Applications are invited for a 3-year position in a Research Fellowship as PhD Candidate in systems immunology to be based at the Department of Immunology, Division of Laboratory Medicine, Institute of Clinical Medicine, University of Oslo.
The position is available from March 2025 with a flexible start between March and June 2025. The position will be located in the laboratory of Dr. Greiff (Lab for Computational and Systems Immunology, greifflab.org). The position is funded by the European Research Council.
More about the position
The research fellow must take part in the University’s approved PhD program and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The candidate will develop and employ a variety of computational biology techniques to perform sequence-based antibody design, developing and employing machine-learning tools for predicting antibody-epitope binding (e.g., novel applications using protein language models). Improving computational methods for antibody recognition is crucial for the development of personalized and precision medicine approaches such as next-generation infection, cancer, and autoimmune immunodiagnostics and immunotherapeutics. The candidate will be expected to closely collaborate with machine learning experts, statisticians, computational and experimental immunologists as well as clinicians.
The Greiff Lab focuses on the quantitative understanding of adaptive immune receptor (antibody and T-cell receptor) specificity using high-throughput experimental and computational immunology combined with machine learning. The long-term aim is to conceive in-silico novel immunodiagnostics and immunotherapeutics using the disease-diagnostic information and therapeutic potential that is directly encoded into adaptive immune receptors. The advent of high-throughput sequencing has enabled an unprecedented accumulation of big immune repertoire sequencing data. However, as of yet, we lack the computational methods that help us decode the immune grammar that translates immune sequencing data to immune state diagnosis and prediction of antigen binding. We believe that learning to read and write the immune repertoire language is key for the development of entirely novel, nature-inspired precision medicine immunodiagnostics and immunotherapeutics. Recent publications by Dr. Greiff may be found on google scholar.
The research fellow must take part in the University’s/ Faculty’s/ Department’s approved PhD program and is expected to complete the project within the set fellowship period. The main purpose of the fellowship is research training leading to the successful completion of a PhD degree.
The applicant must, in collaboration with her/his supervisor, within three months after employment, have worked out a complete project description to be attached to the application for admission to the doctoral program. For more information, please see our web site: Doctoral degree: PhD in medicine and health sciences – Faculty of Medicine.
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Qualifications
- Applicants must hold a Master’s degree or equivalent of a Master’s degree (120 ECTS) or an equivalent qualification in computational biology or bioinformatics or biotechnology, minimum grade B (ECTS grading scale) or equivalent.
- The Master’s degree must include a thesis of at least 30 ECTS.
- Knowledge of adaptive immunity is an advantage
- Experience in immune-receptor-specific protein language modeling is an advantage.
- Knowledge of handling deep mutational scanning data is an advantage.
- Fluent oral and written communication skills in English If the employee cannot document skills in Norwegian, Swedish, or Danish at level A2 upon employment, UiO will offer Norwegian language training.
- The employee must complete training equivalent to at least 15 credits by the end of the employment period.
Personal skills
The candidate will work in a very ambitious interdisciplinary setting which will require high flexibility, good communication and collaboration skills.
Jarli & Jordan/ UiO
We offer
- salary NOK NOK 540 500 – 594 500per 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 - Membership in the Statens Pensjonskasse, which is one of Norway’s best pension schemes with beneficial mortgages and good insurance schemes.
Read more about the benefits of working in the public sector at Employer Portal.
Inclusive worklife and diversity at UiO
Inclusion and diversity are a strength. The University of Oslo has a personnel policy objective of achieving a balanced gender composition. Furthermore, we want employees with diverse professional expertise, life experience and perspectives.
If there are qualified applicants with disabilities, employment gaps or immigrant background, we will invite at least one applicant from each of these categories to an interview.
We hope that you will apply for the position.
More information about gender equality initiatives at UiO can be found here.
Application
The application must include
- Cover letter statement of motivation and research interests
- CV (summarizing education, positions and academic work)
- Copies of educational certificates (academic transcripts only)
- A complete list of publications and academic works
- 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).
When evaluating the application, emphasis will be given to the applicant’s academic and personal prerequisites to carry out the project. Applicants may be called in for an interview.
When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.
General information
Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can’t, you will hear from us.
Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.
The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.
University of Oslo
The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.
The Institute of Clinical Medicine (Klinmed) is one of three institutes under the Faculty. Klinmed is responsible for the Faculty’s educational and research activities at Oslo University Hospital and Akershus University Hospital. With about 900 employees spread over approximately 425 man-labour years, Klinmed is the university’s largest institute. Our activities follow the clinical activity at the hospitals and are spread across a number of geographical areas.
Questions about the position
Victor Greiff
Associate Professor
victor.greiff@medisin.uio.no
Mija Nikolaisen (questions regarding the online application form),
Senior adviser HR (for
mija.nikolaisen@medisin.uio.no