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Research Fellow in Privacy - Preserving Clinical NLP leading research on AI privacy with NHS data. Developing methods to evaluate and mitigate privacy risks in transformer - based NLP systems.
About the role
- Chargé de recherche - Post-doctorant developing a bio-inspired decision support tool for zero carbon energy mix at UniLaSalle in Amiens.
Responsibilities
- Development of a conceptual framework: formalize the theoretical framework of territorial energy homeostasis, conduct a systematic literature review, and identify and operationalize relevant biological analogies for energy modeling
- Development of the METABOLIX prototype: implement the software architecture, develop bio-inspired optimization algorithms, integrate stakeholder negotiation mechanisms, and build a georeferenced visualization and decision-support interface
- Validation on the NOVAPARK case study: collect and process the business park's energy data, calibrate and validate the prototype on real data, produce zero-carbon trajectory scenarios, and run co‑creation sessions with park stakeholders
- Valorization and technology transfer: write a methodological guide to ensure tool replicability, publish at least two articles in peer‑reviewed international journals, and present the work at national and international conferences
- Contribute to the project's progress reports and institutional deliverables.
Requirements
- PhD obtained (or defended before starting the position) in energy engineering, complex systems, applied computer science, control engineering, or a related discipline
- Experience in modeling and simulation of dynamic systems
- Scientific publications in the research field (journal articles, conference papers)
- Experience modeling energy systems and/or flows in multi‑actor environments
- Scientific programming skills
- Optimization algorithms: metaheuristics, evolutionary algorithms, bio‑inspired methods
- Scientific writing in English
- Ability to work in partnership with industrial and institutional stakeholders
- Desirable but not mandatory: biomimetics and/or bio‑inspired algorithm design, GIS / digital mapping, knowledge of energy markets and/or industrial ecosystems, spoken French for interactions with industrial partners.
Benefits
- Cadre (managerial) status
- 210‑day annual work schedule
- 6 weeks of paid leave
- RTT: approximately 12 days per year
- 30 to 44 remote work days per year
- Ambitious staff training policy
- On‑site company catering with a 45% employer contribution
- Company savings plan (employee savings scheme)
- Supplementary pension scheme
- Health insurance fully paid by the employer
- Works Council (CSE) social activities
- Staff parking
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