Postdoctoral research associate Work, Jobs in West Thurrock, Ken (with Salaries)

Research Associate (Postdoctoral)
Imperial College London —South Kensington
- £49,017 - £57,472 a year
- Part-time
- Doctoral degree
- Machine learning
- Computer skills
4d
Research Fellow
University College London —London
- Full-time
- Doctoral degree
- Annual leave
- Employee assistance programme
12d
Research Associate in Virology
Imperial College London —South Kensington
- £43,863 - £57,472 a year
- Full-time
- Doctoral degree
- Analysis skills
- Communication skills
4d
Research Assistant in Adolescent Digital Wellbeing
Imperial College London —South Kensington
- £43,863 - £45,509 a year
- Full-time
- Doctoral degree
- Master's degree
- University
Eric and Wendy Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)
Imperial College London —White City
- £55,144 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Research Associate in Adolescent Digital Wellbeing
Imperial College London —South Kensington
- £49,017 - £50,893 a year
- Full-time
- Doctoral degree
- SQL
- APIs
Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)
Imperial College London —White City
- £55,144 a year
- Full-time
- Doctoral degree
- University
- Machine learning
Research Fellow (Sansom Lab)
University College London —London
- £43,981 - £52,586 a year
- Full-time
- Doctoral degree
- Annual leave
- Employee assistance programme
7d
Research Associate
Imperial College London —Hammersmith
- £49,017 - £57,472 a year
- Full-time
- Doctoral degree
- University
Research Associate or Fellow
Imperial College London —White City
- £49,017 - £65,073 a year
- Full-time
- Doctoral degree
- Laboratory experience
9d
Associate/Scientific Editor- Microbiology, iScience, Cell Press
Elsevier —London
- Full-time
- Doctoral degree
- Data analysis skills
- English
- Employee discount
Associate/Scientific Editor- Microbiology, iScience, Cell Press
RELX —London
- Full-time
- Doctoral degree
- Data analysis skills
- English
- Employee discount
Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Fellow)
Imperial College London —White City
- £62,433 a year
- Full-time
- Doctoral degree
- Machine learning
- IT
Interim Associate or Senior Editor, Nature Energy
Springer Nature —London
- Full-time
- Hybrid work
- Doctoral degree
- Communication skills

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Research Associate (Postdoctoral)

Imperial College London -
South Kensington

Apply Now

Job details

Part-time | Full-time
£49,017 - £57,472 a year
4 days ago

Benefits

Company pension

Qualifications

Doctoral degree
R
Machine learning
Computer skills
Python

Full job description

Job number

ENG03959

Faculties

Faculty of Engineering

Departments

Department of Civil and Environmental Engineering

Salary or Salary range

£49,017 - £57,472 per annum

Location/campus

South Kensington Campus - Hybrid

Contract type work pattern

Full time or Part time - Fixed term

Posting End Date

14 Jul 2026

About the role

Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM) at Imperial College London, and contributing to the research programme of the Transport Strategy Centre (TSC). The post forms part of a funded research agenda aimed at advancing the scientific understanding and causal analytical foundations of mass transit system performance. The research is expected to contribute both novel methodological advances in statistical modelling, causal inference, and machine learning, and substantive empirical insights relevant to the design and operation of mass transit systems.

The primary objective of the role is to develop, extend, and apply rigorous statistical and computational methods for the modelling and causal analysis of mass transit systems. The research will focus in particular on the development and application of data science methods to address key challenges in capacity utilisation, service reliability, system resilience, accessibility, and decarbonisation pathways towards net-zero transport systems.

What you would be doing

The postholder will undertake original research involving the development and application of statistical modelling, causal inference, and machine learning methods. The work will combine theoretical model development with the analysis of large-scale, high-dimensional transport datasets, drawing on computational approaches to identify causal mechanisms, estimate treatment effects, and derive data-driven insights into system behaviour and the impacts of operational interventions.

What we are looking for

Applicants should hold a PhD (or be close to completion) in a relevant analytical and quantitative discipline, such as civil or transport engineering, transport modelling, mathematics, statistics, data science, computer science, or economics. The successful candidate will be expected to demonstrate the ability to conduct independent, high-quality research, to disseminate findings through publications in leading peer-reviewed journals and international conferences, and to contribute to the preparation of research reports and competitive research funding proposals

PhD (or near completion) in civil or transport engineering, transport planning, transport modelling, mathematics, statistics, data science, economics, computer science, or a closely related discipline, or equivalent research, industrial, or commercial experience. (E)
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
Experience conducting analytical and numerical research relevant to mass transit, public transport, or transport system performance.(E)
Knowledge of relevant analytical methods, including, but not limited to, statistical inference, causal inference and econometric methods (such as instrumental variables, regression discontinuity, and difference-in-differences), and machine learning methods, with familiarity with operations research and game theory as additional assets. (E)
Ability to develop and apply new analytical concepts. (E)
Advanced computer skills, including R or Python programming. (E)

The above list is not exhaustive. Applicants should review the full job description and criteria for this role.

What we can offer you

Professional development opportunities, including publishing in leading journals, presenting at international conferences, and shaping industry standards
The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).
Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Further information

If you have any questions about the role please contact: Professor D Graham [email protected]

Our preferred method of application is online via our website. Please click ‘apply’ below or go to https://www.imperial.ac.uk/job-applicants/and search using reference number ENG03959

Application enquiries should be directed to Alexandra Williams, [email protected]

Closing Date: Midnight 14 July 2026

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

postdoctoral research associate jobs in west thurrock, ken

Research Associate (Postdoctoral)

Research Fellow

Research Associate in Virology

Research Assistant in Adolescent Digital Wellbeing

Eric and Wendy Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)

Research Associate in Adolescent Digital Wellbeing

Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Associate)

Research Fellow (Sansom Lab)

Research Associate

Research Associate or Fellow

Associate/Scientific Editor- Microbiology, iScience, Cell Press

Associate/Scientific Editor- Microbiology, iScience, Cell Press

Chapman-Schmidt AI in Science Postdoctoral Fellows, a program of Schmidt Sciences (Research Fellow)

Interim Associate or Senior Editor, Nature Energy