At a Glance
- Tasks: Explore generative AI for trustworthy software engineering in climate and earth sciences.
- Company: Join the University of Cambridge's innovative Department of Computer Science and Technology.
- Benefits: Fixed-term position with opportunities for impactful research and collaboration.
- Other info: Be part of a diverse team dedicated to equality and inclusion.
- Why this job: Make a difference in scientific computing while tackling real-world challenges.
- Qualifications: PhD or nearing completion in relevant fields, with research experience in AI or programming.
The predicted salary is between 35000 - 45000 £ per year.
Location: West Cambridge
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. 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.
Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term) in Cambridge employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term) in Cambridge
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We think you need these skills to ace Research Assistant/Associate in Trustworthy Generative AI for Computational Science (Fixed Term) in Cambridge
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