Position as Researcher available at the Centre for Bioinformatics at Department of Informatics, University of Oslo.
The appointment is a fulltime position and is for a period of three (3) years. Starting date is between January 1st and March 1st 2023.
Project description
The position is affiliated to the Sandvelab (sandvelab.org) at the Centre for Bio-informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, which is led by professor Geir Kjetil Sandve, who will be main supervisor. The group currently consists of four postdocs and three PhD students. The position is part of the recently funded large-scale interdisciplinary researcher project “AB-AG-DESIGN: Rule-guided antibody and antigen design”, led by Victor Greiff at Department of Immunology, where also Fridtjof Lund-Johansen (De-partment of Immunology) is a principal investigator, and which includes collabo-rators at OncoImmunity (Oslo), Johannes Kepler University (Austria) and University of Innsbruck (Austria).
The aim of the position is to expand interoperability and reproducibility of ma-chine learning methodologies for predicting antibody-antigen binding, as well as profiling the performance of antibody-antigen binding prediction methods through development of improved approaches for generation of antibody-antigen binding datasets and through systematic benchmarking of prediction methods proposed in the field. Concretely, the successful candidate is expected to contribute to improving and extending the recently published open-source machine learning platform immuneML (doi.org/10.1038/s42256-021-00413-z), which is a leading platform for interoperability and reproducibility in the field. A major focus is on the development of improved data simulation functionality that can be integrated with or interoperate with the immuneML platform, and on the use of the platform for unified execution and systematic benchmarking of previously published or newly developed machine learning methods in the anti-body-antigen binding prediction field.
Qualification requirements
The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this ambition, and the successful candidate is expected to be in the upper segment of her/his class with respect to academic credentials.
Qualification requirements:
- Applicants must hold a degree equivalent to a Norwegian doctoral degree in Computer Science, Statistics, Bioinformatics or a related field. Doctoral dis-sertation must be submitted for evaluation by the closing date. Only applicants with an approved doctoral thesis and public defence are eligible for appointment.
- Documented research experience within adaptive immunity, ideally with adaptive immune receptor data
- Documented experience with development or use of machine learning meth-odology
- Documented experience with data simulation in the biomedical field
- Fluent oral and written communication skills in English
Personal skills
- Ability to lead and conduct research in a collaborative environment
- Ability to give and receive constructive scientific criticism
- Resourceful, structured, and result-oriented
We offer
- Salary NOK 553 500 – 714 000 per year depending on qualifications in position as Researcher (position code 1109)
- Attractive welfare benefits and a generous pension agreement
- Professionally stimulating working environment
- Vibrant international academic environment
- Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
How to apply
The application must include:
- Cover letter (statement of motivation, summarizing scientific work and research interest)
- CV (summarizing education, positions, pedagogical experience, administrative experience and other qualifying activity)
- Copies of educational certificates, academic transcripts of record and letters of recommendations
- a complete list of publications and up to 5 academic works that the applicant wishes to be considered by the evaluation committe
- Names and contact details of 2 – 3 references (name, relation to candidate, e-mail and telephone 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).
In assessing the applications, special emphasis will be placed on the document-ed, academic qualifications, the statement of motivation and the candidate’s personal suitability. Interviews with the best qualified candidates will be ar-ranged.
It is expected that the successful candidate will be able to complete the project in the course of the period of employment.
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 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.
Contact information
For further information please contact Professor Geir Kjetil Sandve, e-mail: geirksa@ifi.uio.no
For technical questions regarding the recruitment system, please contact HR Adviser Therese Ringvold, e-mail: therese.ringvold@mn.uio.no
About the University of Oslo
The University of Oslo is Norway’s oldest and highest rated institution of research and education with 28 000 students and 7000 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society.
The Department of Informatics (IFI) is one of nine departments belonging to the Faculty of Mathematics and Natural Sciences. IFI is Norway’s largest university department for general education and research in Computer Science and related topics.
The Department has more than 1800 students on bachelor level, 600 master students, and over 240 PhDs and postdocs. The overall staff of the Department is close to 370 employees, about 280 of these in full time positions. The full time tenured academic staff is 75, mostly Full/Associate Professors.