Postdoc in Harness, Swarm and Memory Engineering for Computational Biology

VIB; Oost-Vlaanderen; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Interdisciplinary environment

Access to validation data

State-of-the-art computing

Data from emerging technologies

Collaboration with LLM engineers

Competitive salary & full benefits

Résumé du poste

VIB in Belgium seeks a PhD-level computational biologist to lead cross-disciplinary computational biology tasks and to coordinate large-scale swarm-based solutions. You will collaborate closely with wet-lab teams and AI units to advance memory, harness and swarming technologies, and you will contribute to international conferences and publications.

The role emphasizes cutting-edge research, data integration, and training PhD students within a dynamic, interdisciplinary environment at VIB.

Qualifications

• PhD in computational biology, computer science, AI or related fields.
• Fluency in written and spoken English.
• Desire to push the frontier of biology and software engineering.

Responsabilités

• Oversee dozens of computational biology tasks across biological disciplines.
• Launch agent swarms solving these tasks and monitor their progress.
• Communicate with task experts to translate biological needs into new tasks.
• Identify and integrate validation data with wet-lab collaborators.
• Manage a large codebase containing harness, memory, tasks, swarm behaviour and data.
• Formulate and test hypotheses to improve harness, memory and swarming.
• Present research at international conferences and publish in journals.
• Contribute to supervision of PhD students.

Connaissances

English fluency

Broad biological interests

Formation

PhD in computational biology, CS/AI or related

Description du poste

About The Lab

The Laboratory of Causal Systems Immunology combines causal inference, probabilistic AI and large-scale in vivo perturbation experiments to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with direct biomedical relevance. We are embedded in both the VIB Center for AI & Computational Biology—a young, ambitious center whose research groups address biological questions through the lens of AI—and the VIB-UGent Center for Inflammation Research, where we collaborate closely with leading experimental immunologists to unravel the cellular and molecular mechanisms of inflammatory diseases.

About The Position

• You oversee dozens of computational biology tasks across biological disciplines
• You launch agent swarms solving these tasks and monitor their progress
• You communicate with task experts to understand ongoing and emerging biological needs and translate them into new tasks
• In collaboration with our wet-lab team and collaborators, you identify and integrate validation data
• In collaboration with the VIB.AI ML unit, you manage a large codebase containing the harness, interpretation, memory, tasks, swarm behaviour and source datasets
• You formulate and test hypotheses that may improve the harness, long-term memory and/or swarming behaviour
• You present your research at international conferences and publish in scientific journals
• You contribute to the supervision of PhD students working in these areas

Your profile

• Excited to bring biology into the agentic era
• Broad interest across biological domains is a must
• PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related.
• Desire to push the frontier of both biology and (agent-driven) software engineering
• Fluency in written and spoken English
• Embraces complexity

Our offer

• An interdisciplinary environment spanning wet-lab, technology-development and computational teams
• Access to unpublished validation data unavailable to existing agents
• State-of-the-art computing capable of running dozens of local large language models concurrently
• Data from emerging technologies through core facilities and tech watch
• Direct connection to a growing team of LLM engineers at VIB
• Part of a dynamic research center with other groups sharing this mission A competitive salary and full benefits