Ledig stilling på Universitetet i Oslo

Blindern og Urbygningen (Foto: Wikimedia og Colourbox)
Blindern og Urbygningen (Foto: Wikimedia og Colourbox)

PhD Research Fellowship in Machine learning for image analysis

Deadline 07.04.2019

Job description

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 1400 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 scientific staff is 75, mostly Full/Associate Professors.

Flere stillinger fra Universitetet i Oslo

A PhD Research Fellowship in Machine learning for image analysis is available at the Department of Informatics.

The fellowship period is 3 years. Candidates may be offered one additional year by the Department of Informatics; the 4 years position then entails a compulsory work load of 25% that consists of teaching and supervision duties.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.Starting date no later than 01.10.2019.

More about the position

The position is located in the Digital Signal Processing and Image Analysis (DSB) group, and will focus on deep learning for image analysis for complex visual data. The focus of the position will be on studying methods for understanding the explainability and robustness of deep learning based on convolutional networks for image recognition. If the network predicts a certain object, e.g. a tumor, the goal is to be able to provide insights into what supports this decision in different layers, and which spatial regions are most important, and how certain is the prediction.

The DSB group works on several imaging applications. The candidate will work on deep learning applied to several of these image analysis applications, to investigate the measures of explanation related to the application.

Qualification requirements

The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. 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.

  • Master’s degree or equivalent preferably in machine learning or image analysis. A background in physics/statistics/applied mathematics can also be considered given that the candidate has formal competence in machine learning and/or image analysis
  • Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
  • Documented knowledge and experience in Python programming is required
  • Documented knowledge and experience in frameworks like TensorFlow or PyTorch is desirable
  • A solid background in mathematics, linear algebra, and/or statistics is also required
  • Candidates without a Master’s degree have until 30 June, 2019 to complete the final exam

Grade requirements:

The norm is as follows:

  • the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
  • the average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
  • the Master’s thesis must have the grade B or better in the Norwegian educational system
  • Fluent oral and written communication skills in English

http://www.mn.uio.no/english/research/phd/application/application.html

We offer

  • salary NOK 449 900 – 505 800 per annum depending on qualifications in a position as PhD Research fellow, (position code 1017)
  • attractive welfare benefits and a generous pension agreement, in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities

How to apply

The application must include

  • cover letter
  • statement of motivation and research interests
  • cv (summarizing education, positions and academic work - scientific publications)
  • copies of the original Bachelor and Master’s degree diploma, transcripts of records
  • letters of recommendation
  • documentation of English proficiency for International applicants
  • list of publications and academic work 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, please follow the link “Apply for this job”. 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).

Short-listed applicants will be called in for an interview.

Formal regulations

Please see the guidelines and regulations for appointments to Research Fellowships at the University of Oslo.

The purpose of the fellowship is research training leading to the successful completion of a PhD degree.

The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application to the PhD programme must be submitted to the department no later than two months after taking up the position. For more information see:

http://www.mn.uio.no/english/research/phd/

According to the Norwegian Freedom and 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

For technical questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, +47 22 85 42 72, [email protected]

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