13146 - Research Associate

University of Edinburgh; City of Edinburgh; Hybrid; GBP 41,000 - 49,000; Full time

Job summary

A prestigious university in Edinburgh is seeking a Grade UE07 researcher to lead a project focused on enhancing neural networks. Candidates should have a PhD or be near completion in Computer Science with a strong research background. The position offers flexible working arrangements and involves supervising students and developing related research projects.

Qualifications

• PhD (or nearing completion) in Computer Science or related field.
• Strong research track record demonstrated through publications.
• Experience in building machine learning systems is desirable.

Responsibilities

• Lead research on project improving inference over sparse neural networks.
• Assist in supervising research students and preparing presentations.
• Develop related and follow-on projects.

Skills

PhD in Computer Science or related field

Strong research track record

Experience with machine learning systems

Experience in optimizing compilers

Ability to communicate complex information

High initiative and attention to detail

Education

PhD or nearing completion

Job description

Position: Grade UE07

Salary: £41,064 - £48,822 per annum (pro‑rata if part time)

Department: CSE / School of Informatics

Work pattern: Full-time (35 hours per week). Fixed term: 12 months.

The Opportunity

The successful candidate will contribute to an industry-funded project focused on using compilation techniques to improve the performance of inference over sparse neural networks. You will be expected to lead the research on certain aspects of the project while contributing to the rest of the project (assisting in research student supervision, preparing presentations and reports for deliverables, and developing related/follow-on projects).

Candidate profile

Requirements:

• PhD (or nearing completion) in Computer Science or related field and a strong research track record demonstrated through publications at top-tier venues.
• Experience with building systems for machine learning, performance tuning, and building optimizing compilers is highly desirable.
• High motivation, strong initiative, commitment to excellence, and ability to conduct world-class research in a team setting.

Additional flexibility:

• This post is advertised as full-time; we are open to considering part-time or flexible working patterns.
• Open to requests for hybrid working (on a non-contractual basis) combining a mix of remote and regular on-campus working.

Application materials

Please include the following documents in your application:

• CV
• Cover letter

Your skills and attributes for success

• A PhD (or near completion of PhD) in Computer Science or related field.
• Excellent research track record demonstrated through publications at top-tier conferences and/or high-impact journals.
• Preferably experience in building systems for machine learning.
• Preferably experience in building optimizing compilers.
• Ability to communicate complex information clearly, both orally and in writing.
• High level of initiative, attention to detail, and ability to effectively work in a team setting.