PhD Fellowship in Machine Learning at University of Stavanger Norway

Fellowship 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 

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


  • 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, 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

Deadline: 15th February 2020

Official Link

Author: Kashif

This is Dr. Kashif. I Completed my Ph.D. in Computer Science from Stanford University. Now I am teaching as Assistant Professor. At this platform, I am posting the Scholarships, fellowships, Internships, Summer Programs, exchange programs, conferences, Entrepreneurial Events, Innovative Events, information from World Class Universities. if you have any question you can contact without any hesitation.

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