Eduard Kerkhoven
6 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Postdoc in Agentic Systems Biology for Biomanufacturing at Chalmers University of Technology Chalmers University of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Temporary full-time postdoctoral employment for two years with the possibility of a one-year extension. Standard employee benefits at Chalmers are offered; no stipend amount is stated. The position requires physical presence throughout the employment.
Deadline
Expired
Country
Sweden
University
Chalmers University of Technology
Suggested positions
Keywords
About this position
Chalmers University of Technology is advertising a postdoc in Agentic Systems Biology for Biomanufacturing at the Division of Systems and Synthetic Biology, Department of Life Sciences, in Gothenburg, Sweden.
The project sits at the intersection of systems biology, computational biology, bioinformatics, machine learning, and computer science. The research aims to develop intelligent computational systems that combine constraint-based metabolic modeling, resource allocation modeling, omics data analysis, automated literature mining, and large language model (LLM) agents to support microbial cell factory design and biomanufacturing.
Research directions include extending mechanistic models of metabolism, building agentic pipelines for omics analysis, creating retrieval-augmented generation (RAG) systems over scientific literature and knowledge bases, and designing benchmarking frameworks for evaluating predictions and agent-generated hypotheses. The role also includes publishing methods and results, presenting at conferences, and supervising students to some extent.
Applicants must hold a doctoral degree in computational biology, bioinformatics, systems biology, computer science, or an equivalent field by the time of appointment. Required experience includes metabolic modeling tools such as COBRApy, COBRA Toolbox, or RAVEN; machine learning for biological/scientific data; strong Python software development; omics workflows; and excellent English communication skills. Helpful extras include experience with enzyme-constrained or proteome-constrained models, LLM APIs and frameworks, agentic systems, RAG, vector databases, knowledge graphs, multi-omics integration, and open-source research software.
The appointment is a temporary full-time postdoc for two years with a possible one-year extension. The position requires physical presence throughout the employment. Chalmers offers employee benefits and a dynamic research environment in Gothenburg.
Deadline: 16 May 2026. Applications must be submitted in English via the online application form as PDF files. A complete CV and a personal letter are required; incomplete applications and email submissions will not be considered.
Funding details
Temporary full-time postdoctoral employment for two years with the possibility of a one-year extension. Standard employee benefits at Chalmers are offered; no stipend amount is stated. The position requires physical presence throughout the employment.
What's required
A doctoral degree in computational biology, bioinformatics, systems biology, computer science, or an equivalent foreign degree is required and must be completed by the time the employment decision is made. Applicants should have demonstrated experience with constraint-based genome-scale modeling, resource allocation modeling, or other computational models of metabolism, including tools such as COBRApy, COBRA Toolbox, or RAVEN. Strong machine learning experience applied to biological or scientific data, strong Python programming skills beyond scripting, familiarity with omics data analysis workflows, and strong written and verbal English communication skills are required. The post also values the ability to work independently and collaboratively in an interdisciplinary environment. Preferred experience includes enzyme-constrained or proteome-constrained models, LLM APIs and frameworks, agentic LLM systems, RAG, vector databases, knowledge graphs, gene regulatory network inference, multi-omics integration, metabolic engineering, microbial physiology, industrial biotechnology, and open-source research software. A doctoral degree obtained within the last three years is highly meritorious.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Group Leader in Computational Metabolic Engineering
Sweden
Research Interests
Biochemistry
Biochemical Engineering
Metabolic Biology
Computational Biology
Metabolic Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.