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- Tasks: Assist in EEG data acquisition and preprocessing for a groundbreaking mental health research project.
- Company: Join UCL's Division of Psychiatry, a leader in mental health research and education.
- Benefits: Enjoy 41 days holiday, a pension scheme, gym access, and more perks!
- Why this job: Be part of innovative research that could transform mental health treatments and practices.
- Qualifications: Bachelor's or Master's in cognitive neuroscience or related field; EEG experience required.
- Other info: International applicants welcome; role offers sponsorship eligibility.
The predicted salary is between 30000 - 42000 £ per year.
The UCL Division of Psychiatry is within the Faculty of Brain Sciences and a centre of excellence in Mental Health research. Our aim is to contribute to the improvement of mental health through research and education. We address clinical problems to achieve benefits for patients and public health, using insights from basic science. We also deliver innovative teaching, relevant to clinical practice, which is informed by our research.
We are looking for one Research Assistant for the RELMED project, which is a Wellcome-Trust funded research project that aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments. RELMED is a unique opportunity to contribute to fundamental research in the field of computational psychiatry. It will combine rigorous clinical-trial and computational psychiatry methods. It will involve two large-scale clinical trials in primary care, and as such is the largest-scale attempt at establishing causal evidence regarding computational mechanisms of clinical treatments.
The Research Assistant will assist the postdoctoral research fellows with EEG data acquisition and preprocessing. They will work closely with the Chief Investigator, Prof. Quentin Huys, who will provide line management and supervision, and with Co-Investigators including Prof. Michael Browning (Oxford), Prof. Ray Dolan (UCL), Prof. David Kessler (Bristol), Prof. Richard Morriss (Nottingham), Dr. Neil Nixon (Nottingham), Prof. Nicola Wilson (Bristol), and Prof. Stuart Watson (Newcastle).
The RELMED study is currently in the setup phase. It consists of two randomized clinical trials to be run in sequence. The first trial will start mid-2024 to 2026, followed by a second trial from mid-2027 to mid-2029. Each of the two RCTs will involve randomization of 516 participants to one of three treatment arms, and repeat behavioral neurocognitive and EEG testing.
You will have a Bachelor’s degree or Master’s degree in cognitive neuroscience, psychology, computational neuroscience, or a related area, coupled with experience of conducting EEG experiments. Experience of EEG data processing, and good communication, interpersonal, and problem-solving skills are also essential for this role.
This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.
The Research Assistant positions are funded at Grade 6B, Spine Point 25. Initial appointments will be for two years, and subject to renewal. Any offer of employment will be subject to a Disclosure and Barring Service (DBS) check.
As well as the exciting opportunities this role presents, we also offer some great benefits:
- 41 Days holiday (including 27 days annual leave, 8 bank holidays, and 6 closure days)
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- On-site gym
- Enhanced maternity, paternity, and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce, including people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
The Athena SWAN Charter recognises commitment to advancing women’s careers in science, technology, engineering, maths and medicine (STEMM) employment in academia and the Division is delighted to have an Athena Swan Silver Award since 2022. All staff are invited to contribute to EDI initiatives within the Division to contribute to improving working conditions and opportunities for all. Mentoring is a crucial part of supporting career progression and mentoring schemes are available for staff in the Division.
RESEARCH ASSISTANT FOR RELMED STUDY employer: Applied Computational Psychiatry Lab
Contact Detail:
Applied Computational Psychiatry Lab Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land RESEARCH ASSISTANT FOR RELMED STUDY
✨Tip Number 1
Familiarise yourself with the RELMED project and its objectives. Understanding the specific goals of the research, especially regarding computational mechanisms in antidepressant treatments, will help you engage more effectively during interviews and discussions.
✨Tip Number 2
Network with professionals in the field of cognitive neuroscience and psychiatry. Attend relevant conferences or seminars where you might meet researchers involved in similar studies. This can provide insights into the role and potentially lead to valuable connections.
✨Tip Number 3
Brush up on your EEG data processing skills. Since this role involves EEG data acquisition and preprocessing, being able to demonstrate your proficiency in these areas will set you apart from other candidates.
✨Tip Number 4
Prepare thoughtful questions about the RELMED study and its methodologies. Showing genuine interest and curiosity about the research will not only impress the interviewers but also demonstrate your commitment to contributing to the project.
We think you need these skills to ace RESEARCH ASSISTANT FOR RELMED STUDY
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Research Assistant position. Highlight your relevant experience in EEG experiments and computational neuroscience.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the role. Emphasise your educational background, any relevant projects, and specific skills related to EEG data processing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for mental health research and your understanding of the RELMED project. Mention how your background makes you a suitable candidate for this unique opportunity.
Proofread Your Application: Before submitting, carefully proofread your application materials for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Applied Computational Psychiatry Lab
✨Know Your Research
Familiarise yourself with the RELMED project and its objectives. Understand the significance of computational psychiatry and how EEG data plays a role in the research. This will show your genuine interest and help you engage in meaningful discussions during the interview.
✨Highlight Relevant Experience
Be prepared to discuss your background in cognitive neuroscience, psychology, or computational neuroscience. Share specific examples of your experience with EEG experiments and data processing, as this is crucial for the role.
✨Demonstrate Communication Skills
Since the role involves working closely with various researchers, emphasise your communication and interpersonal skills. Prepare to give examples of how you've effectively collaborated in past projects or studies.
✨Show Enthusiasm for Mental Health Research
Express your passion for mental health and the impact of research on public health. Discuss any relevant projects or initiatives you've been involved in that align with UCL's mission to improve mental health through research and education.
