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- Tasks: Lead innovative research in mental health and teach the next generation of psychologists.
- Company: Join the University of Southampton's School of Psychology, renowned for impactful research.
- Benefits: Flexible working hours, generous holiday allowance, and a supportive environment.
- Why this job: Make a real difference in mental health while advancing your academic career.
- Qualifications: PhD in machine learning or related field; experience in prediction modelling and participant recruitment.
- Other info: Be part of a diverse team with access to cutting-edge research facilities.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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 the Centre 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.
Responsibilities
- 50% FTE on NIHR funded project: predicting response to medication in children and adults with ADHD based on pre-treatment clinical, cognitive, and physiological characteristics; provide expertise in physiological data monitoring and prediction/decision modelling; support data collection, analysis, and dissemination.
- 50% FTE to the delivery of undergraduate and postgraduate taught education, potentially including lectures, seminars, project supervision, marking, moderation and personal academic tutoring.
Qualifications and experience
- Background in machine learning and prediction/decision modelling, applied to clinical, cognitive and/or physiological data.
- Prior experience in participant recruitment and/or experimental testing.
- PhD in machine learning and prediction/decision modelling or related discipline.
- Open to holding or achieving Advance HE Associate Fellowship to contribute to education and supervision.
About the School and environment
The post-holder will join our multidisciplinary research team in the Centre 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.
Equality, diversity and inclusion
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.
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
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Lecturer in Prediction Modelling in Mental Health employer: University of South Hampton
Contact Detail:
University of South Hampton 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 you insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of ADHD and prediction modelling. We want to see your passion for mental health research, so be ready to discuss how your expertise aligns with the NIHR project.
✨Tip Number 3
Show off your teaching skills! If you get the chance, share your approach to engaging students during the interview. We love candidates who can make complex topics accessible and exciting.
✨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 like you!
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 to highlight your experience in machine learning and prediction modelling. We want to see how your background aligns with the specific needs of the role, especially in relation to ADHD research.
Showcase Your Teaching Experience: Since this role involves teaching, don’t forget to mention any previous teaching or tutoring experience you have. We’re keen to know how you can contribute to our undergraduate and postgraduate education.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way for us to receive your details and ensures you’re considered for the position.
How to prepare for a job interview at University of South Hampton
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning and prediction modelling, especially as it relates to mental health. Be ready to discuss specific projects or research you've been involved in, particularly those that align with ADHD or physiological data monitoring.
✨Showcase Your Teaching Skills
Since the role involves teaching, prepare to talk about your teaching philosophy and any previous experience you have in delivering lectures or supervising projects. Think of examples where you've successfully engaged students or adapted your teaching methods to meet diverse learning needs.
✨Prepare for Scenario Questions
Expect questions that assess how you would handle real-world situations, such as participant recruitment or experimental testing. Have a few scenarios in mind where you faced challenges and how you overcame them, particularly in a research or educational context.
✨Emphasise Collaboration
This position is part of a multidisciplinary team, so be prepared to discuss your experience working collaboratively. Highlight any past projects where teamwork was essential, and express your enthusiasm for contributing to a supportive and inclusive research environment.
