Research Assistant/Associate, Neuroscience and Artificial Intelligence [LKCMedicine]

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Neuroscience and Artificial Intelligence Research (Nair) group at Lee Kong Chian School of Medicine, NTU, is seeking a Research Assistant/Associate to contribute to interdisciplinary research at the intersection of neuroscience and artificial intelligence. The role is open to experimental and computational candidates, including those who wish to contribute through combined approaches to neural and behavioural data.

Key Responsibilities:

• Collect and analyse research data
• Develop and document experimental and/or computational workflows
• Contribute to presentations, grants and publications
• Participate in lab meetings and collaborative research

Key Competencies and Requirements:

• Bachelor’s (Research Assistant) or Master’s (Research Associate) degree in a relevant discipline
• Experience or strong interest in neuroscience, AI, machine learning, data analysis or experimental research
• Programming and quantitative skills are desirable
• Good written and oral communication skills, ability to work independently and collaboratively
• Interdisciplinary backgrounds are welcome

We regret to inform that only shortlisted candidates will be notified.