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

Research Assistant or Associate in Computational Modelling of Dislocation Plasticity and Fatigue
Imperial College London —South Kensington
- £43,863 - £57,472 a year
- Full-time
- Doctoral degree
- C++
- Programmable logic controllers
7d
Computational Engineer (Wildfire and Meteorology)
Metrea Management LLC —London
- Full-time
- Azure
- Doctoral degree
- Engineering
- Annual leave
Lecturer/Associate Professor in NeuroAI and Computational Neuroscience
University College London —London
- £54,931 - £76,244 a year
- Full-time
- Hybrid work
- Doctoral degree
- Data analysis skills
- Machine learning
- Employee assistance programme
13d
Research Science Specialist - Scientific AI
McKinsey & Company —London
- Doctoral degree
- Computer Science
- Master's degree
Computational Engineer (Electromagnetics)
Metrea Management LLC —London
- Full-time
- Azure
- Doctoral degree
- Engineering
- Annual leave
Research Fellow in Fluid Mechanics - Aerosol Droplets Dispersion and Impact
University College London —London
- £39,148 a year
- Full-time
- Doctoral degree
- Communication skills
- Python
- Annual leave
- Employee assistance programme
13d
Software Engineer - Trading Data Technology
XTX Markets —London
- Weekend availability
- No experience needed
- Machine learning
- Annual leave
- Sick pay
Data Scientist - QuantumBlack Labs
McKinsey & Company —London
- Microsoft Powerpoint
- Doctoral degree
- Laboratory experience
15h
Machine Learning Performance Engineer
XTX Markets —London
- C++
- Machine learning
- Linux
- Annual leave
- Sick pay
eFX Alpha Quant Trader, Vice President
State Street —London
- Full-time
- Doctoral degree
- Engineering
- Java
3d
Machine Learning Engineer
BeyondMath —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Full-time PhD studentship (Chain & Yong Group)
University College London —London
- £24,643 a year
- Full-time
- Computer Science
- Master's degree
- Maths
Full-time PhD studentship (Lasso Group)
University College London —London
- £24,643 a year
- Full-time
- Data analysis skills
- Master's degree
- Bachelor's degree
6d
Principal Engineer/Scientist – Electrical Engineering & Computer Science Practice
Exponent Inc. —London
- Full-time
- Doctoral degree
- Computer Science
- Engineering
Postdoctoral Researcher
Birkbeck University of London —London
- £44,247 - £50,379 a year
- Full-time
- Doctoral degree
- University
- Annual leave
Associate Director, Data Scientist
Fitch Solutions —London
- DevOps
- SQL
- AWS
Science and Technology Lead - Next-Generation Compute Architectures
ARIA —London
- £70,000 - £105,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Maths
- AI
- Annual leave
- Employee assistance programme
Machine Learning Engineer
Orbital —London
- Full-time
- Hybrid work
- System design
- Machine learning
- AI
Research Fellow in Thermal Nanophotonics and Metasurfaces (ERC Advanced Grant)
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Machine learning
- Annual leave
- Employee assistance programme
14d
Fellowship Sponsorship - Mechanistic Theories of Neural Computation or Learning
University College London —London
- Full-time
- Doctoral degree
- University
- Machine learning
- Annual leave
- Employee discount
4d

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Research Assistant or Associate in Computational Modelling of Dislocation Plasticity and Fatigue

Imperial College London -
South Kensington

Apply Now

Job details

Full-time
£43,863 - £57,472 a year
7 days ago

Qualifications

MATLAB
Doctoral degree
Mechanical Engineering
C++
Programmable logic controllers

Full job description

Job number

ENG03945

Faculties

Faculty of Engineering

Departments

Department of Mechanical Engineering

Salary or Salary range

£43,863- £57,472 per annum

Location/campus

South Kensington Campus - On site only

Contract type work pattern

Full time - Fixed term

Posting End Date

16 Jul 2026

About the role

We are seeking a motivated Research Assistant or Research Associate to join an EPSRC-funded project investigating the micro-mechanisms of thermal fatigue in high-temperature nickel-based alloys and/or other precipitate-strengthened alloys used in aerospace and nuclear applications.

Working with Dr Christos Skamniotis and collaborators at the University of Twente, the University of Leicester, Rolls-Royce plc and UKAEA, you will develop advanced computational Multiphysics models to study the behaviour and interactions of crystallographic dislocations under extreme thermal and mechanical loads experienced in real service environments. The project combines cutting-edge Discrete Dislocation Plasticity (DDP) modelling complemented by Crystal Plasticity Finite Element (CPFE) modelling to address fundamental questions related to fatigue damage and material performance.

You will contribute to the development of in-house MATLAB and C++ modelling tools, collaborate with leading academic and industrial partners, and help advance research supporting the design of next-generation materials for demanding engineering environments.

What you would be doing

You will develop in-depth understanding of dislocation structure evolution within the microstructure of precipitate-strengthened alloys, under thermal-mechanical load cycling.
You will develop state-of-the-art 2D Discrete Dislocation Plasticity (DDP) code and leverage existing Crystal Plasticity Finite Element (CPFE) code via collaboration with world-leading experts in Dislocation Plasticity, Diffusion Kinetics, and Computing.
You will produce high-quality publications in prestigious journals.
You will present findings to industrial partners and attend regular meetings with academic/industrial project partners at Imperial, Oxford and Loughborough.
You will co-supervise PhD students working on this project and relevant projects within Dr Skamniotis’ group.
You will promote the reputation of the Group, the Department and the College.

What we are looking for

You must hold a PhD (or near completion) in Mechanical Engineering/Materials Engineering/Materials Science/Physics, or a related discipline; candidates without a PhD will be considered for Research Assistant.
At Associate level, experience of dealing with sponsors is essential.
Practical experience within a research environment and / or publication in relevant and refereed journals is essential.
You must have practical experience in computational modelling (Finite Element analysis, MATLAB).
You must have knowledge of Advanced Solid Mechanics theory, including advanced Elasticity and Plasticity.
Knowledge of research methods is essential.

What we can offer you

The opportunity to work on a cutting-edge research programme addressing critical challenges in sustainable aviation and hydrogen technologies.
Collaboration with leading researchers across Imperial College London, the University of Oxford and industrial partners.
The opportunity to continue your career at a world-leading institution
Sector-leading salary and remuneration package (including 38 days off a year)

Further information

This position is fixed term and is expected to run for up to 3 years.

If you require any further details on the role please contact: Dr Christos Skamniotis – [email protected].

In person attendance is required 5 days per week, as per the needs of the role.

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 Assistant or Associate in Computational Modelling of Dislocation Plasticity and Fatigue

Computational Engineer (Wildfire and Meteorology)

Lecturer/Associate Professor in NeuroAI and Computational Neuroscience

Research Science Specialist - Scientific AI

Computational Engineer (Electromagnetics)

Research Fellow in Fluid Mechanics - Aerosol Droplets Dispersion and Impact

Software Engineer - Trading Data Technology

Data Scientist - QuantumBlack Labs

Machine Learning Performance Engineer

eFX Alpha Quant Trader, Vice President

Machine Learning Engineer

Full-time PhD studentship (Chain & Yong Group)

Full-time PhD studentship (Lasso Group)

Principal Engineer/Scientist – Electrical Engineering & Computer Science Practice

Postdoctoral Researcher

Associate Director, Data Scientist

Science and Technology Lead - Next-Generation Compute Architectures

Machine Learning Engineer

Research Fellow in Thermal Nanophotonics and Metasurfaces (ERC Advanced Grant)

Fellowship Sponsorship - Mechanistic Theories of Neural Computation or Learning

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