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Postdoctoral Research Fellow in Deep Learning

Deadline: 01.06.2021

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 Department of Informatics.

The appointment is a fulltime position and is made for a period of three years. Starting date in agreement with Department of Informatics.

No one can be appointed for more than one Postdoctoral Research Fellowship at the University of Oslo.

Project description

The main target for the postdoctoral position will be to develop methods based on Deep learning for automated measurements and interpretation of medical ultrasound images of the heart.

The position is part of an industrial project funded by the Norwegian Research Council through GE Healthcare. The project is called “EchoAI” with participants also from GE Healthcare as well as the Norwegian Computing Center. The research results will aim to be considered for necessary adaptation and implementation within future products from GE Healthcare. Although the project is mainly focused on Deep learning projects, combination of Deep learning and other machine learning methods will be explored.

The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. The work will be conducted in close cooperation with researchers in GE Healthcare and the Norwegian Computing Center.

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.

Qualification requirements

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 degree equivalent to a Norwegian doctoral degree in computer 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.
  • Competency in medical ultrasound imaging will be an advantage
  • Fluent oral and written communication skills in English. Fluent oral and written communication skills in a Scandinavian language will be an advantage

The following qualifications will count in the assessment of the applicants:

Desirable personal and technical skills:

  • PhD in computer vision, mathematics, statistics, or physics with a strong component in machine learning
  • Good analytical skills
  • Solid programming experience in Python and preferably also deep learning frameworks like PyTorch/Tensorflow
  • A solid background in mathematics or statistics
  • Experience with image analysis
  • 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

We offer

  • 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, as well as your relevance in relation to the required and desired qualifications listed in the announcement)
  • CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
  • Copies of educational certificates, (academic transcripts only)
  • Letters of recommendation
  • 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 for the particular position.

Interviews with the best qualified candidates will be arranged.

It is expected that the successful candidate will be able to complete the project in the course of the period of employment.

Formal regulations

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.

Contact information

  • Professor Anne Solberg, phone: +47 97044299 / 22852435, e-mail: anne@ifi.uio.no

For technical questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, e-mail: t.s.guttormsen@mn.uio.no.

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