13212 - Research Associate
| Posting date: | 08 October 2025 |
|---|---|
| Salary: | £41,064 to £48,822 per year |
| Hours: | Full time |
| Closing date: | 22 October 2025 |
| Location: | Edinburgh, Scotland |
| Remote working: | On-site only |
| Company: | University of Edinburgh |
| Job type: | Contract |
| Job reference: | 13212 |
Summary
Grade UE07: £41,064 to £48,822 per annum
CSE / School of Informatics
Full-time: 35 hours per week
Fixed-term: 30th June 2026
Applications are invited for research associate positions in Algorithms and Complexity, funded by the European Research Council (ERC) starting grant “New Approaches to Counting and Sampling” (NACS), led by Dr. Heng Guo in the School of Informatics, University of Edinburgh.
The Opportunity:
The project NACS aims to explore new frontiers in computational counting and sampling, including developing new algorithms and analysis techniques. Typical tools and topics are Markov chains Monte Carlo, Lovasz local lemma, high dimensional expanders, geometry of polynomials, etc. The successful applicant will be generously supported by the project and will have the opportunity to collaborate with project partners.
Your skills and attributes for success:
Essential:
PhD (or near completion) in Computer Science, Mathematics, or related fields
Evidence of the ability to conduct high-quality research and produce publications in top-tier venues
Confidence in understanding and handling of complex mathematical ideas. Firm knowledge of randomised algorithms and discrete probability.
Desirable:
Experience of research in computational counting and sampling
Outstanding publication record
Excellence in written and oral communication, planning and time management skills
Contact details for enquiries: Heng Guo (hguo@inf.ed.ac.uk)
CSE / School of Informatics
Full-time: 35 hours per week
Fixed-term: 30th June 2026
Applications are invited for research associate positions in Algorithms and Complexity, funded by the European Research Council (ERC) starting grant “New Approaches to Counting and Sampling” (NACS), led by Dr. Heng Guo in the School of Informatics, University of Edinburgh.
The Opportunity:
The project NACS aims to explore new frontiers in computational counting and sampling, including developing new algorithms and analysis techniques. Typical tools and topics are Markov chains Monte Carlo, Lovasz local lemma, high dimensional expanders, geometry of polynomials, etc. The successful applicant will be generously supported by the project and will have the opportunity to collaborate with project partners.
Your skills and attributes for success:
Essential:
PhD (or near completion) in Computer Science, Mathematics, or related fields
Evidence of the ability to conduct high-quality research and produce publications in top-tier venues
Confidence in understanding and handling of complex mathematical ideas. Firm knowledge of randomised algorithms and discrete probability.
Desirable:
Experience of research in computational counting and sampling
Outstanding publication record
Excellence in written and oral communication, planning and time management skills
Contact details for enquiries: Heng Guo (hguo@inf.ed.ac.uk)