Postdoctoral Researcher in Computational Biology

Job summary

An opportunity exists for a Postdoctoral Researcher to join a cross-disciplinary team focused on microbial electrochemical cell-assisted anaerobic digestion (MEC-AD) to recover residual carbon as biomethane. The role involves converting multi-omics experimental data into predictive mechanistic models in collaboration with experimental biologists and engineers.

Qualifications

• PhD degree in systems biology, computational biology, bioinformatics, bioengineering, or a related field.
• Experience in genome-scale metabolic model reconstruction and constraint-based modeling, preferably with tools like COBRApy or COBRA Toolbox.
• Proficiency in Python for data analysis and model implementation.
• Knowledge of microbial physiology and anaerobic digestion ecology is advantageous.
• Familiarity with reproducible computational workflows and software engineering practices, including version control and workflow managers.
• Experience with high-performance computing or cloud infrastructure for data processing.
• Strong communication skills for presenting complex results to diverse audiences.
• A record of peer-reviewed publications demonstrating independent research.

Responsibilities

• Curate and reconstruct genome-scale metabolic models for microbial consortia.
• Integrate multi-omics data with thermodynamic flux-balance analysis (tFBA) pipelines.
• Apply flux-balance analysis to quantify energy-electron flows and identify metabolic bottlenecks.
• Develop modeling frameworks for community-level thermodynamic FBA.
• Collaborate with partners to translate model outputs into practical decision rules for anaerobic digestion.

Skills

• Strong analytical and computational skills.
• Ability to work independently and proactively in a large research consortium.

Education

• PhD in a relevant field.

Tools

• COBRApy, COBRA Toolbox, Python, high-performance computing, cloud infrastructure.