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Assistant professor (research) - data and ai analytics for manufacturing applications (111399-0426)

Coventry
University of Warwick
Assistant professor
€38,000 a year
Posted: 4 May
Offer description

Position Overview

The Warwick Manufacturing Group seeks a researcher to support its data‑driven AI strategy in UK manufacturing innovation.


Responsibilities

* Define requirements for real and synthetic data collection aligned with project priorities, and develop best practice guidelines.
* Develop exploitation models, including licensing, IPR, and hosting data as a tangible product.
* Facilitate cross‑cutting activities between research groups, IT, and business development to identify gaps and opportunities.


Qualifications

* PhD in Engineering, Computer Science or a related field (e.g. data science).
* Experience and a sustained track record in research methodologies for real and synthetic data collection.
* Experience delivering data‑driven impact, through AI training or other exploitation routes.
* Ability to work as part of a dynamic research team and collaborate across multiple research groups.


Required Skills & Experience

* Proven ability to engage with diverse research groups and translate data research challenges into actionable plans.
* Strong communication skills and capacity to work in an interdisciplinary environment.


Working Conditions

* Position based at the University of Warwick.
* Proof of right to work in the UK is required; sponsorship may be considered on a case‑by‑case basis.


Benefits

* Attractive pension scheme.
* 30 days holiday plus University Christmas closure.
* Generous parental/adoption leave policy.
* Onsite childcare facilities.
* Excellent learning and development opportunities.
* Flexible working arrangements.


Equality, Diversity & Inclusion

The University of Warwick is an equal opportunity employer and welcomes applications from all backgrounds. We actively encourage candidates from under‑represented groups.


Disability and Ex‑Offender Rehabilitation

* We will not discriminate against applicants who make a disclosure related to a conviction.
* Established procedures to remove bias in the shortlisting process.
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