At a Glance
- Tasks: Conduct groundbreaking research using machine learning to enhance child mental health.
- Company: University of Birmingham, renowned for its innovative research in computer science and psychology.
- Benefits: Fully funded PhD with a stipend of £19,237 and covered fees.
- Other info: Collaborate with experts and gain hands-on experience in clinical settings.
- Why this job: Make a real difference in children's lives while advancing your academic career.
- Qualifications: Strong quantitative skills in computer science, maths, or related fields; programming experience required.
AI for good: Using machine learning to improve psychological wellbeing for children and adolescents with BERRI.
University of Birmingham, School of Computer Science.
This PhD project aims to validate the efficacy of the BERRI tool in identifying early neurodevelopmental and mental health markers in children and adolescents, potentially predictive of adverse outcomes later in life. By leveraging machine learning techniques, the research seeks to elucidate the trajectory of symptom profiles over time and explore strategies for effectively mitigating identified risks across clinical, educational, and community settings.
You will spend at least one day per week within the clinical psychology team at BERRI, whilst the rest of your time will be university-based and focused on the research strands that will lead to papers for publication and your PhD thesis.
This is a four year, fully funded opportunity with a stipend starting at £19,237 (this is what you take home, it isn't taxed like a salary) plus all the fees are covered.
Note: This isn't designed to be a career step towards clinical psychology. This is a computer science PhD, so it requires someone with strong quantitative skills (e.g. a graduate in computer science, maths, statistics, physics or engineering), who can use advanced statistical software and preferably already program in at least one language.
Fully funded 4 year PhD - Machine Learning and child mental health - Birmingham employer: ClinPsy
The University of Birmingham offers an exceptional opportunity for those passionate about using machine learning to make a positive social impact, particularly in the realm of child mental health. With a fully funded four-year PhD programme, students benefit from a supportive academic environment that fosters collaboration between computer science and psychology, alongside access to cutting-edge research facilities. The work culture prioritises innovation and social responsibility, providing ample opportunities for personal and professional growth while contributing to meaningful research that can change lives.
StudySmarter Expert Advice🤫
We think this is how you could land Fully funded 4 year PhD - Machine Learning and child mental health - Birmingham
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like ClinPsy.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including ClinPsy, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like ClinPsy.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including ClinPsy, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Fully funded 4 year PhD - Machine Learning and child mental health - Birmingham
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so ClinPsy can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at ClinPsy and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at ClinPsy
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells ClinPsy that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into ClinPsy’s culture and workflow.
