Fully Funded PhD: AI-driven Climate Policy & Resilience

University of Navarra Finance Society

Donostia/San Sebastián

On-site

EUR 20,000 - 28,000

Full time

14 days+

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Job summary

TECNUN, the School of Engineering of the University of Navarra, invites applications for a fully funded PhD researcher to join the Resilience group in Donostia-San Sebastián. The project combines Generative Agent-Based Modelling with Simulation Optimization to study climate action policies and disaster resilience, with supervision by Prof. Josune Hernantes and Dr.

Sahar Elkady. The appointment is 3- to 4-year; strong background in computational modelling, Python, ML/LLMs preferred; teaching

Qualifications

  • MSc in Computer Science, Operations Research, Data Science, Industrial Engineering, Computational Social Science, or a closely related field.
  • Solid background in computational modelling, simulation, or optimization techniques.
  • Programming in Python, with experience in LLM frameworks, prompt engineering, or agent-based frameworks is a strong plus.
  • Familiarity with machine learning, Large Language Models (LLMs), or NLP.
  • Strong analytical problem-solving abilities and writing skills; ability to work in a multidisciplinary team.

Responsibilities

  • Conduct research leading to the doctoral thesis and disseminate findings through high-quality publications in international journals.
  • Lead and contribute to research projects related to the topic and assist in drafting research proposals and funding applications.
  • Participate in seminars, workshops, and department activities; contribute to teaching activities, including as a teaching assistant and proctoring exams.

Skills

Modelling & simulation
Python programming
ML & NLP

Education

MSc in Computer Science / OR / Data Science / Industrial Engineering / Computational Social Science

Job description

TECNUN, the School of Engineering of the University of Navarra, invites applications for a fully funded PhD researcher to join the Resilience group in Donostia-San Sebastián. The project combines Generative Agent-Based Modelling with Simulation Optimization to study climate action policies and disaster resilience, with supervision by Prof. Josune Hernantes and Dr.

Sahar Elkady. The appointment is 3- to 4-year; strong background in computational modelling, Python, ML/LLMs preferred; teaching

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