Research Associate on project Fun2Model
| Posting date: | 21 May 2024 |
|---|---|
| Salary: | £36,024 to £44,263 per year, pro rata |
| Hours: | Full time |
| Closing date: | 06 June 2024 |
| Location: | Oxford, Oxfordshire |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | University of Oxford, Dept of Computer Science |
| Job type: | Contract |
| Job reference: | 172769 |
Summary
We are looking for a motivated Research Associate to play a key role in the ERC funded FUN2MODEL project. You will be a member of the collaborative project team working at the cutting edge of Computer Science. Reporting directly to Professor Marta Kwiatkowska, you will be contributing to the development of theories, models and algorithms for quantitative/probabilistic verification and synthesis to enable robust AI. Based within an internationally leading research group, you will benefit from working in Oxford University’s acclaimed Computer Science Department, located in the heart of Oxford’s Scientific Keble Triangle.
You will carry out research on probabilistic verification and synthesis to enable robust AI. This may involve neuro-symbolic approaches; probabilistic verification/synthesis; planning and game-theoretic methods; robustness and certification. Suitably qualified candidates will have an opportunity to implement software, liaising with Dave Parker to coordinate PRISM codebase extensions.
You will be expected to write research articles for leading conferences and journals, complete clear task objectives, organise your workload, and proactively contribute towards the research group’s objectives.
You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: symbolic/neuro-symbolic methods; probabilistic/statistical verification and synthesis; planning and game theory, as well as have proven experience of software development in relevant areas, such as SAT/SMT, statistical inference, constraint solving and optimisation. Familiarity with neural networks and Bayesian methods is desirable.
The closing date for applications is 12 noon on 6th June 2024. Interviews are expected to be held in June.
We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.
Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.
Demonstrating a commitment to provide equality of opportunity, we would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.
You will carry out research on probabilistic verification and synthesis to enable robust AI. This may involve neuro-symbolic approaches; probabilistic verification/synthesis; planning and game-theoretic methods; robustness and certification. Suitably qualified candidates will have an opportunity to implement software, liaising with Dave Parker to coordinate PRISM codebase extensions.
You will be expected to write research articles for leading conferences and journals, complete clear task objectives, organise your workload, and proactively contribute towards the research group’s objectives.
You should hold a PhD (or be close to completion) in computer science, mathematics or related discipline, possess sufficient specialist knowledge across some/all areas of: symbolic/neuro-symbolic methods; probabilistic/statistical verification and synthesis; planning and game theory, as well as have proven experience of software development in relevant areas, such as SAT/SMT, statistical inference, constraint solving and optimisation. Familiarity with neural networks and Bayesian methods is desirable.
The closing date for applications is 12 noon on 6th June 2024. Interviews are expected to be held in June.
We are a Stonewall Top 100 Employer, Living Wage and Mindful Employer, holding an Athena Swan Bronze Award, HR excellence in Research and Race Equality Charter Bronze Award.
Our staff and students come from all over the world and we proudly promote a friendly and inclusive culture. Diversity is positively encouraged, through diversity groups and champions, for example http://www.cs.ox.ac.uk/aboutus/women-cs-oxford/index.html , as well as a number of family-friendly policies, such as the right to apply for flexible working and support for staff returning from periods of extended absence, for example shared parental leave.
Demonstrating a commitment to provide equality of opportunity, we would particularly welcome applications from women and black and minority ethnic applicants who are currently under-represented within the Computer Science Department. All applicants will be judged on merit, according to the selection criteria.