PhD: Bioinformatics & ML for Rapid AMR Diagnostics

University of Inland Norway; Hamar; On-site; NOK 430,000 - 530,000; Full time

Job summary

University of Inland Norway invites applications for a PhD position in Bioinformatics and Machine Learning focused on infection and antimicrobial resistance diagnostics. The PhD runs for three years and is based at the Department of Biotechnology in Hamar, with enrollment in INN’s PhD program and required work from the designated workplace in Hamar.

The selected candidate will work under Professor Rafi Ahmad in a vibrant scientific environment, contributing to ML, biostatistics, and

Qualifications

• Strong hands-on programming experience in C++, Rust, and Java.
• Strong command-line/bash proficiency and general scripting skills.

Responsibilities

• Maintain and further develop a pipeline for pathogen identification from next-generation sequencing data, including ONT sequencing data.
• Design and implement a new version of the group's pathogen detection software, Voyager.
• Contribute to algorithm development for sequence analysis and related computational problems.
• Collaborate closely with laboratory-based researchers and clinical partners, translating between computational and experimental perspectives.
• Take on additional computational research tasks as they arise within the group's broader research program.
• Complete a PhD thesis and associated coursework within the 3‑year fellowship period.

Skills

C++

Rust

Java

Bash

Scripting

Education

Master's degree in bioinformatics or related

Job description

University of Inland Norway invites applications for a PhD position in Bioinformatics and Machine Learning focused on infection and antimicrobial resistance diagnostics. The PhD runs for three years and is based at the Department of Biotechnology in Hamar, with enrollment in INN’s PhD program and required work from the designated workplace in Hamar.

The selected candidate will work under Professor Rafi Ahmad in a vibrant scientific environment, contributing to ML, biostatistics, and