PhD Position in Horizon-MSCA Doctoral Network ‘AlignAI’: The DTU Compute is offering a PhD position focusing on the responsible and innovative use of Large Language Models (LLMs) and Generative AI (GenAI) in the mental health context. This research will be conducted under the prestigious Horizon-MSCA AlignAI network, enabling candidates to work closely with leading experts and contribute to advancements in AI applications in health care.
PhD Position in Computer Science and Statistics for the Horizon-MSCA Doctoral Network ‘AlignAI’
Designation
PhD Student in Computer Science and Statistics
| Field | Details |
|---|---|
| Research Area | Use of LLMs and GenAI in Mental Health |
| Location | DTU Compute, Kgs. Lyngby, Denmark |
| Eligibility | Master’s degree in relevant fields, no prior PhD |
| Application Deadline | December 31, 2024, 23:59 (Danish time) |
Research Area
The PhD candidate will focus on the integration of LLMs in the Positive Mental Health sector to develop AI mental health assistants. These tools are designed to assist mental health workers, patients, and caregivers by summarizing medical articles, facilitating journal notes, and supporting treatment planning.
Eligibility/Qualification
- A master’s degree (or equivalent) in Computer Science, Data Science, Statistics, Machine Learning, AI, or a related field.
- Experience with LLMs and GenAI, with proven independent research capability.
- Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data analysis tools (e.g., R, MATLAB).
- Interest in the ethical implications of AI, including the applications in mental health.
- Excellent communication, collaboration, and analytical skills.
Description
The selected candidate will:
- Conduct research on LLM alignment for mental health applications.
- Collaborate in structured training programs and engage in secondments with Child and Adolescent Mental Health Services (CAMHS) and Datacation.
- Contribute to academic publications and participate in conferences at both national and international levels.
- Work under the supervision of experienced faculty members and collaborate with international partners.
How to Apply
Interested applicants must submit their applications as a single PDF file, which should include:
- A motivation letter (maximum two pages)
- Curriculum vitae
- Contact details for two references
- Grade transcripts and BSc/MSc diploma (in English)
- Additional documents, like letters of recommendation or scientific publications, if applicable.
Applications should be made online by following the application link here.
Last Date to Apply
December 31, 2024, 23:59 (Danish time)
For further inquiries, candidates can reach out to:
- Sneha Das at sned@dtu.dk
- Line Clemmensen at lkhc@dtu.dk
This position provides an exciting opportunity for those looking to contribute to the intersection of AI technology and mental health while gaining valuable research experience in an international environment.
