CLIC Research Engineer I (Psychology/Neuropsychology/Cognitive Neuroscience/Computer Science/Engineering)

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

The CLIC program is seeking one full-time Research Engineer (with potential opportunities for reappointment). The research engineer will support research activities focusing on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. Given the highly inter-disciplinary nature of the project, the research engineer will be expected to take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy.

• REDCap Development & Integration:

• Design and manage REDCap projects for behavioral, neuroimaging and other data collected as part of study.

• Develop automated pipelines to seamlessly integrate behavioral and imaging data into REDCap and export it as needed.

• Data Organization and Analysis Pipeline:

• Streamline data preprocessing through automated format conversions (e.g., CSV, JSON, NIfTI, BIDS).

• Build and deploy scalable, containerized Docker/Singularity workflows using NiPreps tools (fMRIPrep, sMRIPrep, MRIQC etc.).

• Explore and apply machine learning models (e.g., Nilearn, Scikit-learn, PyTorch) to multimodal data.

• Others:

• Collaborate with researchers, team members, PIs, and stakeholders to support interdisciplinary projects.

• Contribute to the preparation of reports, manuscripts, presentations, and grant proposals, along with data-sharing initiatives.

• Perform other administrative duties as required.

Essential requirements:

• Bachelor and/or Master's degree in Psychology, Neuropsychology, Cognitive Neuroscience, Computer Science, Engineering or a related discipline

• Prior experience in conducting adult cognitive testing and neuroimaging (fMRI, EEG)

• Prior experience with participant recruitment processes

• Prior experience and familiarity with data management protocols and ethical regulatory frameworks in Singapore

• Experience in performing general administration tasks for research projects

• Experience in producing research reports

• Good statistical knowledge and skills, including familiarity with statistical analysis software such as R and SPSS

• Good IT skills (Office®)

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Excellent time management and organizational skills. 

We regret that only shortlisted candidates will be notified.

Please apply by uploading your CV and academic transcript to NTU job portal link.

If you have any questions, please feel free to reach out to us at clic@ntu.edu.sg.