PhD fellowship in Medical Image Analysis
Department of Computer Science
Faculty of SCIENCE
University of Copenhagen
Department of Computer Science, Faculty of Science at the University of Copenhagen is offering a PhD scholarship in Medical Image Analysis commencing 01.02.2022 or as soon as possible thereafter.
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.
Who are we looking for?
Applicants should hold an MSc degree in Computer Science, Engineering, Statistics, or equivalent areas with a 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.
Our group and research- and what do we offer?
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.
We offer creative and stimulating working conditions in a dynamic and international research environment.
The principal supervisor is Professor Erik Dam, Department of Computer Science, firstname.lastname@example.org, https://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.
The PhD programme
The position is offered as a three-year full-time study within the framework of the regular PhD programme (5+3 scheme) which requires that you already have an education equivalent to a relevant Danish master’s degree.
To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a Danish master’s degree (180 ECTS/3 FTE BSc + 120 ECTS/2 FTE MSc) related to the subject area of the project, e.g. Computer Science, Engineering, Statistics or equivalent areas. For information on eligibility of completed programmes, see General assessments for specific countries and the Assessment database.
Terms of employment in the regular programme
Employment as PhD fellow is full-time and for a maximum of 3 years.
Employment is conditional upon your successful enrolment as a PhD student at the PhD School at the Faculty of SCIENCE, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
The terms of employment and salary are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure.
Responsibilities and tasks
- Carry through an independent research project under supervision
- Complete PhD courses corresponding to approx. 30 ECTS / ½ FTE
- Participate in active research environments, including a stay at another research institution, preferably abroad
- Undertake teaching and knowledge dissemination activities
- Write scientific papers aimed at high-impact journals
- Write and defend a PhD thesis based on your project
We are looking for the following qualifications:
- Professional qualifications relevant to the PhD project
- Relevant publications
- Relevant work experience
- Other relevant professional activities
- Curious mindset with a strong interest in machine learning and medical image analysis
- Good language skills
Application and Assessment Procedure
Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below.
1. Cover Letter, detailing your motivation and background for applying for the specific PhD project(max. one page) 2. Curriculum vitae including information about your education, experience, language skills, and other skills relevant for the position
3. Original diplomas for Bachelor of Science or Master of Science and transcript of records in the original language, including an authorized English translation if issued in another language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
4. Publication list (if possible)
5. Reference letters (if available)
The deadline for applications is 7 November 2021 23:59 GMT +1.
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The further process
After the deadline, some applicants will be selected for academic assessment by an unbiased expert assessor. You are notified, whether you will be passed for assessment.
The assessor will assess the qualifications and experience of the shortlisted applicants for the above-mentioned research area, techniques, skills, and other requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.
Interviews with selected candidates are expected to be held in week 49.
For specific information about the PhD fellowship, please contact the principal supervisor.
General information about PhD study at the Faculty of SCIENCE is available at the PhD School’s website: https://www.science.ku.dk/phd/.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.