experience in machine learning and data analysis of very large data sets. The candidate is expected to contribute to research activities within machine learning for geodata and earth system science as sketched above. The position will be a true collaborative position between the Department for Geosciences and Natural Resource Management or with the Department of Computer Science of the University of Copenhagen, but the exact balance and place of wok will be negotiated with the candidate and depend on the candidates background. Inquiries about the position can be made to Prof. Claus Beier (cbe@ign.ku.dk), Associate Prof. Thomas Friborg (tfj@ign.ku.dk), or Assistant Professor Fabian Gieseke (fabian.gieseke@di.ku.dk). Further information related to the Departments at the Faculty of Science can be found here: http: www.science.ku.dk english about-the-faculty organisation The position is open from 1st October or as soon as possible thereafter. The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Terms of employment The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.The starting salary is currently up to DKK 430.569 including annual supplement ( pension up to DKK 73.627). Negotiation for salary supplement is possible. The application, in English, must be submitted electronically by clicking APPLY NOW below. Please include: Curriculum vita Diplomas (Master and PhD degree or equivalent) Research plan description of current and future research plans Complete publication list Separate reprints of 3 particularly relevant papers The deadline for applications is 1 September , 23:59 GMT 1 After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at http: employment.ku.dk faculty recruitment-processClimate change, population growth, and environmental degradation as well as management of our agricultural, natural, and urban resources are major challenges influencing the achievement of multiple of the UN’s Sustainable Development Goals. Currently an accelerating amount of geospatial data of immediate relevance are collected by satellites, airplanes, and drones. Such data provides hitherto unseen possibilities for capturing patterns and for generating new understanding of eco- and human systems at the process, regional and global scales. Deep learning methods have been identified as one of the key drivers in this context, and this project is about applying state-of-the-art and developing conceptually new deep learning techniques that are adapted to the specific needs of various challenging learning tasks in the earth and geodata domain.

Taking full advantage of the opportunities derived from these new and overwhelming data sources requires a variety of skills. We are searching for a motivated postdoctoral researcher in machine learning or geosciences, with a dedicated interest in addressing some of these challenges. The position will be opened in the context of a new collaboration between the Department of Computer Science (DIKU) and the Department for Geosciences and Natural Resource Management (IGN) of the University of Copenhagen and will also be connected to the SCIENCE AI Centre. The aim is to initiate new groundbreaking research by applying and extending deep learning methods to extract and to explore relevant information from massive amounts of data.

The successful candidate will have the chance to work on a variety of exciting and challenging tasks within the earth and geodata domain, including:

  • Monitoring changes in climate, land use, and vegetation
  • Detecting faults and fractures in geophysical wavefield data
  • Analysing plant phenotyping and ecosystem structure
  • Detecting of landforms such as beach ridge or coastlines
  • Analysing human movements based on geospatial data
To address these tasks, the candidate will have to deal with very large and very complex data sets including petabytes of satellite or lidar data, which will necessitate the application and extension of complex deep learning models. We seek for an innovative postdoctoral research for a 2 year position, who has obtained a Ph.D. degree from a computer science department (or similar) or a geo-science department with significant experience in machine learning and data analysis of very large data sets. The candidate is expected to contribute to research activities within machine learning for geodata and earth system science as sketched above. The position will be a true collaborative position between the Department for Geosciences and Natural Resource Management or with the Department of Computer Science of the University of Copenhagen, but the exact balance and place of wok will be negotiated with the candidate and depend on the candidates background.

Inquiries about the position can be made to Prof. Claus Beier (cbe@ign.ku.dk), Associate Prof. Thomas Friborg (tfj@ign.ku.dk), or Assistant Professor Fabian Gieseke (fabian.gieseke@di.ku.dk). Further information related to the Departments at the Faculty of Science can be found here: http://www.science.ku.dk/english/about-the-faculty/organisation/

The position is open from 1st October or as soon as possible thereafter.
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Terms of employment
The position is covered by the Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State.The starting salary is currently up to DKK 430.569 including annual supplement (+ pension up to DKK 73.627). Negotiation for salary supplement is possible.
The application, in English, must be submitted electronically by clicking APPLY NOW below.

Please include:

  • Curriculum vita
  • Diplomas (Master and PhD degree or equivalent)
  • Research plan – description of current and future research plans
  • Complete publication list
  • Separate reprints of 3 particularly relevant papers
The deadline for applications is 1 September , 23:59 GMT+1

After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process



KU - SCIENCE - NBIKøbenhavn Ø2019-07-22T00:00:002019-09-01T00:00:00
330061208Senior researcher in epidemiology and statisticsRobot A position as senior researcher is vacant in the department of Health and Social Context at the National Institute of Public Health (NIPH) in Copenhagen, from October 1, 2019 or as soon as possible thereafter. The position is vacant for a period of 2 years. The department is organized in four research groups dealing with different aspects of social relationships and the importance of social factors for health. The main themes of our work are:• Development of health and wellbeing of children and adolescents• Health promotion measures directed at children, adolescents, the unemployed and patients• Mental health promotion aimed at the entire population and at people with mental health problems• Social inequality in health with particular focus on marginalized and vulnerable groups• Organizational, relational and structural factors of health Our research is application-oriented and interdisciplinary. We have an academic background in public health science, anthropology, sociology, medicine and philosophy. We combine theory with data collection and often design our studies so that they consist of combinations of context research, questionnaire and register research as well as of intervention research. We are looking for a senior researcher with epidemiological and statistical skills primarily to solve research tasks in collaboration with the department s other employees. The research tasks include primarily quantitative epidemiological analyses and reporting in connection with research projects related to health issues and to the health of children and adults. The senior researcher will be expected to work as a project manager, and it will therefore be of a great importance that applicants have experience with project management, as well as experience with research in health among children and young people and a professional network within this area. The majority of the research projects will be carried out in collaboration with other research environments, and it will therefore be an advantage if potential applicants have experience with coordination of research activities. In addition, the potential applicant will be expected to teach in public health-related areas such as biostatistics. The place of work will be at NIPH, Studiestræde 6, 1455 Copenhagen K.In addition, there will be opportunity to contribute more generally to the department s public sector services. Qualifications: Potential applicants will be expected to have: • A relevant degree in health or social sciences (for instance in public health science, statistics, economics, political science or similar) • Experience with research and public administration in the field of public health • Experience with statistical and epidemiological analysis at advanced level (in SAS or Stata). • Experience with statistical and epidemiological analysis of large data sets ( 50,000 individuals) • Knowledge of national disease registers• Experience with application work and repatriation of funds Furthermore, our new senior researcher will be expected to:• Be able to convert research questions to usable statistical models and analyzes• Be collaborative and be able to contribute to different projects in parallel. • Have good writing skills • Have experience with teaching • Have experience with project management and coordination of cross-cutting research activities• Have proven experience with research communication and teaching at university level We can offer you an exciting position in an inspiring research environment with highly motivated colleagues, located in the heart of Copenhagen. Further information can be obtained from research manager Anna Paldam Folker at anpf@si-folkesundhed.dk The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations).Application: Applications including the required attachments must be sent via the below-mentioned link Apply online . Only online applications will be accepted. Attached files must be Adobe PDF or Word format. Each field in the application form can contain up to max. 10 Mb.Only applications written in English will be accepted for evaluation.The application must contain (as pdf.- or docx.-files):- a motivation letter - a detailed CV - degree certificates (inclusive of Ph.D.-diploma) - a complete and numbered list of publications - 5 scientific peer-reviewed publications considered by the applicant to the most important for this position. Please notice that one pdf.- or docx.-file must be attached for each publication. - a teaching portfolio detailing the candidate s prior teaching experience, teaching skills, and teaching philosophy - a research plan detailing the candidate s ideas and plans for her his future research work. Incomplete applications with regard to the above-mentioned requirements will not be assessed.Applications may be shortlisted.Further particulars concerning the application - please see the link below.The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. Further details:Guideline for applicantsA position as senior researcher is vacant in the department of Health and Social Context at the National Institute of Public Health (NIPH) in Copenhagen, from October 1, 2019 or as soon as possible thereafter. The position is vacant for a period of 2 years. 

The department is organized in four research groups dealing with different aspects of social relationships and the importance of social factors for health.

The main themes of our work are:

• Development of health and wellbeing of children and adolescents
• Health promotion measures directed at children, adolescents, the unemployed and patients
• Mental health promotion aimed at the entire population and at people with mental health problems
• Social inequality in health with particular focus on marginalized and vulnerable groups
• Organizational, relational and structural factors of health

Our research is application-oriented and interdisciplinary. We have an academic background in public health science, anthropology, sociology, medicine and philosophy. We combine theory with data collection and often design our studies so that they consist of combinations of context research, questionnaire and register research as well as of intervention research.

We are looking for a senior researcher with epidemiological and statistical skills primarily to solve research tasks in collaboration with the department's other employees. The research tasks include primarily quantitative epidemiological analyses and reporting in connection with research projects related to health issues and to the health of children and adults.

The senior researcher will be expected to work as a project manager, and it will therefore be of a great importance that applicants have experience with project management, as well as experience with research in health among children and young people and a professional network within this area.

The majority of the research projects will be carried out in collaboration with other research environments, and it will therefore be an advantage if potential applicants have experience with coordination of research activities. In addition, the potential applicant will be expected to teach in public health-related areas such as biostatistics.

The place of work will be at NIPH, Studiestræde 6, 1455 Copenhagen K.

In addition, there will be opportunity to contribute more generally to the department's public sector services.

Qualifications:

Potential applicants will be expected to have:

• A relevant degree in health or social sciences (for instance in public health science, statistics, economics, political science or similar)
• Experience with research and public administration in the field of public health
• Experience with statistical and epidemiological analysis at advanced level (in SAS or Stata).
• Experience with statistical and epidemiological analysis of large data sets (> 50,000 individuals)
• Knowledge of national disease registers
• Experience with application work and repatriation of funds

Furthermore, our new senior researcher will be expected to:

• Be able to convert research questions to usable statistical models and analyzes
• Be collaborative and be able to contribute to different projects in parallel.
• Have good writing skills
• Have experience with teaching
• Have experience with project management and coordination of cross-cutting research activities
• Have proven experience with research communication and teaching at university level

We can offer you an exciting position in an inspiring research environment with highly motivated colleagues, located in the heart of Copenhagen.

Further information can be obtained from research manager Anna Paldam Folker at anpf@si-folkesundhed.dk

The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and AC (the Danish Confederation of Professional Associations).

Application: 

Applications – including the required attachments – must be sent via the below-mentioned link “Apply online". Only online applications will be accepted. Attached files must be Adobe PDF or Word format. Each field in the application form can contain up to max. 10 Mb.

Only applications written in English will be accepted for evaluation.

The application must contain (as pdf.- or docx.-files):

- a motivation letter
 
- a detailed CV

- degree certificates (inclusive of Ph.D.-diploma)

- a complete and numbered list of publications

- 5 scientific peer-reviewed publications considered by the applicant to the most important for this position. Please notice that one pdf.- or docx.-file must be attached for each publication.

- a teaching portfolio detailing the candidate’s prior teaching experience, teaching skills, and teaching philosophy

- a research plan detailing the candidate’s ideas and plans for her/his future research work. 


Incomplete applications with regard to the above-mentioned requirements will not be assessed.

Applications may be shortlisted.

Further particulars concerning the application - please see the link below.

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Further details:

Guideline for applicants

 

Syddansk UniversitetKøbenhavn K2019-07-17T00:00:002019-08-25T00:00:00
330071725PhD fellowship in the carbon balance in sub-arctic ecosystems at the Dept. Geosciences & Natural Resource Management, University of CopenhagenRobot A 3-year PhD fellowship in carbon balance in sub-arctic ecosystems is available at the Forest, Nature Biomass section, Dept. Geosciences Natural Resource Management with an expected start 1 November 2019, or shortly thereafter. The fellowship is funded by the European Union s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 813114 Innovative Training Network FutureArctic . About FutureArctic The EU-funded Innovative Training Network FutureArctic aims to quantify how much carbon will escape from the Arctic in future climate. How do the multitude of ecosystem processes, driven by plant growth, microbial activities and soil characteristics, interact to determine soil carbon storage capacity? A group of fifteen PhD-students will study the Forhot ecosystem in Iceland, where a natural coincidence has provided us with the exceptional opportunity to look into the future. Given the strong urgency of tackling and managing the climate challenge and the particularly important role herein of (sub)Arctic ecosystems, a rapid assessment of the ecosystem and ambient processes in this natural laboratory is essential. FutureArctic will achieve this challenge by adopting the fast advances made in the field of machine learning and artificial intelligence (AI), unmanned aerial vehicles (UAV) and (remote) sensor technology into environmental research at the ecosystem scale, into a new concept of an ecosystem-of-things . FutureArctic thus aims to channel an important evolution to automated machine-assisted fundamental environmental research. This is achieved through dedicated training of researchers with profiles at the inter-sectoral edge of computer science, artificial intelligence, environmental and agricultural science, sensor engineering and communication and social sciences. FutureArctic training ensures the development of unique enviro-technological job profiles, all with their own specialty, embedded in holistic knowledge on connected high-data throughput ecosystem research, ready for machine-assisted environmental ecosystem science and modelling. About your project ESR6 - The carbon balance in sub-arctic ecosystems The primary objective is to quantify the C balance and the effect of warming on ecosystem-level CO2 and H2O fluxes. You will install two fully automated gas exchange chambers developed at UCPH and DMR to perform automated measurements of ecosystem-level gas exchange. Complementary field campaigns will be carried out using the automated NEE systems owned by LBHI, to cover spatial variability and effects of different warming levels. The goal is a detailed analysis of carbon uptake (photosynthesis) and carbon release (ecosystem respiration) along the temperature gradient and potential changes from net carbon uptake to net carbon source as the temperature increases. Campaigns with high-frequency measurements will provide pioneer insights into potential effects of geological (geothermal CO2) efflux influencing the carbon balance. The position is available for a 3-year period and your key tasks as a PhD student are: To manage and carry through your research project Attend PhD courses Write scientific articles and your PhD thesis Teach and disseminate your research To conduct secondments at the partner institutes Work for the department Principal supervisor is Associate Professor Klaus Steenberg Larsen, Forest, Nature and Biomass Section, University of Copenhagen, ksl@ign.ku.dk, 45 9356 5583. The PhD will be co-supervised by Professor Bjarni D. Sigurdsson (Agricultural University of Iceland, bjarni@lbhi.is) and Professor Michael Bahn (University of Innsbruck, Michael.Bahn@uibk.ac.at). Eligibility criteria The researcher must not have resided or carried out his her main activity (work, studies, etc.) in the country of his her host organization (Denmark) for more than 12 months in the 3 years immediately prior to his her recruitment - unless as part of a procedure for obtaining refugee status under the Geneva Convention. The researcher must be Early Stage Researcher (ESR): at time of recruitment he she must be in the first 4 years (full-time equivalent research experience)of his her research careers and must not have been awarded a doctoral degree. Further requirements Marie Curie Training Networks offer a unique opportunity to get cutting-edge training in a multidisciplinary environment with a focus on academic and personal development of the PhD fellows. The supervisors in the network each provides specific competences, and as part of the network you develop your skills and carry out research both independently and as part of a network of 15 PhD fellows. The consortium ensures exchange of ideas through network-wide training events, summer schools and intersectoral secondments. As a PhD fellow in the FutureArctic network, you need to have good social skills, be innovative and goal-oriented and be willing to conduct the planned secondments. Applicants should hold an MSc degree or equivalent in the field of environmental sciences, biology, geography or a related discipline. Applicants must have experience with measurements of greenhouse gas fluxes between ecosystem and atmosphere. Applicants must have an ability to understand and express themselves in both written and spoken English to a level that is sufficiently high for them to derive the full benefit from the network training. About the host and secondment institute University of Copenhagen is the largest research and education institution in Denmark. Internationally, the University is highly competitive and is ranked as one of the leading universities globally with the most recent Shanghai rankings placed the University as No. 30 worldwide and No. 6 in Europe. This is also reflected by its membership of the prestigious International Alliance of Research Universities. The Dept. of Geosciences and Natural Resource Management (IGN) has 400 employees and 25 full professors. It has a broad basis in ecology, nature management, geology and geography, and a strong research focus on climate and environment. UCPH has a strong commitment to its doctoral programme and IGN recruits over 35 new PhDs annually, about half being foreign students, which ensures a multicultural, international environment. IGN has a number of highly instrumented large-scale field experiments and monitoring stations that will be used for local ERS training. Klaus Steenberg Larsen, the principal supervisor of the PhD, is an expert in ecosystem carbon dynamics, flux measurements and instrumentation, i.e. has co-developed the gas exchange chambers to be used by this PhD. Terms of employment Employment will start: 1 November 2019, or shortly thereafter. The terms of employment and salary are in accordance with Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State, and according to the rules and regulations laid down by the European Union s Horizon 2020 Marie Sklodowska-Curie Action European Training Network. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the University s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agree¬ment between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 27.135 DKK approx. 3.633 EUR (April 2019-level) plus pension. More information More information about the FutureArctic project can be found at www.futurearctic.eu For further information about the position, applicants may contact principal supervisor Associate Professor, Klaus Steenberg Larsen, Forest, Nature and Biomass Section, University of Copenhagen, ksl@ign.ku.dk, 45 9356 5583. Application Your application must be submitted electronically by clicking Apply now below. The application must include the following documents in PDF format: Motivated letter of application (max. one page) Proposed project plan, including suggestion for methods and expected results (max. three pages) CV incl. education, experience, language skills and other skills relevant for the position Master of Science diploma and transcript of records. If not completed, a certified signed copy of a recent transcript of records or a written statement from the institution or supervisor will do Publication list (if relevant) The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background. The deadline for applications is 10 September 2019. We reserve the right not to consider material received after the deadline, and not to consider applications or letters of recommendation that do not live up to the above-mentioned requirements. The further process After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. The assessor makes a non-prioritized assessment of the academic qualifications and experience with respect to the above-mentioned area of research, techniques, skills and other requirements listed in the advertisement. Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him herself. You can read about the recruitment process at http: employment.ku.dk faculty recruitment-process The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities. Interviews for the position will be held in the second half of October 2019 via Skype, Zoom, or equivalent.A 3-year PhD fellowship in carbon balance in sub-arctic ecosystems is available at the Forest, Nature & Biomass section, Dept. Geosciences & Natural Resource Management with an expected start 1 November 2019, or shortly thereafter.

The fellowship is funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 813114 Innovative Training Network "FutureArctic”.

About FutureArctic
The EU-funded Innovative Training Network FutureArctic aims to quantify how much carbon will escape from the Arctic in future climate. How do the multitude of ecosystem processes, driven by plant growth, microbial activities and soil characteristics, interact to determine soil carbon storage capacity? A group of fifteen PhD-students will study the Forhot ecosystem in Iceland, where a natural coincidence has provided us with the exceptional opportunity to look into the future.

Given the strong urgency of tackling and managing the climate challenge and the particularly important role herein of (sub)Arctic ecosystems, a rapid assessment of the ecosystem and ambient processes in this natural laboratory is essential. FutureArctic will achieve this challenge by adopting the fast advances made in the field of machine learning and artificial intelligence (AI), unmanned aerial vehicles (UAV) and (remote) sensor technology into environmental research at the ecosystem scale, into a new concept of an ‘ecosystem-of-things’.

FutureArctic thus aims to channel an important evolution to automated machine-assisted fundamental environmental research. This is achieved through dedicated training of researchers with profiles at the inter-sectoral edge of computer science, artificial intelligence, environmental and agricultural science, sensor engineering and communication and social sciences. FutureArctic training ensures the development of unique enviro-technological job profiles, all with their own specialty, embedded in holistic knowledge on connected high-data throughput ecosystem research, ready for machine-assisted environmental ecosystem science and modelling.

About your project
ESR6 - The carbon balance in sub-arctic ecosystems

The primary objective is to quantify the C balance and the effect of warming on ecosystem-level CO2 and H2O fluxes. You will install two fully automated gas exchange chambers developed at UCPH and DMR to perform automated measurements of ecosystem-level gas exchange. Complementary field campaigns will be carried out using the automated NEE systems owned by LBHI, to cover spatial variability and effects of different warming levels. The goal is a detailed analysis of carbon uptake (photosynthesis) and carbon release (ecosystem respiration) along the temperature gradient and potential changes from net carbon uptake to net carbon source as the temperature increases. Campaigns with high-frequency measurements will provide pioneer insights into potential effects of geological (geothermal CO2) efflux influencing the carbon balance.

The position is available for a 3-year period and your key tasks as a PhD student are:

  • To manage and carry through your research project
  • Attend PhD courses
  • Write scientific articles and your PhD thesis
  • Teach and disseminate your research
  • To conduct secondments at the partner institutes
  • Work for the department
Principal supervisor is Associate Professor Klaus Steenberg Larsen, Forest, Nature and Biomass Section, University of Copenhagen, ksl@ign.ku.dk, +45 9356 5583. The PhD will be co-supervised by Professor Bjarni D. Sigurdsson (Agricultural University of Iceland, bjarni@lbhi.is) and Professor Michael Bahn (University of Innsbruck, Michael.Bahn@uibk.ac.at).

Eligibility criteria

  • The researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the country of his/her host organization (Denmark) for more than 12 months in the 3 years immediately prior to his/her recruitment - unless as part of a procedure for obtaining refugee status under the Geneva Convention.
  • The researcher must be Early Stage Researcher (ESR): at time of recruitment he/she must be in the first 4 years (full-time equivalent research experience)of his/her research careers and must not have been awarded a doctoral degree.
Further requirements
Marie Curie Training Networks offer a unique opportunity to get cutting-edge training in a multidisciplinary environment with a focus on academic and personal development of the PhD fellows. The supervisors in the network each provides specific competences, and as part of the network you develop your skills and carry out research both independently and as part of a network of 15 PhD fellows. The consortium ensures exchange of ideas through network-wide training events, summer schools and intersectoral secondments. As a PhD fellow in the FutureArctic network, you need to have good social skills, be innovative and goal-oriented and be willing to conduct the planned secondments.

Applicants should hold an MSc degree or equivalent in the field of environmental sciences, biology, geography or a related discipline. Applicants must have experience with measurements of greenhouse gas fluxes between ecosystem and atmosphere. Applicants must have an ability to understand and express themselves in both written and spoken English to a level that is sufficiently high for them to derive the full benefit from the network training.

About the host and secondment institute
University of Copenhagen is the largest research and education institution in Denmark. Internationally, the University is highly competitive and is ranked as one of the leading universities globally with the most recent Shanghai rankings placed the University as No. 30 worldwide and No. 6 in Europe. This is also reflected by its membership of the prestigious International Alliance of Research Universities.

The Dept. of Geosciences and Natural Resource Management (IGN) has 400 employees and 25 full professors. It has a broad basis in ecology, nature management, geology and geography, and a strong research focus on climate and environment. UCPH has a strong commitment to its doctoral programme and IGN recruits over 35 new PhDs annually, about half being foreign students, which ensures a multicultural, international environment. IGN has a number of highly instrumented large-scale field experiments and monitoring stations that will be used for local ERS training. Klaus Steenberg Larsen, the principal supervisor of the PhD, is an expert in ecosystem carbon dynamics, flux measurements and instrumentation, i.e. has co-developed the gas exchange chambers to be used by this PhD.

Terms of employment
Employment will start: 1 November 2019, or shortly thereafter.

The terms of employment and salary are in accordance with Memorandum on Job Structure for Academic Staff. Terms of appointment and payment accord to the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State, and according to the rules and regulations laid down by the European Union’s Horizon 2020 Marie Sklodowska-Curie Action European Training Network.

The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the University’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agree¬ment between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 27.135 DKK /approx. 3.633 EUR (April 2019-level) plus pension.

More information
More information about the FutureArctic project can be found at www.futurearctic.eu

For further information about the position, applicants may contact principal supervisor Associate Professor, Klaus Steenberg Larsen, Forest, Nature and Biomass Section, University of Copenhagen, ksl@ign.ku.dk, +45 9356 5583.

Application
Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following documents in PDF format:

  1. Motivated letter of application (max. one page)
  2. Proposed project plan, including suggestion for methods and expected results (max. three pages)
  3. CV incl. education, experience, language skills and other skills relevant for the position
  4. Master of Science diploma and transcript of records. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor will do
  5. Publication list (if relevant)
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

The deadline for applications is 10 September 2019.

We reserve the right not to consider material received after the deadline, and not to consider applications or letters of recommendation that do not live up to the above-mentioned requirements.

The further process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor.

The assessor makes a non-prioritized assessment of the academic qualifications and experience with respect to the above-mentioned area of research, techniques, skills and other requirements listed in the advertisement.

Once the assessment work has been completed each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.

You can read about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

Interviews for the position will be held in the second half of October 2019 via Skype, Zoom, or equivalent.

KU - SCIENCE - NBIKøbenhavn Ø2019-08-12T00:00:002019-09-10T00:00:00
330063393Senior UX researcher / product designerRobot Are you a master of UX research and the full stack of product design? Research, ideation, prototyping, UX UI, product prioritisation, data driven design, cross-functional collaboration? And have a particular interest in UX research? Then you are exactly what we are looking for. The company Actimo is an employee engagement app that allows companies to efficiently communicate with, train, and lead non-desk employees! (Yes, people who are not in front of a screen every day!) Actimo is the fastest growing employee app in the Nordics and over the last two years, have opened offices in Barcelona, Mexico, Guatemala and London, and have clients like Circle K, BMW, ISS, BoConcept and many more. We are around 50 Actimonians today of 13 different nationalities. We have the ambition to become one of the global market leaders in connecting companies and their employees. We need you on the journey. The position Actimo is seeking a seasoned UX researcher Product Designer who will work with full stack squad to craft end-to-end outcomes for our clients. We are looking for someone who is highly skilled, self-driven, and used to working with a tech team, and do research with clients, and navigating with stakeholders . Our two squads are located in Copenhagen and Barcelona, and projects are cross-border and cross-functional. Besides being a part of the Product team, your closest allies will be Tech, Product Marketing, Customer Success, our customers, and the end users, the thousands of employee using the app every day. Main responsibilities As responsible for doing UX research for the squads, you will be framing and solving design challenges from A to B: research, define and prototyping as well as improving existing journeys through design. Together with Product Management, Customer Success and Product Marketing you will ensure that we know what we build, ship and do a difference. Take design decision based on the overall metrics and KPIs. Continuously work on improving actual patterns and creating new ones, to raise the bar of the UX level of this industry Contribute to our wins, culture, and team fun Desired skills and experience 5 years experience with digital product design and UX research Strong understanding of the SaaS-based business model, user journeys or working on a product team. Data driven mindset and analytics power Excellent communication skills, able to navigate with multiple stakeholders Passion for solving complex problems, eastics and details Benefits and perks Competitive base salary Warrant (Stock option) program Room to grow with talented, and committed people Travels to our offices in Barcelona and Copenhagen Company-wide trips and activities Coffee, drinks, beer, snacks and fruit For detailed questions, please contact Head of Product, Anders Kragelund on anders.kragelund@actimo.com or 45 28 14 30 12 Please visit https: www.actimo.com careers for other Product jobs.

Are you a master of UX research and the full stack of product design? Research, ideation, prototyping, UX/UI, product prioritisation, data driven design, cross-functional collaboration? And have a particular interest in UX research? Then you are exactly what we are looking for.  

 

The company

Actimo is an employee engagement app that allows companies to efficiently communicate with, train, and lead non-desk employees! (Yes, people who are not in front of a screen every day!)

Actimo is the fastest growing employee app in the Nordics and over the last two years, have opened offices in Barcelona, Mexico, Guatemala and London, and have clients like Circle K, BMW, ISS, BoConcept and many more. 

We are around 50 Actimonians today of 13 different nationalities. We have the ambition to become one of the global market leaders in connecting companies and their employees. We need you on the journey.  

 

The position

Actimo is seeking a seasoned UX researcher/Product Designer who will work with full stack squad to craft end-to-end outcomes for our clients. We are looking for someone who is highly skilled, self-driven, and used to working with a tech team, and do research with clients, and navigating with stakeholders .

Our two squads are located in Copenhagen and Barcelona, and projects are cross-border and cross-functional. Besides being a part of the Product team, your closest allies will be Tech, Product Marketing, Customer Success, our customers, and the end users, the thousands of employee using the app every day.

Main responsibilities

  • As responsible for doing UX research for the squads, you will be framing and solving design challenges from A to B: research, define and prototyping as well as improving existing journeys through design.

  • Together with Product Management, Customer Success and Product Marketing you will ensure that we know what we build, ship and do a difference.

  • Take design decision based on the overall metrics and KPIs.

  • Continuously work on improving actual patterns and creating new ones, to raise the bar of the UX level of this industry

  • Contribute to our wins, culture, and team fun

 

Desired skills and experience

  • 5+ years experience with digital product design and UX research

  • Strong understanding of the SaaS-based business model, user journeys or working on a product team.  

  • Data driven mindset and analytics power

  • Excellent communication skills, able to navigate with multiple stakeholders

  • Passion for solving complex problems, eastics and details

 

Benefits and perks 

  • Competitive base salary

  • Warrant (Stock option) program

  • Room to grow with talented, and committed people

  • Travels to our offices in Barcelona and Copenhagen

  • Company-wide trips and activities

  • Coffee, drinks, beer, snacks and fruit

 

For detailed questions, please contact Head of Product, Anders Kragelund on anders.kragelund@actimo.com or +45 28 14 30 12

Please visit https://www.actimo.com/careers/ for other Product jobs.

ACTIMO ApSKøbenhavn Ø2019-07-24T00:00:002019-09-13T00:00:00
330076190Senior UX ResearcherRobot There s still so much more we want to learn about at Trustpilot. What moves people to leave a good reviews versus a bad review - and what do they need to be able to properly express themselves? What challenges do companies face when wanting to collaborate with their customers and learn from them? We believe building great products starts with understanding our users. To first listen and reason about what users would like, and then to reverse-engineer what we should build. This requires good research, so we re looking for a seasoned Senior UX Researcher who will work closely with our UX designers (and the product teams they are embedded in) to empower them with the right insights at the right time. You ll be collaborating closely with our product and design leadership to plan research efforts, identify knowledge gaps and make strategic and tactical recommendations that align with product development cycles for maximum impact. You will also contribute to building out our research practice and making it world class. You are an inquisitive self starter who is obsessed with understanding what makes people tick along with their behaviours and motivation. You are adept at synthesizing data and deploying insights that drive decisions and push behaviour change. Additionally, you have experience working at a macro level with managing research and collaboration with product teams. Responsibilities Drive the user research efforts for our Consumer products - translating insights and trends into tactical and strategic recommendations Partner with product managers, designers, and engineers to identify insight needs and research opportunities, which will enable us to improve and create user-centric products in a fast-paced, changing environment Use a wide range of research methods (such as usability testing, contextual inquiry, diary studies, surveys, guerrilla research, participatory workshops, A B testing analysis, etc), as appropriate for the questions we re asking Synthesize results of research into concise and powerful learnings and share broadly across the organization Develop compelling ways to communicate, socialize and promote research findings throughout the company to foster an informed, user-centered mindset Mentor and coach other UX team members and product management on research methods Help us build out the research function by establishing best practices, a toolbox for the research team, UX team and beyond, and promoting the power of research Requirements A minimum of four years of UX research experience, with proven track record of conducting strategic and design research projects Experience in mentoring growing leading a team and helping it flourish Ethnography, service design, user research or equivalent experience at a tech company or startup Strong understanding of the strengths and shortcomings of different research methods (qualitative and quantitative), including when and how to apply them efficiently during each product phase Examples demonstrating your process and the impact of your work Comfortable working in a fast-paced agile work environment We Offer Opportunities to learn and develop your career in a fast-paced company 20 time - where you can use this time for innovation and self-development A chance to be a key part of an exciting international growth journey Great colleagues and a supportive work culture that you can believe in Great location in central Copenhagen Application To apply for this position, please submit a CV and cover letter telling us why you are perfect for this job.If you have questions, please feel free to contact our Tech Recruiter, Nataliia Tolstikova, at nat@trustpilot.com About Trustpilot At Trustpilot, we re passionate about our mission to inspire ever-improving experiences for everyone. Working here s an opportunity to collaborate with talented and dedicated people in a rapidly growing, fast-paced, and agile environment. With vibrant office locations all around the world and over 40 nationalities, we re proud to be an equal opportunity workplace with diverse perspectives and ideas. And let s not forget the Scandinavian work-life balance — we work hard every day, but we also take the time to catch up with colleagues over a game of foosball, a cup of coffee, or maybe grab a beer after work. Want to know more about Trustpilot culture? Check us out on The Muse Here is a sneak peek into our Tech department Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed and stored globally as necessary for the uses and disclosures stated in ourPrivacy Policy.

There’s still so much more we want to learn about at Trustpilot. What moves people to leave a good reviews versus a bad review - and what do they need to be able to properly express themselves? What challenges do companies face when wanting to collaborate with their customers and learn from them? 

We believe building great products starts with understanding our users. To first listen and reason about what users would like, and then to reverse-engineer what we should build. This requires good research, so we're looking for a seasoned Senior UX Researcher who will work closely with our UX designers (and the product teams they are embedded in) to empower them with the right insights at the right time.

You'll be collaborating closely with our product and design leadership to plan research efforts, identify knowledge gaps and make strategic and tactical recommendations that align with product development cycles for maximum impact. You will also contribute to building out our research practice and making it world class.

You are an inquisitive self starter who is obsessed with understanding what makes people tick along with their behaviours and motivation. You are adept at synthesizing data and deploying insights that drive decisions and push behaviour change. Additionally, you have experience working at a macro level with managing research and collaboration with product teams. 

Responsibilities

  • Drive the user research efforts for our Consumer products - translating insights and trends into tactical and strategic recommendations 
  • Partner with product managers, designers, and engineers to identify insight needs and research opportunities, which will enable us to improve and create user-centric products in a fast-paced, changing environment
  • Use a wide range of research methods (such as usability testing, contextual inquiry, diary studies, surveys, guerrilla research, participatory workshops, A/B testing analysis, etc), as appropriate for the questions we’re asking
  • Synthesize results of research into concise and powerful learnings and share broadly across the organization
  • Develop compelling ways to communicate, socialize and promote research findings throughout the company to foster an informed, user-centered mindset
  • Mentor and coach other UX team members and product management on research methods
  • Help us build out the research function by establishing best practices, a toolbox for the research team, UX team and beyond, and promoting the power of research 

Requirements

  • A minimum of four years of UX research experience, with proven track record of conducting strategic and design research projects
  • Experience in mentoring / growing / leading a team and helping it flourish
  • Ethnography, service design, user research or equivalent experience at a tech company or startup
  • Strong understanding of the strengths and shortcomings of different research methods (qualitative and quantitative), including when and how to apply them efficiently during each product phase 
  • Examples demonstrating your process and the impact of your work
  • Comfortable working in a fast-paced agile work environment

We Offer

  • Opportunities to learn and develop your career in a fast-paced company
  • 20% time - where you can use this time for innovation and self-development
  • A chance to be a key part of an exciting international growth journey
  • Great colleagues and a supportive work culture that you can believe in
  • Great location in central Copenhagen

Application

To apply for this position, please submit a CV and cover letter telling us why you are perfect for this job.If you have questions, please feel free to contact our Tech Recruiter, Nataliia Tolstikova, at nat@trustpilot.com

About Trustpilot

At Trustpilot, we’re passionate about our mission to inspire ever-improving experiences for everyone. Working here’s an opportunity to collaborate with talented and dedicated people in a rapidly growing, fast-paced, and agile environment.

With vibrant office locations all around the world and over 40 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.

And let’s not forget the Scandinavian work-life balance — we work hard every day, but we also take the time to catch up with colleagues over a game of foosball, a cup of coffee, or maybe grab a beer after work.

Want to know more about Trustpilot culture? Check us out on The Muse

Here is a sneak peek into our Tech department

Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed and stored globally as necessary for the uses and disclosures stated in ourPrivacy Policy.

TRUSTPILOT A/SKøbenhavn K2019-08-21T00:00:002019-09-16T00:00:00
da-DK

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