PhD fellow in Medical Image Analysis

Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Medical Image Analysis commencing 1 March 2021 or as soon as possible thereafter.

Description of the scientific environment

The student will be employed at the Department of Computer Science (www.diku.dk) in the Machine Learning Section and be part of the Medical Image Analysis research group (https://di.ku.dk/english/research/imagesection/medical-imaging/). The student will also have a formalized collaboration with the departments of Neurology and Radiology at the Copenhagen University Hospital. This setup offers world-class collaboration opportunities regarding the methodological as well as the medical aspects of the project.

Project description

The student will be employed within the Deep Consciousness project. The aim is to develop machine learning methods that can predict the outcome for unconscious patients (typically following trauma) in the intensive care unit at the hospital – can they regain consciousness? This prediction may support medical treatment decisions including whether to continue life support. We will focus on image analysis of the serial CT scans that are routinely being acquired in the ICU. We will build on deep learning methodologies, likely augmenting CNNs to gracefully harvest the information in the serial CT data. We will collaborate closely with the clinical partners (in particular Daniel Kondziella), ensuring that the methodologies directly address the clinical needs.

Principal supervisor is Associate Professor Erik Dam, Department of Computer Science, erikdam@di.ku.dkhttps://scholar.google.dk/citations?user=X_SLVUIAAAAJ&hl=en

Co-supervisor is Clinical Research Associate Professor and Consultant Neurologist Daniel Kondziella, Department of Clinical Medicine at UCPH and Department of Neurology.

Job description

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 Computer Science, Engineering, Statistics or equivalent areas with strong Machine Learning foundation. The applicant must demonstrate 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.

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 331,125 (approx. €43,750) including annual supplement (+ pension at a minimum DKK 53,811). 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)
  • Other information for consideration, e.g. list of publications (if any)
  • 1-3 reference letters (if any)

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 December 2020, 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 https://employment.ku.dk/faculty/recruitment-process/.

Questions

For specific information about the PhD scholarship, please contact the principal supervisor Associate Professor Erik Dam, Department of Computer Science, erikdam@di.ku.dk, +45 20990894.

General information about PhD programmes at SCIENCE is available at https://www.science.ku.dk/phd.

APPLY NOW

Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.