Data science Work, Jobs in Farnsfield, Ntt (with Salaries)

Research Assistant in machine learning (Fixed Term)
University of Nottingham —Nottingham
- £32,080 a year
- Master's degree
- Machine learning
- Communication skills
7d
Doctoral Fellow - Biological Synthetic Data Generation
Loughborough University —Loughborough
- £35,608 - £46,049 a year
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- Data analysis skills
3d

Discover related jobs

Based on your search for data science jobs.

Junior Data Analyst
HIREDIN —Sheffield
Support ad-hoc analysis requests for various departments (sales, marketing, finance, operations, etc.). Maintain and update databases, ensuring data integrity…
£30,420.00 - £60,285.26 a year
Quick apply
1d
Accounts & Data Analyst
Footprint Recycling —Huddersfield
Releasing purchase and sales invoices to Xero; reconciliation sign-off. *Dynamics 365: data entry, reconciliation, product line management*.
£32,000 a year
Quick apply

I want to receive the latest job alerts for data science in farnsfield, ntt

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

data science jobs near farnsfield, ntt

Research Assistant jobs in Nottingham

Clinical Fellow Gastroenterology jobs in London

Clinical Fellow Dermatology jobs in England

Research Fellow jobs in Oxford

Research Assistant jobs in University Of Edinburgh

Research Assistant jobs in Nuneaton

Retail Assistant jobs in Luton

Clinical Research jobs in London

Research Assistant jobs in Croydon Cr9

Research Assistant jobs in Portsmouth

Research Assistant jobs in West Yorkshire

Research Assistant in machine learning (Fixed Term)

University of Nottingham -
Nottingham

Apply Now

Job details

Fixed term contract
£32,080 a year
7 days ago

Qualifications

Master's degree
Machine learning
Physics
Communication skills

Full job description

Area
Physics & Astronomy

Location
University Park

Salary
£32,080 per annum, depending on skills and experience.

Closing Date
Saturday 15 August 2026

Reference
SCI1905626

We are looking to appoint a motivated researcher to conduct computational research in the field of machine learning, specifically at the interface of large language models and statistical mechanics, with applications to scientific areas including the interface of statistical physics and biomaterials, under the EPSRC programme grant “Designing bio-instructive materials for translation ready medical devices."

The role holder will be an integral part of an interdisciplinary team of researchers covering a broad range of topics including statistical physics, machine learning and biomaterials, and based in the Condensed Matter Theory group of the School of Physics and Astronomy. We seek a motivated, skilled and independent researcher to complement our team.

The candidate will carry out the following duties:

Plan and conduct research using recognized approaches, methodologies and techniques.
Manage own research activity and resolve problems, if required, in meeting research objectives and deadlines.
Write up research work for publication.
Contribute to the dissemination of research results at conferences.
Build relationships with both internal and external contacts in order to exchange information, to form relationships for future collaborations, and to identify potential opportunities for collaboration.
Collaborate with academic colleagues on areas of shared interest.
Provide support, guidance and supervision to other members of the research group, where appropriate, in own areas of expertise.

We are looking for a motivated, skilled and highly independent researcher who can evidence:

A minimum of an MSc in machine learning or equivalent in relevant subject area.

A strong track record in:

machine learning and machine learning engineering
software engineering and development

Proven Experience in:

research in Large Language Models
rare event analysis
Excellent oral and written communication skills, including the ability to communicate with clarity on complex information.
The ability to build relationships and collaborate with others.
The ability to creatively apply relevant research approaches, models, techniques and methods.

This full-time position (36.25 hours per week) is available for the earliest start of 01/09/26 for a duration of one year.

Informal enquiries may be addressed to Prof. Juan P. Garrahan ([email protected]). Please note that applications sent directly to this email address will not be accepted.

Apply Now

Refine Your Search

data science jobs in farnsfield, ntt

Research Assistant in machine learning (Fixed Term)

Doctoral Fellow - Biological Synthetic Data Generation

Discover related jobs

I want to receive the latest job alerts for data science in farnsfield, ntt

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected