Ledig stilling på Universitetet i Oslo
Postdoctoral Research Fellow in Deep Learning for image analysis
Universitetet i Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.
About the position
Position as Postdoctoral Research Fellowship available at at Visual Intelligence, a new Centre for Research-driven Innovation.
The position is for a period of 2 years. Starting date in agreement with Department of Informatics.
Visual Intelligence is a new Centre for Research-driven Innovation (Senter for forskningsdrevet innovasjon – SFI), with research partners at University of Oslo, University of Tromsø, and Norwegian Computing Center. Our vision is to advance deep learning research for the next decade, providing cutting-edge complex image analysis solutions to answer innovation needs shared across a consortium of corporate and public user partners. These partners reflect selected innovation areas within medicine and health; marine sciences; energy; and earth observation. Please see the centre web pages http://visual-intelligence.no for an overview of partners and the centre’s organization.
No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.
The research challenges that the candidates will be addressing within deep learning are related to:
- learning from limited training data
- improved capturing of context and dependencies
- incorporation of uncertainty
- explainable deep learning
The core of the positions is method development. The methods will be applied to real data from medical imaging, earth observation, and within the marine and energy sector.
The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. The position will be associated with a new center in Data Science and Computational Science at the Faculty for Mathematics and Natural Sciences. The candidate will work cross-disciplinary in cooperation with Department of Mathematics.
The main purpose of a postdoctoral fellowship is to provide the candidates with enhanced skills to pursue a scientific top position within or beyond academia. To promote a strategic career path, all postdoctoral research fellows are required to submit a professional development plan no later than one month after commencement of the postdoctoral period.
The Faculty of Mathematics and Natural Sciences has a strategic ambition is to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.
- Applicants must hold a doctoral degree or an equivalent qualification incomputer vision, mathematics, statistics, or physics with a strong component in machine learning. Doctoral dissertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment.
- Fluent oral and written communication skills in English.
- Fluent oral and written commutation skills in a Scandinavian language will be an advantage particularly for teaching bachelor courses.
- Solid programming experience in Python and preferably also deep learning frameworks like PyTorch/Tensorflo
- A solid background in mathematics or statistic
- Experience with image analysis
- Good analytical skills
- Ability to lead and conduct research in a collaborative environment
- Ability to work independently as well as in multidisciplinary teams
- Ability to give and receive constructive scientific criticism
- Salary NOK 526 000 – 608 200 per year depending on qualifications in position as Postdoctoral Research Fellowship (position code 1352)
- Attractive welfare benefits and a generous pension agreement
- Professionally stimulating working environment
- Vibrant international academic environment
- Postdoctoral development programmes
- Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
- Cover letter (statement of motivation, summarizing scientific work and research interest)
- CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
- Copies of educational certificates, academic transcript of records and letters of recommendation
- A complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committee
- Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
The application with attachments must be delivered in our electronic recruiting system. Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).
In assessing the applications, special emphasis will be placed on the documented, academic qualifications, as well as the candidate’s motivation and personal suitability.
Interviews with the best qualified candidates will be arranged.
Please see the guidelines and regulations for appointments to Postdoctoral fellowships at the University of Oslo.
No one can be appointed for more than one Postdoctoral Fellow period at the University of Oslo.
According to the Norwegian Freedom of Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.
- Professor Anne Solberg, phone: +47 97044299 / 22852435, e-mail: [email protected]
For technical questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, e-mail: [email protected]