Postdoctoral Fellow in medical imaging and machine learning
The University of Bergen (UiB) is an internationally recognised research university with more than 14,000 students and close to 3,500 employees at six faculties. The university is located in the heart of Bergen. Our main contribution to society is excellent basic research and education across a wide range of disciplines.
Postdoctoral Fellow in medical imaging and machine learning (3 years)
At the Faculty of Medicine, Department of Biomedicine, a full-time (100%) position as Postdoctoral Fellow is available for a period of three (3) years.
The position is part of the project “Computational medical imaging and machine learning – methods, infrastructure and applications”, at the newly established Mohn Medical Imaging and Visualization Center (MMIV), Department of Radiology, Haukeland University Hospital (https://mmiv.no), and is funded by the Bergen Research Foundation.
About the project
The goal of the project is to develop, implement, disseminate and evaluate machine learning techniques in the analysis of medical images and image-related data.
To successfully incorporate machine learning in medicine, doctors and medical specialists have to take a leading role. Our project, initiated from the Department of Biomedicine at UiB and the Department of Computing, Mathematics and Physics at HVL, is therefore tightly connected with departments at the hospital where data is collected and decisions are made. Our research is done in close collaboration with world-class clinical researchers, ensuring the research results’s relevance and increasing its potential impact. The project involves many researchers in Bergen, both clinical and methodological, in addition to national and international collaborators from world-class research institutions.
The overall aim is to contribute to increased degree of personalized medicine and better decision support for diagnosis, prognosis and therapy in diseases and conditions where images are an important source of information.
The postdoctoral fellow will work on both method development and applications.
The work will be done in a highly interdisciplinary research group consisting of biomedical researchers, mathematicians, statisticians and computer scientists, in close collaboration with clinicians
MMIV has access to state-of-the-art imaging infrastructure, e.g. the most recent models from Siemens and General Electric (GE 3TMR 750 Discovery, Siemens Prisma 3T, Siemens Skyra 3T, Siemens Biograph mMR PET/MR (from Sept 2018), Siemens Vision PET/CT)
The postdoctoral fellow will also have access to MMIV’s computational infrastructure, consisting of powerful desktop computers equipped with various NVIDIA GPUs (e.g. GeForce 1080Ti, Titan V). The hospital is in the process of establishing a novel high performance computing infrastructure which will be available to MMIV for data analysis and machine learning
The postdoctoral fellow will play an active role in introducing next-generation technology (e.g. deep learning) for medical image processing and analysis
Applications that can be investigated (depending on the candidate’s background and interests) include brain (e.g. neurodegeneration, tumour, stroke, MS), prostate (cancer), kidney (CKD, cancer, gastroenterology (brain-gut-microbiota), gynecologic cancer, and cardiac imaging
The applicant will also be encouraged to take part in the supervision of MSc and PhD candidates
For further information please contact Professor Arvid Lundervold, e-mail: firstname.lastname@example.org, phone: +47 91561824.
Qualifications and qualities
We seek highly motivated individuals with experience applying machine learning to medical images.
The candidate must hold a PhD-degree within the field of in medical/biomedical sciences or natural sciences on topics related to statistics, machine learning, computational medicine, bioinformatics or similar, or have submitted their doctoral dissertation for evaluation within the closing date of the application. It is a condition for appointment that the dissertation is approved.
Very good programming skills is a requirement. You are encouraged to include a link to your GitHub profile or similar documentation of programming competence in your application.
Candidates who have experience in both machine learning (incl. deep learning) and medical image analysis (with experience using for example scikit-learn, TensorFlow, PyTorch, Keras, scikit-image, R, MATLAB, ITK-SNAP, Nilearn, FreeSurfer) are particularly welcome to apply for this position.
The candidate should be proficient in spoken and written English.
Personal skills will be emphasized. The candidate should be able to work independently and interactively in a team setting, be motivated and responsible, and also have a great work capacity and enthusiasm for research, including writing manuscripts and preferentially also grant applications.
We can offer
A good and challenging work environment in the research front of computational medical imaging and machine learning with access to highly interesting data sets and important research questions.
Salary level 57 (code 1352/pay framework 24.1) at present NOK 490 900 gross p.a., with a degree in Medicine or Dentistry level 59 (code 1352/pay framework 24.3) at present NOK 508 800 gross p.a., with a medical specialization level 61 (code 1352/pay framework 24.5) at present NOK 527 500 gross p.a. on the government salary scale. Further promotion will be after service seniority in the position. A pension contribute of 2 % will be deducted and deposited to the state pension scheme.
A good pension scheme in the Norwegian Public Service Pension Fund
Inclusive workplace (IW)
Good welfare benefits
For more information regarding what the University of Bergen can offer its employees please visit: http://www.uib.no/en/poa/74243/what-can-university-bergen-offer-its-employees
About postdoctoral fellowships
In general, the purpose of postdoctoral positions at the University of Bergen is the building of competence by means of further development of research work to a higher level than what is possible within an ordinary PhD program. The main goals of the positions are to qualify the successful candidate for professional top positions.
Applicants shall put forward a proposal for a project for qualifying work. The proposal shall include a progress plan. It is a premise that the selected candidate will complete the project within the stipulated period of employment. Leaves of absence for other purposes than those laid down by law are normally not granted.
The employee may be assigned up to 25 % required duties in the form of teaching and similar work at the department.
Postdoctoral fellowships are fixed term positions. You cannot be employed as a postdoctoral fellow for more than one fixed term period at the same institution. Also, you cannot be employed in a postdoctoral position if you have previously held this type of position at a different institution in the region.
Recruitment to state employment
State employment shall reflect the multiplicity of the population at large to the highest possible degree. The University of Bergen has therefore adopted a personnel policy objective to ensure that we achieve a balanced age and sex composition and the recruitment of persons of various ethnic backgrounds. Persons of different ethnic backgrounds and persons with disabilities are therefore encouraged to apply for the position.
The successful applicant must comply with the guidelines that apply to the position at any time.
The University of Bergen applies the principles of public openness when recruiting staff to scientific positions. Information about the applicant may be made public even though the applicant has requested not to be named in the list of applicants. The applicant will be notified if their request is not respected.
How to apply
You send your application with attachments electronically via “Jobbnorge” by clicking on the button marked “APPLY FOR THIS JOB”.
The application must contain:
- a brief letter of application stating your motivation for the position and why you are applying
- witnessed copies of diplomas and relevant certificates (applicants with education from other countries than Norway must enclose witnessed diplomas in both the original language and authorized translations)
- complete list of publications
- publications (pdf) it is important that each of the scholarly works on which the committee should place special emphasis, is attached in its entirety
- two referees (name and contact information)
The applications will be sent electronically to the assessment committee.
Please notice that the applications will be assessed only with the information available in “Jobbnorge” when the deadline expires.