Cambridge Mathematical Innovation Research Associate (Fixed Term)

CamWebDir; Cambridge; Remoto; GBP 40.000 - 50.000; Tempo pieno

Descrizione del lavoro

University of Cambridge seeks a Cambridge Mathematical Innovation Research Associate (CaMIRA) to join the CHIMiRA hub in the Department of Pure Mathematics and Mathematical Statistics. The role supports interdisciplinary projects, industrial collaborations, and research translation for real-world impact.

The successful candidate will hold a PhD in Statistics or Data Science, demonstrate strong communication skills, and be capable of managing multiple projects with partners in academia and

Competenze

• PhD in Statistics, Data Science or a related discipline.
• Experience applying statistics to real-world problems.
• Ability to communicate technical material to non-technical audiences.
• Experience with coding and software engineering for ML challenges.

Mansioni

• Develop and conduct individual and collaborative research objectives, proposals, and projects.
• Plan and manage own research and administration with guidance when required.
• Assist in the preparation of proposals and applications to external bodies.
• Supervise student projects and plan seminars related to the research area.

Conoscenze

Statistics

Data science

Machine learning

Communication skills

Grant writing

Project management

Formazione

PhD in Statistics

PhD in Data Science

PhD in related field

Strumenti

Python

R

ML frameworks

Descrizione del lavoro

# Cambridge Mathematical Innovation Research Associate (Fixed Term)UUniversity of CambridgeCB2 1TNvia University of CambridgePosted 2 Nov 2026Apply on cam.ac.uk →A position exists for a Cambridge Mathematical Innovation Research Associate (CaMIRA) in the Department of Pure Mathematics and Mathematical Statistics to work within the recently established Cambridge Hub for Innovative Mathematics in Research and Applications (CHIMiRA). The position will be appointed at either a Research Associate or a Senior Research Associate level, depending on experience.The purpose of CHIMiRA is to improve the real-world impact of research generated at the University of Cambridge by undertaking highly interdisciplinary academic projects, industrial collaborations, and consultancy engagements.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.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.Preferred start date: February 2027, with mutual agreementInterviews will likely take place in the first half of January.Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.Please indicate the contact details of three academic referees, including their email addresses, on the online application form and upload a full curriculum vitae and a description of your recent research and/or projects (not to exceed three pages). Please note that we will assume that you are happy for us to approach your referees at any stage, unless you indicate otherwise in the space provided on the form.Informal inquiries can be made by contacting Professor Sergio Bacallado de Lara at [e-mail] or Professor Sofía Villar at [e-mail] you have any queries regarding the application process, please contact us via email at [e-mail] quote reference LF51556 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.