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- Tasks: Lead innovative research in mental health and teach engaging courses to students.
- Company: Join the University of Southampton, a leader in psychology research and education.
- Benefits: Flexible working hours, generous holiday allowance, and a supportive work environment.
- Why this job: Make a real difference in mental health while shaping the next generation of researchers.
- Qualifications: PhD in machine learning or related field; experience in prediction modelling and participant recruitment.
- Other info: Be part of a diverse team with excellent facilities and career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Psychological sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom Application Deadline 21 Oct 2025 – 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The School of Psychology at the University of Southampton is making strategic academic appointments to grow our research and research-led undergraduate and postgraduate education.
We welcome applications from individuals who wish to innovate research and teaching in mental health. The successful candidate will work 50% FTE on a new NIHR funded project aiming at predicting response to medication in children and adults with attention-deficit/hyperactivity disorder (ADHD) based on pre-treatment clinical, cognitive, and physiological characteristics. They will provide expertise in physiological data monitoring and prediction/decision modelling, while supporting data collection, analysis, and dissemination throughout the project.
The lecturer will also contribute 50% FTE to the delivery of UG and PGT education which may include a range of duties including; lectures, seminars, project supervision, marking, moderation and personal academic tutoring.
We invite applications from individuals with a background in machine learning and prediction/decision modelling, as applied to clinical, cognitive and/or physiological data, as well as with prior experience in participant recruitment and/or experimental testing. They will hold a PhD in the field of machine learning and prediction/decision modelling or related discipline. Applicants are expected to hold or achieve Advance HE Associate Fellowship to effectively contribute to education and supervision.
The post-holder will join our multidisciplinary research team in theCentre for Innovation for Mental Health .. Our group uses a range of experimental methods including experimental cognitive psychology, psychopharmacology, psychophysiology and neuroscience methods to better understand the aetiology and treatment of neurodevelopmental and mental health conditions, with a particular expertise in ADHD.
The School of Psychology is recognised for world-leading, high-impact research, supported by excellent research facilities (REF2021). These include excellent clinical-academic links with NHS services, and purpose-built laboratories for neuropsychological/cognitive testing, social interaction and behavioural observation, therapeutic intervention and psychopharmacology, and child/family studies. Facilities include functional magnetic resonance imaging (fMRI), electroencephalography (EEG), neurostimulation (TMS/tDCS), psychophysiology, pain research including quantitative sensory testing (QST), eye-tracking, virtual reality and multi-sensory processing.
We are an ambitious and successful School providing a friendly, supportive and inclusive working environment located on the beautiful Highfield Campus at the University of Southampton. We recognise that employees may wish to have working patterns that fit with their caring responsibilities or work-life balance, including flexible and part-time working. Due consideration will be given to applicants who have had career breaks for reasons including maternity, paternity or adoption leave, disability or illness. The School of Psychology holds an Athena SWAN Bronze Award demonstrating our commitment to equal opportunities and gender balance in the workplace. The University of Southampton holds an Athena SWAN Silver Award.
As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.
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Lecturer in Prediction Modelling in Mental Health employer: University of Southampton
Contact Detail:
University of Southampton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Prediction Modelling in Mental Health
✨Tip Number 1
Network like a pro! Reach out to current or former staff at the University of Southampton, especially those in the School of Psychology. A friendly chat can give us insights into the culture and expectations, plus it might just get your name on their radar.
✨Tip Number 2
Prepare for the interview by diving deep into the latest research in prediction modelling and mental health. We want to see your passion and knowledge shine through, so brush up on relevant studies and be ready to discuss how your expertise aligns with their projects.
✨Tip Number 3
Showcase your teaching skills! If you have experience in delivering lectures or seminars, think about how you can demonstrate this during the interview. We love seeing candidates who can engage students and make complex topics accessible.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re always looking for innovative thinkers who can contribute to our mission in mental health research.
We think you need these skills to ace Lecturer in Prediction Modelling in Mental Health
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lecturer in Prediction Modelling role. Highlight your experience in machine learning and prediction modelling, especially as it relates to mental health. We want to see how your background aligns with our innovative research goals!
Showcase Your Passion: Let your enthusiasm for mental health research shine through! Share any relevant projects or experiences that demonstrate your commitment to improving outcomes for individuals with ADHD. We love seeing candidates who are genuinely excited about making a difference.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our official website! This ensures that we receive all your materials properly and can review them efficiently. Plus, it’s the best way to stay updated on your application status.
How to prepare for a job interview at University of Southampton
✨Know Your Stuff
Make sure you brush up on your knowledge of prediction modelling and its application in mental health. Familiarise yourself with the latest research, especially around ADHD and physiological data monitoring. This will not only help you answer questions confidently but also show your genuine interest in the field.
✨Showcase Your Teaching Skills
Since the role involves teaching, be prepared to discuss your teaching philosophy and any previous experience you have in delivering lectures or supervising projects. Think about specific examples where you've successfully engaged students or adapted your teaching methods to meet diverse learning needs.
✨Prepare for Teamwork Questions
The position is part of a multidisciplinary team, so expect questions about collaboration. Reflect on past experiences where you've worked with others, particularly in research settings. Be ready to share how you contributed to team goals and navigated any challenges.
✨Ask Insightful Questions
At the end of the interview, you'll likely have the chance to ask questions. Use this opportunity to inquire about the research culture at the University of Southampton, the specifics of the NIHR project, or how they support professional development. This shows your enthusiasm and helps you gauge if it's the right fit for you.
