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PhD scholarship in Dynamic Tomography imaging of biological structures

Department of Computer Science at University of Copenhagen (DIKU) is offering a PhD scholarship in Reconstruction of Dynamic Computed Tomography Images commencing 16 April 2018 or as soon as possible thereafter. The project is financed by The Capital Region Research Foundation.  
 
The PhD position is a full-time position with a union negotiated pay level and full social benefits such as pension, sick leave and parental leave. PhD positions also include funding for travel.  
 
Project description  
The goal of the project is to design and implement new types of dynamic tomography reconstruction algorithms for imaging the 3D movement of biological structures. The image modality is synchrotron imaging that allows for the acquisition of high-resolution 3D images with limited temporal resolution. This is a modelling and computational challenging task, wherefore the project will focus on revealing the 3D information of the tail-beating of spermatozoa as a case. Examples of topics to be considered are: time varying radon transform, invariant feature detections, Bayesian inference, motion compensation, and generative modelling.  
 
The student will be part of a cross-disciplinary research team and take part in collecting biological data at some of the world’s most power full synchrotron radiation facilities.  
 
The PhD student must have  

  • An unstoppable drive and excitement for tackling numerical, statistical, and geometric challenges in image analysis  
  • A documented solid background one or more of: tomographic reconstruction, numerical analysis, scientific computing  
  • Documented solid programming experience preferably in one or more of: C/C++/C#, Python, Matlab.  
  • A MSc degree in Computer Science, Mathematics/Statistics, Engineering, Physics or similar.  
  • No fear of mathematics  
In addition, it is an advantage if the candidate has experience with one or more of the following:  
  • Image analysis  
  • Radon transformation and tomographic reconstruction  
  • Regularisation  
  • Physics based simulation  
We offer  
  • A fully financed position in a 3-year PhD programme  
  • A rare position at the intersection of mathematical modelling, scientific computing, large scale computation, biological modelling, and tomographic reconstruction  
  • An international and active interdisciplinary research environment in image computing and data science  
Description of the scientific environment  
This project is part of the Max IV Medical Imagers consortium, which is a collaboration between DIKU (http://diku.dk/english/); The Technical University of Denmark (DTU, http://www.dtu.dk/english); and Danish Research Centre for Magnetic Resonance, Hvidovre Hospital (DRCMR, http://www.drcmr.dk).  
 
The candidate will work mainly at the Image Group at DIKU and partly at DRCMR, and the candidate will have ample opportunity to interact with world-class researchers at DIKU, DTU, DRCMR and MAX IV. The consortium consists for the moment of 2 PhDs, 2 postdocs, and 2 supervisors.  
 
Note that DIKU is presently ranked as the 11th best Computer Science & Engineering Department in the world on the ShanghaiRanking's Global Ranking of Academic Subjects 2017.  
 
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 317.448 including annual supplement (+ pension up to DKK 43.848). Negotiation for salary supplement is possible.  
 
Application Procedure  
The application, in English, must be submitted electronically by clicking APPLY NOW below.  
 
Please include  
  • Cover Letter 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 referees  
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 18 February 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 Associate Professor Jon Sporring, Department of Computer Science, E-mail sporring@di.ku.dk.  
 
General information about PhD programmes at SCIENCE is available at http://www.science.ku.dk/phd.  
 
 
 
 
 
 


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