Researcher in machine learning linked to cheminformatics

University of Bergen
March 12, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Full time
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The Department of Biomedicine

Researcher in machine learning linked to cheminformatics UiB - Knowledge that shapes society

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At the Faculty of Medicine, Department of Biomedicine, a full-time temporary position for 17 months as researcher is available. The position is external financed by the Research Council of Norway and part of the project "RESPONsible early Digital Drug Discovery – RESPOND3: Towards better computational approaches and responsible innovation strategies in early drug discovery: application to antibiotics and COPD”.

About the project/work tasks:

The RESPOND3project is part of the Centre for Digital Live Norway (https: // and is a cross disciplinary collaboration between research groups at the Centre for Advanced studies in Biomedical Innovation Law at the University of Copenhagen, the Computational Biology Unit (CBU) and the Department of Chemistry at the Faculty of Mathematics and Natural Sciences at the University of Bergen and the Department of Biomedicine at the Faculty of Medicine at the University of Bergen. The main focus of RESPOND3 will be hit and lead optimization for targets for antibiotics (FMN riboswitch) and chronic obstructive pulmonary disease (proteinase 3) guided by the use of computational methods (https: // www. To enable these activities, we also develop new scoring functions using machine learning. The entire project is embedded in a responsible research and innovation strategy.

The main objective for the advertised position is to use machine learning for the development of a new scoring function for predicting protein-ligand interactions. This will be done in close collaboration with a PhD student. The PhD student has a background in cheminformatics and structure-based design. We are now looking for a researcher with complementary experience in machine learning to join this project. The researcher will be jointly supervised by Prof. Ruth Brenk, Department of Biomedicine/CBU, and Prof. Tom Michoel, Department of Informatics /CBU.

Qualifications and personal qualities:
  • The applicant must hold a relevant Norwegian PhD or equivalent doctoral degree
  • The successful applicant must have experience in machine learning/deep learning
  • Experience in machine learning related to applications in cheminformatics or structural biology is an advantage
  • Experience with a programming language is required
  • Experience with a deep learning library (PyTorch, TensorFlow) is an advantage
  • Experience from related research projects will be considered favourable
  • A structured approach to work and excellent communication skills and fluency in both written and spoken English are required
  • The candidate must demonstrate a strong commitment and motivation for the development of new scoring functions as part of a multidisciplinary team and for research in general
  • The candidate must be able to work independently and interactively in a team setting, be motivated and responsible, and also have a great work capacity and enthusiasm for research
  • Personal skills will be emphasized.
  • We can offer:
  • A challenging and cross-disciplinary work environment at the research front of machine learning linked to cheminformatics/structural biology
  • Salary NOK 593 500 (code 1109, pay grade 64), specialist NOK 615 000 (code 1109, pay grade 66) gross p.a. for a fulltime position. In the case of a highly qualified applicant, a higher salary may be considered.
  • Enrolment in the Norwegian Public Service Pension Fund
  • Good welfare benefits
  • Your application must include:
  • A brief letter of application stating your motivation for the position, why you are applying and why this position is perfect for you
  • An overview of your education and work experience (CV)
  • Witnessed copies of diplomas and relevant certificates (applicants with education from other countries than Norway must enclose diplomas in both the original language and authorized translations)
  • Publications and academic work (max 10 in PDF) and a list of these
  • Your PhD thesis (in PDF)
  • Two references (name and contact information)
  • It is very important that each of the scholarly works on which the committee should place special emphasis, is attached in its entirety

    The following premise forms the basis for the post as research scientist:
  • The researcher will be a member of the research group of which the topic/project belongs to
  • The salary shall if possible be 100 % covered by external financing
  • The researcher shall actively contribute to attract external funding to the research project, both for her/his own position and other positions, from the Research Council of Norway, EU and other sources
  • The researcher is expected to have her/his research activity financed by the project of the researcher and the projects of the associated research group
  • The Head of Department may allocate work for the Researcher related to specific research projects
  • The researcher may participate in committee work and other administrative tasks within the University of Bergen
  • The researcher has no teaching duties, but is expected to supervise master students and PhD candidates when this is a natural part of the research activity of the research group
  • The researcher may apply for competence promotion according to the regulations for promotions
  • The basis for the position ceases if no further project funding and new law on state officials etc. on dismissal and preferential rights will be applied to permanent employees
  • General information:

    Further information about the position can be obtained from: Prof. Dr. Ruth Brenk, [email protected]

    UiB must follow Norway's export control regulations when processing applications for this position.

    The state workforce shall reflect the diversity of Norwegian society to the greatest extent possible. People with immigrant backgrounds and people with disabilities are encouraged to apply for the position.

    The University of Bergen applies the principle of public access to information when recruiting staff for academic positions.

    For further information about the recruitment process, click here.

    About The University of Bergen

    The University of Bergen is a renowned educational and research institution, organised into seven faculties and approximately 54 institutes and academic centres. Campus is located in the centre of Bergen with university areas at Nygårdshøyden, Haukeland, Marineholmen, Møllendalsveien and Årstad.

    There are five departments and seven centres at Faculty of Medicine.

    Read More about the faculty and departments.


    12th March 2023


    University of Bergen




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