Inland Norway University of Applied Sciences
2 months ago
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PhD position in Diagnostics of Infection and Antimicrobial Resistance University of Inland Norway in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Paid PhD position for three years, placed in position code 1017 in the Government Salary Scale at paygrade LT 54. Includes life insurance, occupational injury insurance, pension contributions to Statens pensjonskasse, and access to Norway's public health system. No tuition details stated.
Deadline
Expired
Country
Norway
University
Inland Norway University of Applied Sciences
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About this position
PhD position in Diagnostics of Infection and Antimicrobial Resistance at the University of Inland Norway, Department of Biotechnology, Faculty of Applied Ecology, Agricultural Sciences and Biotechnology (ALB).
The project sits at the intersection of biotechnology, microbiology, infection diagnostics, antimicrobial resistance (AMR), metagenomics, bioinformatics, machine learning, and clinical sample analysis. The successful candidate will join the group of Professor Rafi Ahmad and work within the UTI-Diag and OH-AMR-Diag projects funded by the Research Council of Norway.
The research aims to develop a proof-of-concept decision-making diagnostic system for rapid, accurate, on-site detection of infections, pathogen identification, resistance profiling, and prediction of antibiotic susceptibility. Planned work includes optimizing a culture-independent sample preparation method for body fluids, performing metagenomic and potentially photonics analyses on clinical samples, and correlating generated data for a clinical proof-of-concept study.
The position is a three-year PhD and the candidate must work from the designated workplace in Hamar, Norway. The role is embedded in a multidisciplinary environment with expertise in genomics, molecular biology, clinical microbiology, microscopy, spectroscopy, machine learning, biostatistics, and bioinformatics, and includes collaboration with Norwegian and Indian partners as well as WHO-related collaborators.
Eligibility highlights: applicants must qualify for admission to the PhD programme in Applied Ecology and Biotechnology, normally hold a relevant master's degree (or equivalent), and have a strong academic record. Required experience includes nucleic acid extraction or host cell/DNA depletion, Oxford Nanopore/MinION sequencing, full sequencing workflows, clinical sample handling, and large-scale biological data analysis. English proficiency is required; approved tests include TOEFL, IELTS, CAE, or CPE for non-English-speaking applicants.
Funding: paid PhD position with salary in the Norwegian government scale (position code 1017, LT 54), plus insurance and pension benefits. No tuition fee information is stated.
Application deadline: 9 August 2026. Apply electronically with a cover letter, CV, transcripts/certificates, at least two references, and a publication list.
Funding details
Paid PhD position for three years, placed in position code 1017 in the Government Salary Scale at paygrade LT 54. Includes life insurance, occupational injury insurance, pension contributions to Statens pensjonskasse, and access to Norway's public health system. No tuition details stated.
What's required
Applicants must qualify for admission to the PhD programme in Applied Ecology and Biotechnology and normally hold a master's degree or equivalent in biotechnology, molecular biology, microbiology, biochemistry, or another relevant scientific discipline. A strong academic background is required, normally an average grade of B or better from the master's degree. Applicants who already hold a PhD are not eligible. Those who have submitted their master's thesis before the deadline may apply, but final documentation must be provided before employment. Required experience includes methods development such as nucleic acid extraction or host cell/DNA depletion, Oxford Nanopore sequencing with MinION flow cells, the full sequencing workflow from sample preparation to bioinformatics analysis, handling clinical samples, and analysis of large-scale biological datasets including whole-genome and metagenomic sequencing. Fluency in Python and R is desired, as is experience with AMR and infection biology. English proficiency is required; non-English-speaking applicants must document competence through an approved test such as TOEFL, IELTS, CAE, or CPE.
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