Ai scientist Work, Jobs in Debden, Ess (with Salaries)

Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)
University of Cambridge —Cambridge
- £34,610 - £46,049 a year
- Call to connect
- Doctoral degree
- Computer Science
- Research
Digital Transformation Business Analyst
FedEx EU —Stansted
- Full-time
- Hybrid work
- Engineering
- Analysis skills
- Travel
- Employee assistance programme
3d
MPhil in Precision Medical Imaging & AI Course (PREMIA) Coordinator (Fixed Term)
University of Cambridge —Cambridge
- £31,236 - £35,608 a year
- Administrative experience
- IT
- Communication skills
10d
Agentic AI Engineer (life sciences)
Healx —Cambridge
- Full-time
- Hybrid work
- Master's degree
- AI
- Annual leave
- Work from home
3d
AI/ML Research Consultant
Awerian —Cambridge
- Full-time
- Research
- Bachelor's degree
- Machine learning
- Life insurance
Quick apply
Associate Principal Scientist, AI and Computational Tools, Oncology R&D (1-year FTC)
AstraZeneca —Cambridge
- Doctoral degree
- Master's degree
- Mentoring
5d
Data Scientist
FedEx EU —Stansted
- Full-time
- Hybrid work
- Master's degree
- Machine learning
- No degree
- Employee assistance programme
3d
Machine Learning & AI Materials Scientist
BIOVIA —Cambridge
- Hybrid work
- Doctoral degree
- English
- Master's degree
- Flexible schedule
Researcher & Modeling Scientist
TaiSan —Cambridge
- £45,000 - £60,000 a year
- Full-time
- Doctoral degree
- Analysis skills
- AI
- Annual leave
- Employee assistance programme
Quick apply
Product Manager – Data, Automation & AI
FedEx EU —Stansted
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Analysis skills
- Employee assistance programme
3d
Bioinformatician - Disease Gene Discovery - Inherited Mitochondrial Diseases
University of Cambridge —Cambridge
- £42,254 - £56,535 a year
- Doctoral degree
- Research
- University
Computational Scientist (AI & Biology)
Ensocell —Cambridge
- Full-time
- Doctoral degree
- Machine learning
- AI
- Annual leave
- Employee assistance programme
Quick apply
Applied Scientist, Silicon and Systems Group Edge AI
Evi Technologies Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- Machine learning
Software Test Engineer 2
Illumina —Cambridge
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
10d
Digital Transformation Lead
FedEx EU —Stansted
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Bachelor's degree
3d
Carbon Analysis Engineer
Neutreeno —Cambridge
- £35,000 - £45,000 a year
- Full-time
- Hybrid work
- Engineering
- Master's degree
- Bachelor's degree
- Annual leave
Quick apply
11d
R&D Scientist, Quantum Algorithms - 920
Quantinuum —Cambridge
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Leadership
- Annual leave
- Employee assistance programme
Senior Scientist – Diagnostic Deployment
AstraZeneca —Cambridge
- Laboratory experience
- Continuous improvement
- Communication skills
Product Manager - Clinical Study Design - RDT Biometrics and Clinical Evidence
Roche —Welwyn
- Hybrid work
- Doctoral degree
- Master's degree
- Bachelor's degree
Applied Scientist, Alexa International Tech
Amazon Development Centre (London) Limited —Cambridge
- Full-time
- Doctoral degree
- Master's degree
- AI

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Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)

University of Cambridge -
Cambridge

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Job details

Fixed term contract
£34,610 - £46,049 a year

Qualifications

Doctoral degree
Computer Science
Science and research experience
Research
Fortran
Software development
AI

Full job description

Fixed-term: The funds for this post are available for 2 years.

Programming is an important skill in the modern scientist's toolkit, with computational modelling key to progress in many scientific fields. The rise of generative AI via Large Language Models presents opportunities for increasing productivity in research software engineering and scientific computing. However, LLMs may generate incorrect code, undermining the overall scientific endeavour. Validation and verification are therefore important to guard against error. Furthermore, there is a need to separate corporate interest from meaningful data on the effective use of these tools, and to consider their environmental and human impact.

The goal of this position is to explore how to better leverage generative-AI for trustworthy software engineering within science, without eroding science or understanding, and including a critical view of negative externalities. The scientific context will primarily be climate and earth sciences.

Potential projects include (but are not limited to):

developing and evaluating frameworks that incorporate analytical tools (e.g., testing, static analysis, type systems, climate ensemble validators) in feedback loops with LLMs;
leveraging LLMs to generate code alongside proofs (e.g., in Lean, Rocq, Agda) for improving verification of computational models and supporting trust in generated code;
AI-enabled language translation frameworks, e.g., from Fortran (popular in climate science) to modern languages, e.g., Python/JAX.

This post is based in the Department of Computer Science and Technology, University of Cambridge and is part of the Institute of Computing for Climate Science (ICCS), a multi-disciplinary cross-department initiative supporting climate modelling through the latest in computer science, mathematics, and software engineering. ICCS receives funding from a variety of sources including Schmidt Sciences.

The candidate will join a group applying programming language-oriented and software engineering research to support scientific work. There may be an option to work with Research Software Engineers to support the implementation of engineering artefacts developed in this project.

Role requirements:

Degree-level education, with a PhD (or nearing completion of) in Computer Science, Engineering, Mathematics, Physical/Natural Sciences, or similar;
Research experience in either computational modelling, programming languages, verification, or generative AI;
Track record of publications and research experience.

Desirable characteristics:

Experience working with domain scientists;
Experience developing practical tools;
Familiarity with generative AI workflows and tools. This is a fixed term appointment and funds for the post are initially available for 2 years.

If you have any questions regarding the role or the application process, please contact Dominic Orchard ([email protected]).

Please indicate the contact details of two academic referees on the online application form and upload a full curriculum vitae, publications list, and a description of your recent research, current research and future research interests within this role (not to exceed two pages).

Please quote reference NR50505 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.

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

Apply online

Apply Now

Refine Your Search

ai scientist jobs in debden, ess

Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term)

Digital Transformation Business Analyst

MPhil in Precision Medical Imaging & AI Course (PREMIA) Coordinator (Fixed Term)

Agentic AI Engineer (life sciences)

AI/ML Research Consultant

Associate Principal Scientist, AI and Computational Tools, Oncology R&D (1-year FTC)

Data Scientist

Machine Learning & AI Materials Scientist

Researcher & Modeling Scientist

Product Manager – Data, Automation & AI

Bioinformatician - Disease Gene Discovery - Inherited Mitochondrial Diseases

Computational Scientist (AI & Biology)

Applied Scientist, Silicon and Systems Group Edge AI

Software Test Engineer 2

Digital Transformation Lead

Carbon Analysis Engineer

R&D Scientist, Quantum Algorithms - 920

Senior Scientist – Diagnostic Deployment

Product Manager - Clinical Study Design - RDT Biometrics and Clinical Evidence

Applied Scientist, Alexa International Tech

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