Researcher position (SKO 1109) in Machine learning and systems Immunology Research

Job Description

A 2-year full-time  Researcher position (SKO 1109) in Machine Learning and Systems Immunology is available at the Department of Immunology, Institute of Clinical Medicine, The Faculty of Medicine, University of Oslo (UiO).

More about the position

The appointment is a fulltime position. The position is available from September 2024 with a flexible start between October 2024 and January 2025. The position will be located in Dr. Greiff's laboratory (Lab for Computational and Systems Immunology, greifflab.org).The position is externally funded.

The candidate will develop machine learning and computational sequence-based approaches to identify antigen-specific immune receptors from immune repertoire data.

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. Recent publications by Dr. Greiff may be found on google scholar. 

Qualification requirements

• Applicants must hold a PhD in bioinformatics, computational biology, statistics, computer science or a related field. Prior knowledge of biology or immunology is a requirement. 
• Experience in immune repertoire biology is an advantage.
• Experience in machine learning is an advantage.
• Experience in data analysis of biological sequence data is an advantage.

• Coding abilities in R/Python are an advantage.
• The candidate will work in a very ambitious interdisciplinary setting, which will require high flexibility, the ability to work under pressure, and the ability to work independently.
•  Fluent oral and written communication skills in English.

The Faculty of Medicine has a strategic ambition of being a leading research faculty. Candidates for these positions will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Tasks

• Analysis of high-throughput BCR sequencing data from mice immunized with antigen
• Development of novel computational approaches for immune repertoire comparisons
• Development of machine learning approaches for identification of antigen-specific sequences from immune repertoires

We offer

• An exciting research environment with opportunities for academic development.
• Pay Grade 59-65, from NOK 575 400 – to NOK 672 00, depending on qualifications 
• 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
• Favorable pension arrangements

How to apply

The application must include:

• Application letter describing the applicant’s qualifications and motivation for the position
•  CV (summarizing education, positions, and academic work - scientific publications)
•  A complete list of publications
•  Copies of educational certificates and transcripts of records
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee
• Contact details of 2–3 references (name, relation to candidate, e-mail and telephone number)
• Code examples (or e.g., link to github)

The application with attachments must be delivered in our electronic recruiting system, please follow the links “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, who are invited for an interview, are asked to provide educational certificates, diploma or transcript of records.

Formal regulations

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.

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 perspectivesIf 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.