PhD Research Fellowships in Machine learning at Visual Intelligence, a new Centre for Research-driven Innovation -1-3 positions

Job description

1-3 PhD Research Fellowships in Machine learning for image analysis is available at the Department of Informatics, University of Oslo.

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.

One position has starting date as soon as possible (tentative March/April 2021).The two other positions are open for candidates which complete their master degree no later than June 2021, with a starting date 1.8.2021.

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

Job Description

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.

During 2021, the centre will recruit 4 candidates at 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, and
• 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.

Depending on the background of the candidate and the project needs, a detailed plan for the PhD period will be defined.

The fellow will be part of Visual Intelligence and the DSB group. The fellow will engage in collaborative research with other members of the centre and the research group. The fellow will be expected to actively collaborate with user partners within Visual Intelligence, to contribute to the centre’s seminars, to collaborate across innovations areas within the centre, and to seek collaboration between the research partners within the centre.

Depending on the qualifications of the candidate, the fellow will be assigned to one or several of the research topics sketched above. The fellow will also be assigned a main application area.

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 Master’s degree or equivalent in machine learning or image analysis. A background in physics/statistics/applied mathematics/electrical engineering 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.
• Existing knowledge and experience in Python programming and preferably frameworks like TensorFlow or PyTorch are required.
• A solid background in machine learning, mathematics, linear algebra, and/or statistics is also required.
• Applicants must be fluent in oral and written communication in English.

Candidates without a Master’s degree have until June 30th 2021 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.
• English requirements for applicants from outside of EU/ EEA countries

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.uio.no/english/research/phd/

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

We offer

• Salary NOK 482 200 – 526 000 per annum depending on qualifications and seniority as PhD Research Fellow (position code 1017)
• Attractive welfare benefits and a generous pension agreement
• Vibrant international academic environment
• Career 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 and research interests
• CV (summarizing education, positions and academic work - scientific publications)
• Copies of educational certificates, transcripts of records and letters of recommendation
• Documentation of English proficiency
• List of reference persons: 2-3 references (name, relation to candidate, e-mail and phone 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).

Applicants may be called in for an interview.

Formal regulations

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

No one can be appointed for more than one PhD Research Fellowship 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, + 47 97044299, anne@ifi.uio.no

For questions regarding the recruitment system, please contact HR Adviser Torunn Standal Guttormsen, phone:+47 22854272,e-mail:t.s.guttormsen@mn.uio.no

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