Friedrich Schiller University Jena
Jena, Germany

PhD Position in Machine Learning for Virus Data Integration, Friedrich Schiller University Jena, Germany

Job Type
PhD
Field
Computer Science
Location
Jena, Germany
Published
Oct 13, 2026
Deadline
November 9, 2026

Summary

The Friedrich Schiller University Jena invites applications for a Doctoral Researcher position in Machine Learning for Virus Data Integration, starting 1 January 2027. The role is part‑time (50% or 75%) and fixed‑term until 30 June 2030, funded by the DFG‑supported Collaborative Research Centre 1768. The candidate will develop multi‑modal representation and deep‑fusion models to integrate diverse virus data, collaborate within the VirusREvolution consortium, and contribute to publications and conferences. Applicants must hold a Master of Science (or equivalent) in computer science, bioinformatics, computational biology or a related field, possess strong programming and machine‑learning skills, and demonstrate excellent English. Remuneration follows the TV‑L salary scale E13, with 30 days vacation plus additional holidays and a family‑friendly environment.

Key Facts

EmployerFriedrich Schiller University Jena
DepartmentInstitute of Computer Sciences, Faculty of Mathematics and Computer Science
Position TypeDoctoral Researcher
DisciplineComputer Science
Research AreaMachine Learning for Virus Data Integration
Degree RequiredMaster of Science or equivalent degree
SalarySalary scale E13 (collective agreement)
FundingDFG-funded Collaborative Research Centre 1768
Contract DurationFixed-term until 30 June 2030
LanguageEnglish
Deadline2026-11-09
Employer AddressThuringia

About the Project

The project aims to design and train representation models and combine them into predictive deep‑fusion models for integrating heterogeneous virus data, including omics, microscopy, and Raman spectroscopy. By developing a common deep‑learning framework, the research will enable comprehensive analysis of virus characteristics, supporting discovery, characterization, and visualization within the DFG‑funded VirusREvolution centre.

Key Responsibilities

  • Research in multi‑modal representation learning and deep fusion models for data integration
  • Participate in the Collaborative Research Centre VirusREvolution and collaborate with project partners
  • Engage in regular discussions with group and project members
  • Collaborate with BSc and MSc students on associated projects
  • Publish papers and present work at national and international scientific meetings

Required Skills

  • Master of Science or equivalent degree in computer science, bioinformatics, computational biology or related field
  • Solid programming skills and experience with machine learning or deep learning
  • Knowledge in data integration across modalities and virus biology (desirable)
  • Strong analytical thinking and problem‑solving abilities
  • Ability to work independently and in a collaborative team
  • Excellent written and spoken English

Who Should Apply

Highly motivated candidates with a Master of Science or equivalent degree in computer science, bioinformatics, computational biology or a related discipline, solid programming and machine‑learning experience, and strong analytical and problem‑solving abilities. Applicants must be able to work independently and collaboratively, and possess excellent written and spoken English.

Benefits

  • Cross‑disciplinary, young research group within a large research consortium
  • Affiliation to an Integrated Research Training Group with comprehensive education program
  • Family‑friendly working environment with various family offers
  • University health promotion and wide range of sports activities
  • Remuneration based on TV‑L salary scale E13 with special annual payment
  • 30 days vacation per year plus two days off on 24 and 31 December
  • Preference given to candidates with severe disabilities in case of equal qualifications

About the Employer

Friedrich Schiller University Jena is a dynamic, innovation‑driven university in Germany with around 17,000 students and 10,000 employees. It emphasizes interdisciplinary research across its Light – Life – Liberty profile areas and collaborates closely with leading research institutions, companies, and cultural organisations. The Institute of Computer Sciences belongs to the Faculty of Mathematics and Computer Science and participates in the DFG‑funded Collaborative Research Centre 1768 “VirusREvolution”.

Frequently Asked Questions

What is the application deadline?

The deadline is 9 November 2026.

When does the position start?

The start date is 1 January 2027.

What employment percentages are offered?

The position is offered at 50% or 75% (20 or 30 hours per week).

What salary scale applies?

Remuneration follows the TV‑L salary scale E13.

Is English required?

Excellent written and spoken English skills are required.

This listing is summarised from the official advertisement. Always confirm the details, including the closing date, on the employer's own site before applying.