Publisher
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University of Oslo

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PhD Research Fellow in Computational Medicinal Chemistry for Addiction Research University of Oslo in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

PhD Research Fellow fellowship for three years, with a possible fourth year including 25% other career-promoting work. Salary is NOK 550,800–595,000 depending on competence and experience. The position is research training leading to a PhD degree.

Deadline

Nov 9, 2026

Country flag

Country

Norway

University

University of Oslo

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Keywords

Computer Science
Chemistry
Biology
Molecular Dynamics
Neuropsychology
Medical Science
Pharmacy
Molecular Docking
Neuropharmacology
Bioinformatic

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About this position

PhD Research Fellow position in computational medicinal chemistry / computational structural biology at the Department of Pharmacy, Faculty of Mathematics and Natural Sciences, University of Oslo, within the interdisciplinary project DECODING ADDICTION – Unraveling Individual Variability to guide Prevention.

The project focuses on the mu-opioid receptor (OPRM1/μOR), a naturally occurring mutation R181C, addiction susceptibility, molecular modeling, molecular dynamics, molecular docking, free energy calculations, and receptor-G protein coupling. The work combines computational chemistry, neuroscience, molecular biology, and psychology, with GPU computing on the LUMI supercomputer.

Supervision is by Osman Gani (Associate Professor), with co-supervisors Trond Vidar Hansen (Professor) and Deo Pandey (Dr.). The position includes possible secondments to industry partners for training in biophysical analyses and medicinal chemistry techniques.

Eligibility highlights: a Master’s degree in pharmacy, computational chemistry, medicinal chemistry, bioinformatics, or a closely related field; strong background in molecular modeling / MD / computer-aided drug design; programming evidence via public repositories; experience in a cell biology lab; and fluent English. Desired experience includes Glide/AutoDock, AMBER/NAMD/GROMACS, HPC or GPU simulations, GPCR biology, and neuropharmacology.

Funding: three-year PhD fellowship, with a possible fourth year including 25% career-promoting work. Salary is NOK 550,800–595,000 depending on competence and experience.

Location: Department of Pharmacy, new Life Science Building, Oslo, Norway. Deadline: 2026-11-09.

Apply via Jobbnorge and upload the required documents, including motivation letter, CV, diplomas/transcripts, English documentation, publication list, and references.

Funding details

PhD Research Fellow fellowship for three years, with a possible fourth year including 25% other career-promoting work. Salary is NOK 550,800–595,000 depending on competence and experience. The position is research training leading to a PhD degree.

What's required

Master’s degree in pharmacy, computational chemistry, medicinal chemistry, bioinformatics, or a closely related field; foreign completed degree corresponding to at least four years in the Norwegian system; strong background in molecular modeling, molecular dynamics simulations, or computer-aided drug design; proven programming experience shown through publicly available GitHub/GitLab or similar repositories; experience in a cell biology lab; fluent oral and written English. Desired qualifications include experience with molecular docking tools such as Glide or AutoDock, molecular dynamics packages such as AMBER, NAMD, or GROMACS, familiarity with high-performance computing or GPU-accelerated simulations, interest in GPCR biology and neuropharmacology, interdisciplinary collaboration skills, and ability to teach in a Scandinavian language. Applicants from outside the EU/EEA must meet the stated English requirements.

How to apply

Apply through the Jobbnorge recruitment system using the job advertisement page. Submit a cover letter, CV, diplomas and transcripts for bachelor’s and master’s degrees, documentation of English language requirements, publication list, and names/contact details of 2–3 references. Foreign applicants should include an official explanation of their university grading system.

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