Research Fellow (CLIC)

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.

For more details, please view: https://www.cares.cam.ac.uk/research/clic/

We are looking for a Research Fellow to support research activities on neuroimaging, and training-related brain changes in adults. The role will focus on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy. We anticipate the successful candidate to perform within a dynamic interdisciplinary research environment working collaboratively with project team members.

Key Responsibilities:

• Design and conduct experiments on neuropersonalised training using EEG and non-invasive brain stimulation methods

• Develop and update training manuals and protocols, perform version maintenance

• Oversight of compliance with relevant regulations and governance arrangements for the portfolio of studies, including processes for ensuring safety reporting and data quality

• Oversee research ethics requirements, including updating and management of IRB documents

• Develop pipelines for updating and reporting of project progress

• Develop best practices of overall project data management and ensure implementation of agreed quality control and assurance systems to ensure a consistent and standardised approach across studies and teams

• Conduct analysis of data and summarise research findings

• Conduct literature reviews for publications and research briefings

• Assist with preparing academic publications (e.g., journal, conference, book)

• Contribute to the production of research reports

• Contribute to the dissemination of research findings

• Perform other research-related tasks as required by the Principal Investigators

Job Requirements:

• Doctorate (PhD) degree in experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, or related fields

• Experience with EEG acquisition and analysis, as well as non-invasive brain stimulation techniques

• Experience with conducting behavioral experiments in neuropsychology or cognitive psychology

• Good statistical knowledge and skills, and familiarity with statistical packages

• Good programming and IT skills (i.e., Matlab, Python)

• Strong interpersonal and team building skills

• Excellent communication skills

• Demonstrable managerial and leadership skills, with ability to motivate staff

• Excellent organizational skills and able to work within given deadlines

• Familiarity with image data analysis tools such as SPM, FSL, AFNI, DSIStudio, Matlab, Python etc

• Prior experience with academic publication processes and reports

• Experience of clinical trial project management

• Data management experience with REDCap

• Experience of target setting and performance review

• Self-directed learner who effectively picks up relevant skills as needed

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