Research Assistant / Research Associate in AI for Science - Multiple Positions(Fixed Term)

University of Cambridge; Hartford; On-site; GBP 80,000 - 100,000; Full time

Job summary

A prestigious educational institution in the United Kingdom seeks a researcher with a strong background in Python programming and archival research for projects in materials science. The role involves auto-generating question-answering datasets and creating domain-specific language models. Ideal candidates will have a research-focused undergraduate or PhD degree, along with strong writing skills for producing professional reports. Collaboration in interdisciplinary meetings and maintaining documentation are also key aspects of this position.

Responsibilities

• Auto-generating a QA dataset for polymers.
• Creating a domain-specific language model for polymeric science.
• Conducting archival research to produce professional reports.

Skills

Strong Python programming skills

Ability to work independently and within a team

Strong archival and writing skills

Education

Research-focused undergraduate or PhD in a relevant field

Research-focused undergraduate or PhD with an academic dissertation based on archival research

Job description

• Auto-generating a question-answering (QA) dataset for polymers
• Creating a domain-specific language model for polymeric science
• Auto-generating a QA dataset for battery devices
• Creating a domain-specific language model for battery device technology
• Creating a QA dataset for polymer nanocomposites
• Creating a domain-specific language model for wind‑turbine technology
• Developing a Materials 4.0 chatbot that auto-generates material ontologies
• Building application programming interfaces (APIs) for a database platform
• Conducting archival research to produce a professional report on dark and grey data for polymers
• Conducting archival research to produce a professional report on dark and grey data for batteries, Produce high-quality research output suitable for publication.
• Generate datasets, language models and ontologies in line with project objectives.
• Contribute to the development of a Materials 4.0 chatbot and API platform.
• Collaborate in regular interdisciplinary project meetings.
• Maintain clear documentation and progress reports.

Qualifications – Social Science / Archival Streams (last two)

• Research-focused undergraduate or PhD in a code-heavy discipline within the physical sciences, computer science, mathematics or a closely related field, Strong Python programming skills.
• Experience or interest in data science, AI for materials, and working with real-world datasets.
• Ability to work independently and within a team.
• Research-focused undergraduate or PhD with an academic dissertation based on archival research.
• Strong archival and writing skills; ability to produce professional reports.
• Experience in data science and/or scientific policy is advantageous.