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- Tasks: Assist in developing AI tools to analyse mental health data and improve patient care.
- Company: Join a collaborative team at the forefront of mental health research and technology.
- Benefits: Gain hands-on experience, flexible hours, and contribute to meaningful projects.
- Why this job: Make a real difference in mental health using cutting-edge AI technologies.
- Qualifications: Proven Python coding skills; experience with machine learning is a plus.
- Other info: Exciting opportunity for growth in a dynamic research environment.
The goal of this activity is to contribute to the development of a proof-of-concept study seeking to ascertain the feasibility of using generalist large-language-models (LLMs; ChatGPT-like) to identify symptoms and features of psychosis in clinical notes.
The project is part of an accelerator program which involves researchers from the School of Medicine and the School of Computer Science and Informatics.
The main task of the research assistant would be to assist in prompt engineering and software development for mental health information processing using AI approaches.
Person Specification
We are looking for a person with proven coding skills in Python to contribute to this study. In particular, experience with machine learning and language models are desired.
Desirable but not essential criteria would be a background in computer sciences or psychology, as well as interest in mental health research.
Please state your relevant skills and experience in your application.
About The Company
Important information for working through Jobshop:
Please note, this advert may come down early if there are a high volume of applications. If you are interested in this role, we recommend you apply as soon as possible.
All students who undertake work through Jobshop must complete a Right to Work check before starting any paid work or work-related training. We will contact successful candidates regarding this. To f ind out more about Right to Work please contact jobshopforms@cardiff.ac.uk.
Students are eligible to work through Jobshop for 3-months post their end of studies date ( usually noted on their student ID/ proof of enrolment letter), providing all Right to Work documents (such as visas) are still in date. Please o nly apply if you are eligible to work for the entirety of the role .
If you are on an hour s- limited visa, it is your responsibility to ensure you do not exceed the working- hour restriction Monday – Sunday , each week . This is a legal restriction that must be adhered to for work completed both within and outside of Jobshop.
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Research Assistant for mental health information processing (NLP/LLM prompt engineering) employer: Cardiff Union Services Ltd
Contact Detail:
Cardiff Union Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant for mental health information processing (NLP/LLM prompt engineering)
✨Tip Number 1
Get your coding skills ready! Brush up on Python and any machine learning concepts you know. We want to see you shine in those areas during interviews.
✨Tip Number 2
Show your passion for mental health research! Be prepared to discuss why this field matters to you and how your skills can contribute to the project. We love seeing genuine interest!
✨Tip Number 3
Network like a pro! Reach out to people in the field, attend relevant events, and connect with researchers from the School of Medicine and Computer Science. We might even have some opportunities listed on our website!
✨Tip Number 4
Apply ASAP! With high competition, it’s crucial to get your application in early. Don’t wait around; head over to our website and submit your application today!
We think you need these skills to ace Research Assistant for mental health information processing (NLP/LLM prompt engineering)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding skills in Python and any experience you have with machine learning or language models. We want to see how your background fits into the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your interest in mental health research and how it aligns with our project goals. It’ll show us you’re genuinely interested!
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 relevant experience and skills.
Apply Early!: Don’t wait around! If you’re keen on this role, apply through our website as soon as possible. We might take down the advert early if we get a lot of applications, so get in there quick!
How to prepare for a job interview at Cardiff Union Services Ltd
✨Show Off Your Coding Skills
Make sure to highlight your Python coding skills during the interview. Be ready to discuss specific projects or experiences where you've used Python, especially in relation to machine learning or language models. This will demonstrate your technical proficiency and relevance to the role.
✨Understand the Project's Goals
Familiarise yourself with the project’s aim of using LLMs to identify symptoms of psychosis. Research similar studies or applications of AI in mental health. This knowledge will help you engage in meaningful discussions and show your genuine interest in the field.
✨Prepare for Prompt Engineering Questions
Since prompt engineering is a key part of the role, be prepared to discuss how you would approach creating effective prompts for LLMs. Think about examples from your past experience or hypothetical scenarios that showcase your problem-solving skills in this area.
✨Express Your Interest in Mental Health Research
Even if your background isn't in psychology, convey your passion for mental health research. Share any relevant experiences or motivations that led you to apply for this position. This personal touch can make a big difference in how interviewers perceive your fit for the team.
