The world of automatic learning research (KTP Associa) at the University of Herfordshire

The world of automatic learning research (KTP Associa) at the University of Herfordshire
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The world of automatic learning research (KTP Associa) at the University of Herfordshire

FTE: 1 (Work 37.5 hours per week)

Duration of the contract: A specific period for 35 months

annual leave: 20 days a year in addition to bank holidays

location: College Lane, Hatfield and Transpharmation Ltd, a virtual company with a base at the London Innovation Center in BIOSCINCE, so the role will work mainly from home.

About the program: This position is part of the KTP, funded by the United Kingdom Innovation (IUK). KTP is a triple cooperation between graduates (or graduate studies), business (or not for profit) and a university institution or research institution.

The University of Hirtfserire wants to employ a highly skilled graduate and qualified to lead and deliver a project with Transpharmation Ltd, a contract research organization that focuses on neuroscience (CRO).

Please visit: https://www.transpharmation.com/ For more information.

Main duties and responsibilities

You will be asked to develop the techniques of identifying the expression of the face on the latest style while treating its restrictions in the discovery of expressions in the clinical population. This requires a profound and comprehensive understanding of available data, data sources, collection methods and scale that affects how data is treated. Determining and using appropriate artificial intelligence methods (such as the deep nerve network) and the rules based on this specific task of this task are necessary and technical. It is also expected to develop preliminary models for individual development stages, as well as developing the graphic user interface and strict tests. This will include documenting the entire program code and creating detailed plans for system data while adhering to narrow commercial timetables.

The required skill and experience

The experience of automated learning skills and the necessary programming, and the knowledge of the development of software and the understanding of deep nerve networks is also desirable. You will be systematically, you have a good interest in details and problem -solving capabilities, in addition to being able to handle sensitive data with strict confidence.

This role requires that you have knowledge of the appropriate data rules for discipline and be able to conduct research operations in literature in discipline using appropriate electronic resources, with technology interest in various forms. You will need a good written connection, skills dealing with others and presentation in the English language, with the support of strong work ethics and self -motivation, while working effectively in preparing the team.

Required qualifications

You will have a degree not less than a degree (or higher) in computer science or closely related discipline.

Please offer a job description and person’s specifications for a full list of basic duties and standards. Click the “App” button. Please attach a personal statement that clearly shows how your skills and experience are identical to a person’s specifications.

Interior applicants -Please make sure you progress through the employee’s self -service portal.

Due to the KTP financing structure, those who need a work visa will not be able to start work until after their right to the UK is confirmed to work that covers the overall project. Care or support visa position will be considered once the successful applicant is determined. The successful applicant must be available to start work by May 18, 2026 due to KTP financing requirements.

A date for this role may require a certificate of academic technology approval plan (ATAS).

Contact details/informal inquiries: Deborah Tebot, Director of Accounts and Operations, D.TEBBUTTTTETS.AC.UK

ClosureOctober 23, 2025

Date of the interview: To be confirmed

https://www.jobs.ac.uk/job/DOX403/machine-learning-research-scientist-in-video-movement-ktp-associate/

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