Cambridge Mathematical Innovation Research Associate

Statistics Interest Group; Cambridge; Remote; GBP 42,000 - 54,000; Full time

Job summary

The University of Cambridge – Cambridge Mathematical Innovation Research Associate role sits within CHIMiRA. The successful candidate will join a small CaMIRAs team, working on a portfolio of short-to medium-term projects funded by academic or industrial partners, with broad scope across statistics, ML, and AI.

The role requires the ability to communicate complex statistical ideas to non-technical audiences, manage proposals, collaborations, and possibly supervise student projects, with two-year

Qualifications

• PhD in Statistics, Data Science, or a related field.
• Postdoctoral experience or industry exposure is desirable.
• Experience across multiple statistical disciplines and real-world applications.
• Coding and software engineering proficiency relevant to ML/AI tasks.

Responsibilities

• Develop and conduct individual and collaborative research objectives, proposals, and projects.
• Plan and manage own research and administration, with guidance if required.
• Assist in preparation of proposals and applications to external bodies.
• Communicate technical material effectively and build internal and external contacts.
• Possibly supervise student projects, develop student research skills, and deliver seminars.

Skills

Statistical methods

Machine learning

Communication

Grant writing

Research planning

Education

PhD in Statistics or Data Science

Tools

Coding / software engineering proficiency

Job description

University of Cambridge – Cambridge Mathematical Innovation Research Associate

Position Title Cambridge Mathematical Innovation Research Associate

Duties and Responsibilities

The successful candidate will join a small team of CaMIRAs, who typically work on a portfolio of short-to medium term projects funded by academic or industrial partners. The role will be very flexible, in both application area and project type, and the ideal candidate would necessarily be required to have developed skills in several areas of Statistics, be eager to learn techniques from different statistical disciplines, machine learning, and AI, and have excellent communication skills to scope ideas, co-design projects, and articulate statistical concepts to a non-technical audience. Prior industrial experience would be desirable, but a positive attitude to industrial engagement is essential. The role requires strong skills in interpersonal communication, relationship building, time management, manuscript preparation, and grant writing.

CHIMiRA is a self-funded Hub and requires ongoing research and industrial funding to support its research activities. Therefore, the successful candidate will be proactive in initiating collaborations with research groups throughout the University and in Industry, engaging with the wider UK Innovation Research Associate network, and communicating CHIMiRA's activities to a wide audience. They should have experience/interest in entrepreneurial activities, such as research commercialisation, intellectual property protection and/or translational research.

Duties include developing and conducting individual and collaborative research objectives, proposals, and projects. The role holder will be expected to plan and manage their own research and administration, with guidance if required, and to assist in the preparation of proposals and applications to external bodies. You must be able to communicate material of a technical nature and be able to build internal and external contacts. You may be asked to assist in the supervision of student projects, the development of student research skills, provide instruction, or plan/deliver seminars relating to the research area.

Position Qualifications

The successful candidate will have a PhD in Statistics, Data Science, or a similar discipline, may have completed a postdoctoral position or position in industry before, and possess experience in several areas of Statistics. We expect the successful candidate to have seen one or more projects through to completion, preferably with an application of their research in a real‑world setting. Coding and software engineering proficiency will be expected if relevant to their experience, e.g. for machine learning challenges.

Fixed-term: The funds for this post are available for two years in the first instance, and the post may, subject to the availability of funding, be further renewed for a period or periods.