The Human Resources Strategy for Researchers

PhD fellowship in machine learning

This job offer has expired

    University of Stavanger
    Computer science
    First Stage Researcher (R1)
    15/02/2020 23:00 - Europe/Brussels
    Norway › STAVANGER


Job description

The University of Stavanger invites applicants for a Ph.D fellowship in in the field of image processing and machine learning and/or computer science at the Faculty of Science and Technology, Department of Electrical Engineering and Computer Science. The position is vacant from May 2020.

This is a trainee position that will give promising researchers an opportunity for academic development leading to a doctoral degree.

The appointment is for three years with research duties exclusively.

Applications are invited for full-time Early Stage Researcher (ESR)/PhD student positions within the EU-funded Marie Skłodowska-Curie Innovative Training Network, “CLARIFY – CLoud ARtificial Intelligence For pathologY”, Grant Agreement number 860627. CLARIFY is an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that links two highly differentiated specialities: engineering and medicine, with a focus on digital pathology. For more information visit www.clarify-project.eu. 

The scientific goal of CLARIFY is to develop a robust automated digital diagnostic environment based on digital image processing, artificial intelligence/machine learning, cloud computing, and blockchain technology, to enhance knowledge sharing and reach better‐informed decisions.  Three specific and challenging cancer types will be studied: i) Triple negative breast cancer (TNBC), ii) High-risk non-muscle invasive bladder cancer (HR-NMIBC), iii) Spitzoid melanocytic lesions (SML). 

The CLARIFY project comprises 12 positions in i) artificial intelligence, ii) cloud computing, and iii) clinical pathology.

This announcement is for ESR4, as announced on the CLARIFY’s website, with sub-project title: “Preprocessing, segmentation and anonymization of Whole Slide Images (WSI)” 

The main tasks of ESR4 will be to develop methods and algorithms to anonymize WSI, allowing multi-level role-based sharing, based on cloud computing and blockchain technology, and to preprocess WSI to prepare for further analysis.  In addition, automatic methods for region of interest extraction and segmentation based on image machine learning, as deep neural networks, will be explored for the different diseases. 

The ESR will have her/his main work place at the University of Stavanger. Close collaboration and exchange with project partners and other ESRs involved in the project are key elements of the Marie Skłodowska-Curie program.  Mandatory secondment periods are included in the project and the candidate will spend time at project partners’ facilities to access/exchange data, models and other required information for tool development and validation purposes.

Planned secondments ESR4:

SUH (M14): Practical insight into digital pathology and its requirements; UGR (M17-M19): Probabilistic modelling; LYN (M22-M23):  Clinical Decision Support Systems and clinical implementation of applications in healthcare; UVA (M29-M31):Data sharing techniques


Qualification requirements

We are looking for applicants with a strong academic background who have completed a five-year master degree (3+2) within electrical engineering or computer science, preferably acquired recently; or possess corresponding qualifications that could provide a basis for successfully completing a doctorate.

To be eligible for admission to the doctoral programmes at the University of Stavanger both the grade for your master’s thesis and the weighted average grade of your master’s degree must individually be equivalent to or better than a B grade.

Applicants with an education from an institution with a different grade scale than A-F should attach a confirmed conversion scale that shows how the grades can be compared with the Norwegian A-F scale.

The applicants is further required to have subjects like:

  • programming
  • machine Learning

Furthermore, it is an advantage to have

  • image Processing
  • knowledge in deep neural networks
  • knowledge in Blockchain technology

Emphasis is also placed on your:

  • motivation and potential for research within the field
  • ability to work independently and in a team, be innovative and creative
  • ability to work structured and handle a heavy workload
  • having a good command of both oral and written English

We offer

  • varied duties in a large, exciting and socially important organisation
  • an ambitious work community which is developing rapidly. We strive to include employees at all levels in strategic decisions and promote an informal atmosphere with a flat organisational structure
  • salary in accordance with the State Salary Scale, l.pl 17.515, code 1017, NOK 479.600,- gross per year with salary development according to seniority in the position. The salary is according to Norwegian regulations, and is guarantied to fulfill the regulations of Marie Skłodowska-Curie Actions for "arly Stage Researchers. 
  • automatic membership in the Norwegian Public Service Pension Fund, which provides favourable insurance- and retirement benefits
  • favourable membership terms at a gym and at the SIS sports club at campus
  • employment with an Inclusive Workplace organisation which is committed to reducing sick leave, increasing the proportion of employees with reduced working capacity, and increasing the number of professionally active seniors
  • "Hjem-jobb-hjem" discounted public transport to and from work
  • as an employee in Norway, you will have access to an optimal health service, as well as good pensions, generous maternity/paternity leave, and a competitive salary. Nursery places are guaranteed and reasonably priced
  • relocation programme in event of moving to Norway, including support and language courses for spouses

Other information

See "Regulations concerning terms and conditions of employment for the posts of post-doctoral research fellow and research fellow, research assistant and resident" at the University of Stavanger.

The appointee will be based at the University of Stavanger, with the exception of stays abroad at relevant research centres. As the Innovative Training Network programme aims to promote cross-border mobility, a condition for eligibility to the scholarship is that the candidate must not have resided or carried out their main activity (work, studies, etc.) in Norway for more than 12 months of the 3 years immediately before the recruitment date. Short stays, such as holidays, are not taken into account. Furthermore, candidates must be in the first four years* of their research careers and cannot hold a doctoral degree.

* is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited.

In case of being interested in more than one CLARIFY ESR’s position, note that candidates can apply to a maximum of three CLARIFY’s positions and should rank them based on their preferences. This information must be included in the application.

It is a prerequisite that the appointee has a residence which enables him or her to be present at/available to the academic community during ordinary working hours.

The University currently employs few female research fellows within this academic field, and women are therefore particularly encouraged to apply.

The position has been announced in both Norwegian and English. In the case of differences of meaning between the texts, the English text takes precedence.

Contact information

More information on the position can be obtained from Professor Kjersti Engan, tel: +47 5183 2008, e-mail: kjersti.engan@uis.no

Information about the appointment procedure can be obtained from HR-adviser Janne Halseth, tel: +47 5183 3525, e-mail: janne.halseth@uis.no.


To apply for this position please follow the link "Apply for this job". Register your application and CV including relevant education and work experience. In your application letter you must show your research interests and motivation to apply for the position.

The following documents must be uploaded as attachments to your application in separate files:



  • certificates/diplomas 
  • references
  • list of publications 
  • other documentation that you consider relevant

The documentation must be available in either a Scandinavian language or in English. If the total size of the attachments exceeds 30 MB, they must be compressed before upload. Information and documentation to be taken into account in the assessment must be submitted within the application dealine. 

Please note that information on applicants may be published even if the applicant has requested not to be included in the official list of applicants - see Section 25 of the Freedom of Information Act.

UiS only considers applications and attachments registered in JobbNorge.


UiS - challenge the well-known and explore the unknown

The University of Stavanger (UiS) has about 12,000 students and 1,700 employees. We are the only Norwegian member of the European Consortium of Innovative Universities. The university has high ambitions. We will have an innovative and international profile, and will be a driving force in knowledge development and in the process of societal change. Together with our staff and students, we will challenge the well-known and explore the unknown.


Department of Electrical Engineering and Computer Science is part of the Faculty of Science and Technology.

The department carries out research within computer science, data Science, cybernetics and signal processing, and offers bachelor programs in electrica engineering and computer science, master programs in computer science, data science and cybernetics/signal processing, and a PhD program in information technology. There are currently 50 employees, including research fellows and postdocs, and 600 students at the department. 

More Information

Work location(s)
1 position(s) available at
University of Stavanger

EURAXESS offer ID: 472490


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