The University of Stavanger invites applicants for a Ph.D fellowship in the field of image processing and machine learning 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 ESR5, as announced on the CLARIFY’s website, with sub-project title: “Extracting diagnostic and prognostic information from histological images of non-muscle invasive bladder cancer (NMBC)”
The main tasks of ESR5 will be to define and develop algorithms using image processing and machine learning techniques, like deep neural networks, to characterize NMBC and extract features with diagnostic importance. This will further be used for both classification of grade, risk of recurrence and progression of the disease. It and will also be combined with a content based image retrieval (CBIR) system, finding similar cases with known follow-up information from established databases.
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 ESR5:
EMC (M11-M13): Interpretation of WSI and definition of clinical knowledge for urinary bladder cancer; BY (M21-M23): Blockchain Frameworks; UPV (M31-M33): Novel pattern identification.
We are looking for applicants with a strong academic background who have completed a five-year master degree (3+2) within ) within electrical engineering, biomedical 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 applicant is further required to have subjects like:
- signal- and/or image processing
- machine learning
Furthermore, it is an advantage to have:
- knowledge in deep neural networks
- biomedical image processing
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, 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 Early 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
How To Apply
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:
- 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.