PhD position – Probabilistic Metabolic Flux Analysis within the HDS-LEE graduate school Full-time

PhD Project In Bayesian Inference For Metabolic Modeling

This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will:

• Design hierarchical models that explicitly capture misspecifications in metabolic models
• Develop differentiable and scalable inference algorithms using automatic differentiation
• Implement HPC-tailored sampling strategies in Python and C++
• Apply your framework to analyse real biological datasets to demonstrate robustness, interpretability, and practical impact
• Contribute to open-source software tools, helping to shape future research infrastructure
• Present your results on conferences in Germany and abroad

Your Profile:

• Excellent Master's degree in statistics, physics, mathematics, or a related quantitative field, ideally with a strong focus on computational practice
• Strong mathematical and statistical background, with pronounced analytical and problem-solving skills
• Proven programming expertise in Python and C++, with solid experience in scientific computing and software development; familiarity with Linux environments
• Excellent collaboration and communication skills and enjoyment of working in an international, interdisciplinary research team
• Familiarity with Bayesian thinking is desirable
• No prior biological experience is required; curiosity for life science questions and willingness to collaborate with experimentalists is sufficient
• Prior research experience (e.g. internships, thesis projects, open-source contributions, or publications) is highly desirable
• Knowledge of German is beneficial

Our Offer:

• Outstanding scientific and technical infrastructures
• Working in an international and interdisciplinary environment at one of Europe's largest research institutes
• Continuous scientific mentoring by your scientific advisors and opportunity to mentor students
• Unique HDS-LEE graduate school program (including data science courses, soft skill courses and annual retreats)
• A qualification that is highly valued in industry
• 30 days of annual leave and flexible working arrangements, including partial remote work.
• Further development of your personal strengths, e.g. via a comprehensive training program; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors
• Targeted services for international employees, e.g. through our International Advisory Service

The position is limited to three years, with a possible one-year extension. Pay is in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment (“Christmas bonus”). The monthly salaries in euro can be found on the BMI website. We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.