Asieh Salehi Fathabadi
Top university
1 year ago
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Verifiably sustainable autonomous vehicles University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Funding opportunities are available for both UK and international students. Horizon Europe fee waivers cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries and studentships typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis; early application is recommended. For more details, visit the university's postgraduate research funding pages.
Deadline
Expired
Country
United Kingdom
University
University of Southampton
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Keywords
About this position
This PhD opportunity at the University of Southampton focuses on developing verifiably sustainable autonomous vehicles using formal methods to ensure safety, trust, and resilience. The project is multidisciplinary, integrating computer science, engineering, and social science to address the challenges of safety and public trust in autonomous vehicle systems. Research themes include mathematical modelling and verification of safety properties, modelling user trust and acceptance, and proving system resilience under uncertainty.
The project is led by Dr Asieh Salehi Fathabadi, with co-supervision from Professor Pauline Leonard and Dr Vahid Yazdanpanah. Applicants should have a strong background in mathematics, computer science, or engineering, with interests in formal methods, programming, logic, and human-technology interaction.
Social science perspectives and interdisciplinary skills are valued. Comprehensive training in formal methods will be provided. The School of Electronics and Computer Science promotes equality, diversity, and inclusivity.
Funding is available for UK and international students, including fee waivers and competition-based bursaries and studentships. The application deadline is December 15, 2025, and funding is awarded on a rolling basis. To apply, candidates should submit a research proposal, CV, academic references, transcripts, and English language qualification if required.
For more information, visit the university's project page or contact the supervisors.
Funding details
Funding opportunities are available for both UK and international students. Horizon Europe fee waivers cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries and studentships typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis; early application is recommended. For more details, visit the university's postgraduate research funding pages.
What's required
Applicants must hold a UK 2:1 honours degree or international equivalent in mathematics, computer science, or engineering. Essential skills include interest in mathematical approaches to system verification, programming skills, interest in logic and mathematical modelling, enthusiasm for human-technology interaction, analytical thinking, and appreciation for human factors in technology adoption. Candidates with curiosity about social science perspectives and analysing social trust dynamics in technological systems are encouraged. No prior formal methods experience is required; comprehensive training will be provided. Interdisciplinary backgrounds combining technical and social science interests are welcome. English language qualification is required for non-native speakers. Applications must include a research proposal, CV, two academic references, degree transcripts and certificates, and English language qualification if applicable.
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Professors
Lecturer in Computer Science at University of Southampton
United Kingdom
Research Interests
Cybersecurity
Avionics
Mechanical Engineering
Safety Evaluation
System Architecture
Lecturer at University of Southampton
United Kingdom
Research Interests
Cybersecurity
Energy Engineering
Agent-based Modeling
Sociotechnical Systems
Computer Science
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