Tecnun - Escuela de Ingeniería-Universidad de Navarra
Tecnun-Escuela de Ingeniería, perteneciente a la Universidad de Navarra, se propone contribuir a la formación profesional, científica y humana de los futuros ingenieros. Desde su creación, en la primavera de 1961, mantiene un equilibrio entre la docencia, la investigación y el servicio a la sociedad, haciendo que estas actividades se complementen entre sí.
Actualmente dispone de dos campus: la sede más antigua, ubicada en el campus universitario del Bº de Ibaeta, está integrada por los edificios de laboratorios, el edificio docente y de representación concluido en 1989, y un edificio multiuso, levantado en 1996. La otra sede se encuentra en el Parque Tecnológico de Miramón e integra las aulas y laboratorios de investigación de las áreas de Electricidad, Electrónica y Comunicaciones.
Descripción de la oferta
Fully Funded PhD Opportunity at TECNUN, the School of Engineering of the University of Navarra, Spain
We are seeking a highly motivated PhD Researcher to join our team for a 3- to 4-year fully funded PhD opportunity. The successful candidate will work at the intersection of Artificial Intelligence, Operations Research, and Policy Modelling to build advanced decision-support tools for climate action and disaster resilience.
The candidate will be part of the Resilience research group at TECNUN, which focuses on understanding and strengthening the resilience of communities, cities, and organizations in the face of disruptions and crises. The group combines engineering, data-driven approaches, and decision-support methodologies, with research spanning areas such as urban resilience, crisis management, infrastructure, and emerging technologies such as AI and LLMs.
The PhD candidate will join this research environment under the supervision of Professor Josune Hernantes and Dr.
Sahar
Elkady.
About The Project
This PhD project focuses on developing a novel decision-support framework that combines Generative Agent-Based Modelling (GABM) with Simulation Optimization. The primary goal is to simulate how diverse societal stakeholders (e.g., citizens, businesses, and public authorities) interact, perceive, and respond to climate-related policies. By integrating LLM-driven generative agents into an optimization loop, the project aims to help decision-makers design robust policies that balance environmental targets with public acceptance and social legitimacy.
Main Duties And Responsibilities The PhD candidate will conduct research leading to the development of their doctoral thesis, with the aim of disseminating their findings through high-quality publications in highly ranked, internationally recognized journals. The candidate will be expected to take an active role in the development and execution of research projects related to their research topic, as well as contribute to the preparation and submission of research proposals and funding applications.
The candidate should also be willing to actively participate in seminars, workshops, meetings, and other activities organized by the Department and the research group. As part of the responsibilities established in the PhD student agreement, the candidate will be expected to contribute to teaching activities, including serving as a teaching assistant in selected courses and proctoring examinations. These responsibilities are intended to provide the candidate with broader academic and professional development alongside their research activities.
Requisitos
Provisions relating to positions as PhD Research Fellows can be found in the Applied Engineering program web page.
- Education: MSc degree in Computer Science, Operations Research, Data Science, Industrial Engineering, Computational Social Science, or a closely related field.
- Technical Skills:
- Solid background in computational modelling, simulation, or optimization techniques.
- Programming proficiency in Python (experience with LLM frameworks, prompt engineering, or agent-based frameworks is a strong plus).
- Familiarity with machine learning, Large Language Models (LLMs), or natural language processing.
- Soft Skills: Strong analytical problem-solving abilities, excellent writing skills for scientific publications, and the ability to work independently within a multidisciplinary team.
We recognize that candidates may have different academic and professional backgrounds. If you do not meet all of the requirements but believe that your skills, experience, and motivation make you a strong potential candidate, we still encourage you to apply. We look forward to hearing from you.
Application
Applicants Should Submit a Dossier Including:
- Detailed Curriculum Vitae including all the relevant projects/publications.
- Certificates and transcripts of the bachelor's and master's degrees. Applicants with foreign higher education must attach an official description of the grading system used at the issuing institution.
- One-page summary of MSc’s thesis
- The names and contact details of two references.
- A one-page document answering the following questions (Please describe any relevant academic, research, or practical experience, including optimization, mathematical modelling, simulation, or related methods):
- What is your experience with ABM?
- What is your experience with LLM and Software Engineering?
- What is your experience with Operations Research?
For further information or queries, please contact Sahar Elkady at
[email protected]. About The University The University of Navarra is an international University committed to quality teaching and excellence in research. It occupies the 3rd position in the Europe Teaching Ranking 2019 by Times Higher Education and Elsevier. The University was founded on the basis of Catholic principles by St.
Josemaría
Escrivá and is a corporate work of Opus Dei. It supports the professional development of its faculty and staff, promotes cultural engagement and social outreach through collaboration with NGOs and charitable organizations, and encourages service-learning initiatives. Employment opportunities are offered fairly, with all qualified candidates considered equally.
The School of Engineering (TECNUN) is home to approximately 1,200 students and is located in Donostia-San Sebastián, a vibrant and picturesque city on Spain’s northern Basque coast. As an academic institution, TECNUN conducts fundamental research across a broad range of engineering disciplines while also fostering strong links between academic research and real-world applications. In this context, TECNUN collaborates closely with CEIT, a non-profit applied research Centre founded by the University of Navarra in 1982.
This partnership facilitates the transfer of scientific knowledge into innovative technological solutions and strengthens the connection between fundamental research, applied research, and industrial needs.
For further information about the School of Engineering, the University of Navarra, and the city of Donostia-San Sebastián, please visit the following websites: University of Navarra (UNAV), TECNUN – School of Engineering, and Donostia-San Sebastián.
Tecnun - Escuela de Ingeniería-Universidad de Navarra
Tecnun-Escuela de Ingeniería, perteneciente a la Universidad de Navarra, se propone contribuir a la formación competente, científica y humana de los futuros ingenieros. Desde su creación, en la primavera de 1961, mantiene un equilibrio entre la docencia, la investigación y el servicio a la sociedad, haciendo que estas actividades se complementen entre sí.
Actualmente dispone de dos campus: la sede más antigua, ubicada en el campus universitario del Bº de Ibaeta, está integrada por los edificios de laboratorios, el edificio docente y de representación concluido en 1989, y un edificio multiuso, levantado en 1996. La otra sede se encuentra en el Parque Tecnológico de Miramón e integra las aulas y laboratorios de investigación de las áreas de Electricidad, Electrónica y Comunicaciones.
Tecnun - Escuela de Ingeniería-Universidad de Navarra
Tecnun-Escuela de Ingeniería, perteneciente a la Universidad de Navarra, se propone contribuir a la formación profesional, científica y humana de los futuros ingenieros. Desde su creación, en la primavera de 1961, mantiene un equilibrio entre la docencia, la investigación y el servicio a la sociedad, haciendo que estas actividades se complementen entre sí.
Actualmente dispone de dos campus: la sede más antigua, ubicada en el campus universitario del Bº de Ibaeta, está integrada por los edificios de laboratorios, el edificio docente y de representación concluido en 1989, y un edificio multiuso, levantado en 1996. La otra sede se encuentra en el Parque Tecnológico de Miramón e integra las aulas y laboratorios de investigación de las áreas de Electricidad, Electrónica y Comunicaciones.
Descripción de la oferta
Fully Funded PhD Opportunity at TECNUN, the School of Engineering of the University of Navarra, Spain
We are seeking a highly motivated PhD Researcher to join our team for a 3- to 4-year fully funded PhD opportunity. The successful candidate will work at the intersection of Artificial Intelligence, Operations Research, and Policy Modelling to build advanced decision-support tools for climate action and disaster resilience.
The candidate will be part of the Resilience research group at TECNUN, which focuses on understanding and strengthening the resilience of communities, cities, and organizations in the face of disruptions and crises. The group combines engineering, data-driven approaches, and decision-support methodologies, with research spanning areas such as urban resilience, crisis management, infrastructure, and emerging technologies such as AI and LLMs.
The PhD candidate will join this research environment under the supervision of Professor Josune Hernantes and Dr.
Sahar
Elkady.
Main Duties And Responsibilities The PhD candidate will conduct research leading to the development of their doctoral thesis, with the aim of disseminating their findings through high-quality publications in highly ranked, internationally recognized journals. The candidate will be expected to take an active role in the development and execution of research projects related to their research topic, as well as contribute to the preparation and submission of research proposals and funding applications.
The candidate should also be willing to actively participate in seminars, workshops, meetings, and other activities organized by the Department and the research group. As part of the responsibilities established in the PhD student agreement, the candidate will be expected to contribute to teaching activities, including serving as a teaching assistant in selected courses and proctoring examinations. These responsibilities are intended to provide the candidate with broader academic and professional development alongside their research activities.
Descripción de la oferta
Fully Funded PhD Opportunity at TECNUN, the School of Engineering of the University of Navarra, Spain
We are seeking a highly motivated PhD Researcher to join our team for a 3- to 4-year fully funded PhD opportunity. The successful candidate will work at the intersection of Artificial Intelligence, Operations Research, and Policy Modelling to build advanced decision-support tools for climate action and disaster resilience.
The candidate will be part of the Resilience research group at TECNUN, which focuses on understanding and strengthening the resilience of communities, cities, and organizations in the face of disruptions and crises. The group combines engineering, data-driven approaches, and decision-support methodologies, with research spanning areas such as urban resilience, crisis management, infrastructure, and emerging technologies such as AI and LLMs.
The PhD candidate will join this research environment under the supervision of Professor Josune Hernantes and Dr.
Sahar
Elkady.
Main Duties And Responsibilities The PhD candidate will conduct research leading to the development of their doctoral thesis, with the aim of disseminating their findings through high-quality publications in highly ranked, internationally recognized journals. The candidate will be expected to take an active role in the development and execution of research projects related to their research topic, as well as contribute to the preparation and submission of research proposals and funding applications.
The candidate should also be willing to actively participate in seminars, workshops, meetings, and other activities organized by the Department and the research group. As part of the responsibilities established in the PhD student agreement, the candidate will be expected to contribute to teaching activities, including serving as a teaching assistant in selected courses and proctoring examinations. These responsibilities are intended to provide the candidate with broader academic and professional development alongside their research activities.
Requisitos
Provisions relating to positions as PhD Research Fellows can be found in the Applied Engineering program web page.
- Education: MSc degree in Computer Science, Operations Research, Data Science, Industrial Engineering, Computational Social Science, or a closely related field.
- Technical Skills:
- Solid background in computational modelling,
simulation, or optimization techniques.
- Programming proficiency in Python (experience with LLM frameworks, prompt engineering, or agent-based frameworks is a strong plus).
- Familiarity with machine learning, Large Language Models (LLMs), or natural language processing.
- Soft Skills: Strong analytical problem-solving abilities, excellent writing skills for scientific publications, and the ability to work independently within a multidisciplinary team.
We recognize that candidates may have different academic and professional backgrounds. If you do not meet all of the requirements but believe that your skills, experience, and motivation make you a strong potential candidate, we still encourage you to apply. We look forward to hearing from you.
Application
Applicants Should Submit a Dossier Including:
- Detailed Curriculum Vitae including all the relevant projects/publications.
- Certificates and transcripts of the bachelor's and master's degrees. Applicants with foreign higher education must attach an official description of the grading system used at the issuing institution.
- One-page summary of MSc’s thesis
- The names and contact details of two references.
- A one-page document answering the following questions (Please describe any relevant academic, research, or practical experience, including optimization, mathematical modelling, simulation, or related methods):
- What is your experience with ABM?
- What is your experience with LLM and Software Engineering?
- What is your experience with Operations Research?
For further information or queries, please contact Sahar Elkady at
[email protected]. About The University The University of Navarra is an international University committed to quality teaching and excellence in research. It occupies the 3rd position in the Europe Teaching Ranking 2019 by Times Higher Education and Elsevier. The University was founded on the basis of Catholic principles by St.
Josemaría
Escrivá and is a corporate work of Opus Dei. It supports the professional development of its faculty and staff, promotes cultural engagement and social outreach through collaboration with NGOs and charitable organizations, and encourages service-learning initiatives. Employment opportunities are offered fairly, with all qualified candidates considered equally.
The School of Engineering (TECNUN) is home to approximately 1,200 students and is located in Donostia-San Sebastián, a vibrant and picturesque city on Spain’s northern Basque coast. As an academic institution, TECNUN conducts fundamental research across a broad range of engineering disciplines while also fostering strong links between academic research and real-world applications. In this context, TECNUN collaborates closely with CEIT, a non-profit applied research Centre founded by the University of Navarra in 1982.
This partnership facilitates the transfer of scientific knowledge into innovative technological solutions and strengthens the connection between fundamental research, applied research, and industrial needs.
For further information about the School of Engineering, the University of Navarra, and the city of Donostia-San Sebastián, please visit the following websites: University of Navarra (UNAV), TECNUN – School of Engineering, and Donostia-San Sebastián.
Requisitos
Provisions relating to positions as PhD Research Fellows can be found in the Applied Engineering program web page.
- Education: MSc degree in Computer Science, Operations Research, Data Science, Industrial Engineering, Computational Social Science, or a closely related field.
- Technical Skills:
- Solid background in computational modelling, simulation, or optimization techniques.
- Programming proficiency in Python (experience with LLM frameworks, prompt engineering, or agent-based frameworks is a strong plus).
- Familiarity with machine learning, Large Language Models (LLMs), or natural language processing.
- Soft Skills: Strong analytical problem-solving abilities, excellent writing skills for scientific publications, and the ability to work independently within a multidisciplinary team.
We recognize that candidates may have different academic and professional backgrounds. If you do not meet all of the requirements but believe that your skills, experience, and motivation make you a strong potential candidate, we still encourage you to apply. We look forward to hearing from you.
Application
Applicants Should Submit a Dossier Including:
- Detailed Curriculum Vitae including all the relevant projects/publications.
- Certificates and transcripts of the bachelor's and master's degrees. Applicants with foreign higher education must attach an official description of the grading system used at the issuing institution.
- One-page summary of MSc’s thesis
- The names and contact details of two references.
- A one-page document answering the following questions (Please describe any relevant academic, research, or practical experience, including optimization, mathematical modelling, simulation, or related methods):
- What is your experience with ABM?
- What is your experience with LLM and Software Engineering?
- What is your experience with Operations Research?
For further information or queries, please contact Sahar Elkady at
[email protected]. About The University The University of Navarra is an international University committed to quality teaching and excellence in research. It occupies the 3rd position in the Europe Teaching Ranking 2019 by Times Higher Education and Elsevier. The University was founded on the basis of Catholic principles by St.
Josemaría
Escrivá and is a corporate work of Opus Dei. It supports the professional development of its faculty and staff, promotes cultural engagement and social outreach through collaboration with NGOs and charitable organizations, and encourages service-learning initiatives. Employment opportunities are offered fairly, with all qualified candidates considered equally.
The School of Engineering (TECNUN) is home to approximately 1,200 students and is located in Donostia-San Sebastián, a vibrant and picturesque city on Spain’s northern Basque coast. As an academic institution, TECNUN conducts fundamental research across a broad range of engineering disciplines while also fostering strong links between academic research and real-world applications. In this context, TECNUN collaborates closely with CEIT, a non-profit applied research Centre founded by the University of Navarra in 1982.
This partnership facilitates the transfer of scientific knowledge into innovative technological solutions and strengthens the connection between fundamental research, applied research, and industrial needs.
For further information about the School of Engineering, the University of Navarra, and the city of Donostia-San Sebastián, please visit the following websites: University of Navarra (UNAV), TECNUN – School of Engineering, and Donostia-San Sebastián.
📌 Phd candidate - Generative Agent-Based Modeling for Climate Policy Design (San Sebastián)
🏢 Navarra Center for International Development (NCID)
📍 San Sebastián