PhD: AI Modeling Protein Bioavailability in Microbial Foods

BRIGHT; Kongens Lyngby; On-site; DKK 360,000 - 480,000; Full time

Job summary

BRIGHT at DTU invites applications for a PhD scholarship in computational modelling of protein and nutrient bioavailability of microbial foods. You will develop a multi-modal AI/ML system integrating protein language embeddings with proteomics and metabolomics data to predict digestibility and nutrient bioavailability.

The role is fully computational, involving collaboration with in vitro and clinical partners and supervision of MSc/BSc students.

Qualifications

• MSc in bioinformatics, computational biology, ML, CS, food science or related area.
• Advanced programming experience in Python.
• Experience with machine learning, incl. PyTorch or similar frameworks.
• Excellent English proficiency in written and oral form.

Responsibilities

• Review state-of-the-art protein bioavailability in microbial foods.
• Build a multi-modal AI/ML model predicting digestibility and bioavailability.
• Create and curate a database of microbial foods (e.g., Yarrowia lipolytica, Aspergillus spp.).
• Model proteolytic digestion and absorption of peptides and amino acids.
• Test and refine models with proteomics and metabolomics data.
• Retrain models with in vitro and clinical data from partners.
• Collaborate within BRIGHT and international networks.

Skills

Python

ML frameworks

English proficiency

Analytical skills

Independent work

Education

MSc in bioinformatics / computational biology / ML / CS / food science

Two-year Master’s degree (120 ECTS) or equivalent

Tools

Python

PyTorch

Job description

BRIGHT at DTU invites applications for a PhD scholarship in computational modelling of protein and nutrient bioavailability of microbial foods. You will develop a multi-modal AI/ML system integrating protein language embeddings with proteomics and metabolomics data to predict digestibility and nutrient bioavailability.

The role is fully computational, involving collaboration with in vitro and clinical partners and supervision of MSc/BSc students.