Computational physics Work, Jobs in London, Eng (with Salaries)

Research Associate in Computational Biomolecular Physics
Imperial College London —South Kensington
- Full-time
- Doctoral degree
- Analysis skills
- University
5d
Lecturer (Teaching) in Physics
University College London —London
- £54,931 - £64,644 a year
- Full-time
- Teaching
- Annual leave
- Employee assistance programme
Physical AI Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO
IMC Financial Markets —London
- £300,000 a year
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
- Annual leave
Software Engineer I - Computational Fluid Dynamics (CFD)
Cadence Design Systems —London
- Full-time
- C++
- Maths
- No degree
- Employee stock purchase plan
- Life insurance
5d
Software Engineer II - Computational Fluid Dynamics (CFD)
Cadence Design Systems —London
- Full-time
- C++
- Maths
- No degree
- Employee stock purchase plan
- Life insurance
5d
Computational Engineer (Electromagnetics)
Metrea Management LLC —London
- Full-time
- Azure
- Doctoral degree
- Engineering
- Annual leave
Research Scientist/Engineer (Agentic Systems)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
- Relocation assistance
- Annual leave
14d
Software Engineer, Infrastructure
Normal Computing Corporation —London
- £185,000 - £285,000 a year
- Full-time
- Hybrid work
- APIs
- IT
- AI
Research Engineer, Quantum Computing, DeepMind
DeepMind —London
- Doctoral degree
- Computer Science
- Bachelor's degree
Research Scientist (AI Behaviours)
White Circle —London
- £150,000 - £250,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- English
- Relocation assistance
- Annual leave
14d
Scientist in Quantum Computing and Machine Learning
NPL —Teddington
- Master's degree
- Machine learning
- No degree
AI Engineering Lead
Normal Computing Corporation —London
- £250,000 - £340,000 a year
- Full-time
- Hybrid work
- Mentoring
- AI
- Leadership
Associate Director, Data Scientist
Fitch Solutions —London
- DevOps
- SQL
- AWS
AI Research Engineer
Normal Computing Corporation —London
- £300,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- AI
Hardware Engineer, Architect
Normal Computing Corporation —London
- £234,001 - £298,252 a year
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Founding Optimisation Engineer
Dayjobai, Inc —London
- £75,000 - £100,000 a year
- Full-time
- Hybrid work
- Computer Science
- SQL
- Mentoring
Quick apply
12d
Research Engineer, Algorithms
Normal Computing Corporation —London
- £300,000 - £400,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Machine learning
- Python
1d
Quantitative Engineer
London Stock Exchange Group —London
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
Machine Learning Performance Engineer
XTX Markets —London
- C++
- Machine learning
- Linux
- Annual leave
- Sick pay

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Research Associate in Computational Biomolecular Physics

Imperial College London -
South Kensington

Apply Now

Job details

Full-time
5 days ago

Benefits

Company pension

Qualifications

Doctoral degree
Analysis skills
Machine learning
Physics

Full job description

Job number

NAT02237

Faculties

Faculty of Natural Sciences

Departments

Department of Physics

Salary or Salary range

Competitive

Location/campus

South Kensington Campus - On site only

Contract type work pattern

Full time - Fixed term

Posting End Date

31 Aug 2026

About the role

You will play a key role in a multidisciplinary programme on computational proteomics in a new physical dimension, supported by UKRI and the NSF, involving Imperial College London (Physics), the University of California San Diego (Computing), as well as industrial and academic partners in Europe and the US. The programme aims to develop conceptually new de novo sequencing tools based on two-dimensional partial covariance mass spectrometry, invented and developed in the Department of Physics at Imperial College London. This role offers a unique opportunity for a physicist interested in developing transformative analytical technologies.

What you would be doing

This role combines computational and experimental aspects. You will design and implement advanced computational algorithms for reconstructing peptide sequences directly from experimental mass spectral data, without recourse to protein sequence databases. You will also be engaged in mass spectral data acquisition in an analytical mass spectrometry laboratory.

You will work collaboratively with the Imperial College team and US project partners on the development and optimisation of de novo sequencing algorithms. You will liaise with project partners and participate in data acquisition campaigns in partner laboratories.

What we are looking for

You will hold a PhD in Physics (or a closely related quantitative discipline) and have an outstanding record of research achievement. We are particularly interested in candidates with exceptional computational and analytical skills, demonstrated through the development of novel algorithms, advanced data-analysis methodologies, scientific software, machine learning approaches or other computational research tools.

The ideal candidate will be intellectually ambitious, highly self-motivated and excited by the prospect of working at the boundary between physics, computation and biomolecular science. Experience in proteomics or mass spectrometry is not required; candidates with strong backgrounds in computational physics, statistical physics, machine learning, signal processing, inverse problems, optimisation, applied mathematics or related fields are particularly encouraged to apply.

What we can offer you

The opportunity to contribute to a pioneering international research programme aimed at establishing an entirely new physical paradigm for biomolecular sequencing. You will help develop both the underlying physical methodology and the computational frameworks required to unlock information inaccessible to conventional analytical approaches, creating new capabilities with broad scientific and technological impact.
Collaboration within a multidisciplinary team involving physicists, computer scientists and analytical mass spectrometrists.
Involvement in publications, conference presentations and future grant applications.
The opportunity to continue your career at a world-leading institution and contribute to our mission of “Science for Humanity”.
Access to Imperial’s sector-leading career support for researchers, as well as opportunities for promotion and progression.
A sector-leading salary and remuneration package, including 41 days’ leave per year and generous pension schemes.
A diverse, inclusive and collaborative working culture, with staff networks and resources to support your personal and professional wellbeing.

Further information

The position is available immediately. We would ideally like the successful candidate to start as soon as possible, but the start date is flexible and can be agreed to accommodate notice periods and other commitments.

This is a full-time (35 hours per week), fixed-term role based at our South Kensington Campus.

If you require further details about the role, please contact:
Professor Vitali Averbukh – [email protected]

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at [email protected]. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages.

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

Apply Now

Refine Your Search

computational physics jobs in london, eng

Research Associate in Computational Biomolecular Physics

Lecturer (Teaching) in Physics

Physical AI Data Scientist - QuantumBlack Labs

GRADUATE MACHINE LEARNING RESEARCHER - CHICAGO

Software Engineer I - Computational Fluid Dynamics (CFD)

Software Engineer II - Computational Fluid Dynamics (CFD)

Computational Engineer (Electromagnetics)

Research Scientist/Engineer (Agentic Systems)

Software Engineer, Infrastructure

Research Engineer, Quantum Computing, DeepMind

Research Scientist (AI Behaviours)

Scientist in Quantum Computing and Machine Learning

AI Engineering Lead

Associate Director, Data Scientist

AI Research Engineer

Hardware Engineer, Architect

Founding Optimisation Engineer

Research Engineer, Algorithms

Quantitative Engineer

Machine Learning Performance Engineer

I want to receive the latest job alerts for computational physics in london, eng

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