Researcher for NAS in Automotive Data

Salary:35608.00 - 35608.00 per annum

Newcastle University is a great place to work with excellent benefits. We have a generous holiday package; plus the opportunity to buy more great pension schemes and a number of health and wellbeing initiatives to support you.

Closing Date: 02 December 2025

The Role

Are you interested in applying cutting-edge Deep Learning techniques to real-world problems The Scalable computing group are focused on applying Machine Learning/AI and visualisation to real-world problems highlighted by the fact that the National Innovation Centre for Data is a spin-out from the group.

Further details about the group can be foundhere. We have secured funding through the EPSRC Impact Acceleration Account to work with the company for an exciting project to optimise their Deep Learning pipeline using Neural Architechture Search (NAS) approaches. monitors the effectiveness of self-driving cars by collecting data about how these cars perform. However at present their data pipeline is overburdened taking too much computational time and requiring the use of expensive cloud this project we will use NAS approaches to reduce the computational burden and allow them to run on devices within the car(s).

The project will focus on five main tasks: 1) Data Collection 2) Profiling hardware for use 3) Developing NAS solutions for classification tasks 4) Developing NAS solutions for bounding box problems 5) Developing an impact case study. We are seeking a passionate highly motivated individual who is consistently methodical in their approach to research and adept at problem solving.

We are looking for someone who is naturally collaborative and focussed on producing high-quality research outputs as part of a diverse and interdisciplinary team. You should have excellent interpersonal skills with a talent for building professional working relationships with internal and external stakeholders. You may be required to design create and present group research findings to external stakeholders we are therefore looking for an individual who is innovative and possesses excellent communication skills.

The position is available on a full time fixed term basis to start immediately until 15th September 2026.

To apply for this role please provide evidence of how you meet the essential criteria required for the role outlined in The Person by uploading a letter of application along with your Curriculum Vitae (CV).

For any informal enquiries please contact Dr Stephen McGough () Reader in Machine Learnining.

Key Accountabilities

• Leading machine learning research activities within the project
• Playing a leading role in dissemination of machine learning research and impact activities for the project including publications to first tier conferences and leading journals
• Working with to develop an understanding of the core datasets available and how this can be transformed into knowledge
• Contributing to system development for the final project
• Leading and contributing to new machine learning project funding applications
• Contributing to the coordination of the School of Computing its research groups relevant to this project

The Person (Essential)

• Expertise in Neural Architecture Search for Deep Learning Essential
• Strong machine learning delivery skills
• Strong software development skills
• Demonstrable project management skills
• Excellent written and oral communication skills

Knowledge Skills and Experience

• Strong machine learning experience and proficiency in the state of the art data science languages (e.g. python R)
• Experience in developing for embedded devices (desirable)
• Experience in working in highly interdisciplinary environments
• Track record of delivering systems of machine learning for real-world applications
• Significant experience of project management and team leadership
• Internationally recognized expert in machine learning and its applications (indicated through outstanding track record) with particular expertise in Deep Learning and Neural Architecture Search
• International outstanding research and/or practice outputs in machine learning and its application

Attributes and Behaviour

• Demonstrated ability to engage with non-academic stakeholders at a local and international level
• Ability to use personal initiative and creativity to solve problems
• Team working and time management skills
• Ability and flexibility to work individually and as part of an interdisciplinary research team
• Ability to carry out an innovative and flexible approach to interdisciplinary research
• Willingness and ability to attend in-person meetings as required for the success of the project and a readiness to work flexibly by mutual arrangement

Qualifications

• PhD awarded (or nearing completion for appointment at Assistant level) in Deep Learning
• Evidence of Continuing Professional Development (CPD) (Desirable)

Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary we aim to provide a welcoming place of safety for all offering opportunities to people fleeing violence and persecution.

We are committed to being a fully inclusive university which actively recruits supports and retains colleagues from all sectors of society. We value diversity as well as celebrate support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population.

At Newcastle University we hold a GoldAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality CharterBronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme.

In addition we are a member of the Euraxess initiative supporting researchers in Europe.

Requisition ID: 28856