PhD fellow in Big Data Solutions for X-ray based Image Processing (readvertisement)

The Niels Bohr Institute, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Big Data Solutions for X-ray based Image Processing commencing 15 March 2018 or as soon as possible thereafter.   
 
Description of the scientific environment  
As PhD student, you will be part of the eScience group under the Section for X-ray and Neutron Scattering, where we develop and deploy software for several scientific areas, including multimodal imaging. Our goal is to improve the productivity of the scientist as a programmer and the speed of the software solutions and at the same time reduce errors in scientific programs. The eScience group is the home of several widely used open source packages for scientific use of computers and storage. We work closely with our international peers as well as a number of industrial partners.  
 
Project description 
Your PhD project will be part of the Marie Sklodowska-Curie Innovative Training Network, “Multiscale, Multimodal, Multidimensional imaging for EngineeRING” or in short MUMMERING.  The network is concerned with interdisciplinary R&D and training in 3D imaging and its application in materials- and information science. The network offers totally 15 PhD positions. Information about all 15 PhD positions is coming soon.    
 
Your PhD project will be on developing tools for scaling image processing, where inputs will be provided from the other work-packages in MUMMERING. The focus should be on building tools that support task parallelism for large scale image analysis, it is imperative that the tools supports the way that researchers approach data analysis. Quantitative metrics includes processing speed, fault tolerance and error recovery.  
 
As a candidate, you will need skills in computer programming, data networks, storage systems and queuing systems. Knowledge of system-level programming, operating systems, distributed systems or middleware implementation is essential.  
Principal supervisor is Professor Brian Vinter, the eScience group, Section for X-ray and Neutron Scattering at The Niels Bohr Institute, E-mail: vinter@nbi.ku.dk.     
 
Jobdescription  
The position is available for a 3-year period and your key tasks as a PhD student at SCIENCE 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 stay at an external research institution for a few months, preferably abroad  
  • Work for the department  
 
Formal requirements 
Applicants should hold an MSc degree in Physics, Mathematics or Computer Science, with good results and good English skills. As criteria for the assessment of your qualifications emphasis will also be laid on previous publications (if any) and relevant work experience.  
 
In order to be eligible, each applicant must fulfil the following criteria at the time of recruitment:  
- Mobility: At the time of recruitment, the applicant must not have resided or carried out his/her main activity (work, studies, etc.) in the country of the host organization for more than 12 months in the 3 years immediately prior to his/her recruitment. Compulsory national service and/or short stays such as holidays are not taken into account.  
- Qualifications and research experience: The applicant must fulfil the requirements defined for Early Stage Researchers (ESRs): ESRs are researcher who, at the time of recruitment, has NOT yet been awarded the doctorate degree and is in the first 4 years (full-time equivalent) of his/her research career.  
 
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 at a minimum DKK 312.879 including annual supplement (+ pension up to DKK 43.219). Negotiation for salary supplement is possible.  
 
Application Procedure  
The application, in English, must be submitted electronically by clicking APPLY.   
 
Please include   
  • Cover Letter, stating which PhD project you are applying for and detailing your motivation and background for applying for the specific PhD project.   
  • CV   
  • Diploma and transcripts of records (BSc and MSc)  
  • Acceptance Letter for the relevant MSc Programme at SCIENCE, if any  
  • Other information for consideration, e.g. list of publications (if any),   
  • Full contact details (Name, address, telephone & email) of 1-3 professional references.  
 
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 1 March 2018, 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. Afterwards an assessment committee will be appointed to evaluate the selected applications. The applicants will be notified of the composition of the committee and the final selection of a successful candidate will be made by the Head of Department, based on the recommendations of the assessment committee and the interview committee.   
 
The main criterion for selection will be the research potential of the applicant and the above mentioned skills. The successful candidate will then be requested to formally apply for enrolment as a PhD student at the PhD school of Science. You can read more about the recruitment process at http://employment.ku.dk/faculty/recruitment-process/.    
 
Questions  
For specific information about the PhD scholarship, please contact the principal supervisor, Professor Brian Vinter, The Niels Bohr institute.  
 
General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd.


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