Mathematical Innovation & Data Science Research Associate

Statistics Interest Group

Cambridge

Remote

GBP 42,000 - 54,000

Full time

16 hours ago
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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

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

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