PhD in Bioinformatics and Machine Learning for Infection and Antimicrobial Resistance Diagnostics

Join a cutting-edge research team tackling antimicrobial resistance through bioinformatics and AI.

Best for:Best for candidates with a strong programming background and interest in bioinformatics and machine learning.

University of Inland Norway · Hamar, Norway · R1 · First-stage researcher

More professors at University of Inland Norway

BioinformaticsMachine LearningAntimicrobial ResistanceInfection Diagnostics

Deadline

Nov 5, 2026

22 days

Funding

Salaried

Position is paid and placed in position code 1017, PhD candidate in the Government Salary Scale (A paygrade of LT 54)

Start date

flexible

Full-time

Location

Hamar

Norway

Overview

The University of Inland Norway is seeking a PhD candidate to focus on bioinformatics and machine learning in the context of infection and antimicrobial resistance diagnostics. This three-year position is based in the Department of Biotechnology, where the candidate will engage in innovative research within a collaborative environment. The successful applicant will contribute to the BioAI project and other related initiatives, aiming to develop advanced diagnostic systems for bacterial infections. Candidates must be prepared to complete a PhD thesis and coursework during their tenure.

PhDBioinformaticsMachine LearningAntimicrobial ResistanceDiagnosticsBiotechnologyResearchAI

What you'll do

Develop and maintain a pipeline for pathogen identification using next-generation sequencing data.
Design and enhance the group's pathogen detection software, Voyager.
Contribute to the development of algorithms for sequence analysis and related computational challenges.
Collaborate with laboratory researchers and clinical partners to bridge computational and experimental approaches.
Engage in additional computational research tasks as needed within the group's research agenda.
Complete a PhD thesis and required coursework within the three-year fellowship.

Requirements

Degree required: Master's degree in bioinformatics, computational biology, machine learning, computer science, or a closely related field

Degree offered: PhD

Language: English; proficiency must be demonstrated through an approved test (TOEFL, IELTS, CAE, or CPE)

Instruction: English

Publications: Strong consideration will be given to candidates with documented scientific publications.

Required skills

Proficient programming skills in C++, Rust, or Java.
Strong command-line and scripting abilities.
Experience with algorithmically complex problems.
Familiarity with bioinformatics pipelines and sequencing data, especially long-read/ONT.

Nice to have

Knowledge of machine learning and AI techniques.Experience in infection biology and antimicrobial resistance.Ability to work in interdisciplinary teams with laboratory scientists.

Eligibility

Must qualify for admission to the University's PhD program in Applied Ecology and Biotechnology.
Applicants who have submitted their master's thesis for evaluation are eligible, but final documentation must be provided before employment.

Funding & terms

Type

Salaried

Amount

Position is paid and placed in position code 1017, PhD candidate in the Government Salary Scale (A paygrade of LT 54)

Duration

3 years

Programme

Hedmark Fylkeskraft

How to apply

Deadline: 2026-11-05

Applications must be submitted electronically and include a cover letter, CV, academic certificates, references, and a list of publications. Ensure all documents are uploaded as separate files.

Documents required