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Research Associates in Physics-inspired/physics-based computing (Fixed Term)

University of Cambridge

Cambridge

On-site

GBP 36,000 - 45,000

Full time

2 days ago

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Job summary

The University of Cambridge invites applications for up to two postdoctoral Research Associates in Physics-inspired/physics-based computing. Successful candidates will lead research on critical areas including quantum physics and machine learning, contributing to exciting new projects within a supportive academic environment.

Qualifications

Completed or nearly completed PhD focusing on machine learning, quantum information, or related areas.
Demonstrated capacity to produce world-class research.
Experience with statistical mechanics, quantum mechanics, or combinatorial optimisation is beneficial.

Responsibilities

Develop and conduct individual and collaborative research projects.
Plan and manage own research and assist in proposal preparation.
Supervise student projects and deliver seminars.

Skills

Research Skills

Collaboration

Project Management

Education

PhD in Applied Mathematics or Theoretical Physics

Research Associates in Physics-inspired/physics-based computing (Fixed Term)

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Research Associates in Physics-inspired/physics-based computing (Fixed Term)

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We invite applications for up to two postdoctoral Research associates in physics-inspired/physics-based computing at the Department of Applied Mathematics and Theoretical Physics. The successful appointees would be expected to start any time before October 2025 for two years.

One position will be funded by the UK multidisciplinary centre for neuromorphic computing. Candidates should be qualified to undertake research topics on quantum to classical transition, broadly defined. Another position will be funded by the Horizon Europe Pathfinder grant. Candidates should be qualified to undertake research topics in spin-glass physics, quantised vortices, or physics-based machine learning and neural networks, broadly defined.

The successful candidates will have completed (or nearly completed) a PhD in applied mathematics, scientific computing or theoretical physics focusing on one or several areas from the following topical list: machine learning, neural networks, quantum information, statistical mechanics, quantum fluids, combinatorial optimisation or other closely related areas prior to their appointment and will have demonstrated a capacity to produce world-class research.

Duties would include developing and conducting individual and collaborative research projects. The role holders will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. They may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction or plan/deliver seminars relating to their research area.

Fixed-term: The funds for these posts are available for two years in the first instance, and the posts may, subject to the availability of funding, be further renewed for another year.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please indicate the contact details of two academic referees on the online application form and upload a full curriculum vitae, list of publications and a research statement (one page only). Please ensure that at least one of your referees is contactable at any time during the selection process, and is made aware that they will be contacted by the Mathematics HR Office Administrator to request that they upload a reference for you to our Web Recruitment System, and please encourage them to do so promptly.

The closing date for the advert is 15 July 2025.

Informal inquiries can be made by contacting Prof. Natalia Berloff at n.g.berloff@damtp.cam.ac.uk.

For enquiries regarding the vacancy or the application process, please email LE45926@maths.cam.ac.uk.

Please quote reference LE45926 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and/or candidates from a BAME background for this vacancy as they are currently under-represented at this level in our department.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Further Particulars

Apply online

Seniority level

Seniority level
Internship

Employment type

Employment type
Full-time

Job function

Job function
Research, Analyst, and Information Technology
Industries
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