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- Tasks: Lead an innovative project developing software for tracking facial expressions using machine learning.
- Company: Join Transpharmation Ltd, a pioneering neuroscience-focused research organisation.
- Benefits: Competitive salary, remote work flexibility, and expert coaching.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Make a real impact in neuroscience while advancing your skills in machine learning.
- Qualifications: Degree in Computer Science or related field; expertise in machine learning required.
The predicted salary is between 35000 - 42000 £ per year.
Post Title: Machine Learning Research Scientist in Video Movement (KTP Associate)
SBU/Department: School of Physics, Engineering and Computer Science
FTE: 1 (working 37.5 hours per week)
Duration of Contract: Fixed term for 35 months
Salary: Between £35,000pa to £42,000pa depending on skills and experience
Annual Leave: 20 days per year plus Bank Holidays
Location: College Lane, Hatfield, and Transpharmation Ltd, a virtual company with a base at London Bioscience Innovation Centre, so the role will be mainly working from home
About the programme: This position forms part of the Knowledge Transfer Partnership programme (KTP) funded by Innovate UK (IUK). A KTP is a 3-way collaboration between a graduate (or post-graduate), a business (or not for profit organisation) and a university or research institution. KTPs are designed to deliver an innovation project and bring about lasting, transformative change. As a KTP Associate, you will lead the project with full support from company and academic supervisors, while benefiting from expert coaching and mentoring with one of IUK’s highly experienced Advisers.
The University of Hertfordshire wish to recruit a dynamic, highly skilled & qualified graduate to lead and deliver a project with Transpharmation Ltd, a neuroscience focused Contract Research Organisation (CRO). This project will develop an innovative software tool that tracks behavioural and motor function changes, by analysing human facial expressions, utilising advanced machine learning techniques.
About Transpharmation Ltd: Founded in the UK in 2010, Transpharmation is a scientist-led contract research organisation (CRO) specialising in neuroscience. Transpharmation connects drug developers with cutting-edge technology platforms to accelerate the discovery of life-changing medicines.
Main duties and responsibilities
- You will be required to develop state-of-the-art facial expression recognition techniques while addressing their limitations in accurately detecting expressions in clinical populations.
- This entails a deep and thorough understanding of the available data, data sources, collection methods and the scale impacting how data is treated.
- Identifying and using suitable AI methods (e.g. Deep Neural Network) and rule-based methods (Human Intelligence) for this specific task is essential and technically challenging.
- You will also be expected to develop prototypes for individual development stages, alongside GUI development and rigorous testing.
- This will include fully documenting the programme code and creating detailed system dataflow diagrams while adhering to tight commercial timelines.
You will handle data collection and analysis and contribute on the design and organisation of the project as well as work with academic team members on peer reviewed papers and presentations. You will be expected to disseminate the results and outputs of the project and ensure the collating and writing of the final project reports are of a high standard. You will take an active part in the academic life of the School through participation in seminars and other similar events.
Skill and experience required
- Expertise of Machine Learning and programming skills are essential, Knowledge of software development and understanding of deep neural networks are also desirable.
- You will be methodical, have good attention to detail and problem-solving abilities, as well as be able to handle sensitive data with strict confidence.
- This role requires you to have knowledge of appropriate databases for the discipline and be able to conduct literature searches in the discipline using appropriate electronic resources, with an interest in applying technology in different forms.
- You will need good written communication, interpersonal and presentation skills in English, supported by a strong work ethic and self-motivation, whilst working effectively in a team setting.
Qualifications required
You will have a minimum of a degree (or higher degree) in Computer Science or a closely related discipline.
Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.
Due to the structure of KTP funding, appointees requiring a work visa will be able to commence employment only after confirmation of their having UK right to work that covers the entirety of the project. The visa position regarding sponsorship or support will be considered once the successful applicant has been determined. The successful applicant must be available to start work by 18 May 2026 due to the KTP funding requirement.
An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.
Contact Details/Informal Enquiries: Deborah Tebbutt, Accounts & Operations Manager, d.tebbutt@herts.ac.uk
Closing Date: 23 October 2025
Interview Date: To be confirmed
Reference Number: REQ000308
Date advert placed: 02 October 2025
The University of Hertfordshire is committed to promoting equality of opportunity and valuing diversity. We are a Disability Confident Employer and an Athena SWAN member institution.
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Machine Learning Research Scientist in Video Movement (KTP Associate) employer: University of Hertfordshire
Contact Detail:
University of Hertfordshire Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Research Scientist in Video Movement (KTP Associate)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your machine learning expertise. Use real-life examples from your projects to demonstrate your skills and how you can contribute to the team at Transpharmation Ltd.
✨Tip Number 3
Don’t just wait for job postings; be proactive! Research companies like Transpharmation Ltd and reach out directly to express your interest. A well-crafted email can make a lasting impression.
✨Tip Number 4
Make sure to tailor your approach for each application. Highlight your relevant experience in facial expression recognition and machine learning techniques, and don’t forget to apply through our website for the best chance!
We think you need these skills to ace Machine Learning Research Scientist in Video Movement (KTP Associate)
Some tips for your application 🫡
Tailor Your Personal Statement: Make sure your personal statement is a reflection of how your skills and experiences align with the role. Highlight your expertise in machine learning and programming, and don’t forget to mention any relevant projects or research you've done!
Show Off Your Communication Skills: Since good written communication is key for this role, ensure your application is clear and concise. Use proper grammar and structure, and make it easy for us to see how you meet the person specification.
Be Specific About Your Experience: When detailing your experience, be specific about the technologies and methods you've used. If you've worked with deep neural networks or developed software tools, give us the juicy details that showcase your capabilities!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands and helps us keep track of all applicants efficiently!
How to prepare for a job interview at University of Hertfordshire
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially those related to facial expression recognition and deep neural networks. Be ready to discuss specific techniques you've used in the past and how they can apply to the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous projects. This role is all about addressing limitations in data and algorithms, so demonstrating your analytical thinking will really impress the interviewers.
✨Get Familiar with Transpharmation Ltd
Do some research on Transpharmation Ltd and their work in neuroscience. Understanding their mission and how your role fits into their projects will show that you're genuinely interested and invested in the position.
✨Communicate Clearly and Confidently
Since you'll be working with both academic and industry professionals, practice articulating your ideas clearly. Prepare to explain technical concepts in a way that's accessible to non-experts, as good communication is key in this collaborative environment.