Postdoctoral Fellow (One Year Renewable) at Aga Khan University (AKU)

Key Roles and Responsibilities

• Lead and conduct research incorporating structural brain imaging, wearable technology data collection, and advanced data analysis.
• Design and execute research protocols and analysis pipelines in collaboration with an interdisciplinary team, ensuring scientific integrity and ethical compliance.
• Develop innovative computational methods/models for neuroimaging and wearable sensor data analysis.
• Author and co-author research papers for publication in top-tier journals and present findings at international conferences.
• Assist in grant writing and project reporting to funding organizations.
• Supervise and mentor graduate students and junior researchers, guiding them in research methodologies, data analysis, and scientific writing.
• Engage with community stakeholders in Nairobi to align research with local health priorities and facilitate translation of research findings into practical health solutions.

Relevant Experience and Qualifications

• Doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, Cognitive Science, Neuropsychology, Psychology, Medicine, or a related field (Candidates with a Master’s degree or who are in the process of completing a doctoral degree may be considered subject to their having sufficient experience)
• Demonstrable experience in neuroimaging data analysis (MRI, fMRI) and/or wearable sensor data, with strong computational skills including proficiency in R, MATLAB, or Python.
• Verifiable experience in statistics and computational modeling.
• Track record of publications in peer-reviewed journals and conference presentations.
• Excellent verbal and written communication skills in English; knowledge of Swahili or other local languages is advantageous.
• Experience in multicultural research environments, particularly in Sub-Saharan Africa is desirable.
• An interest in community engagement and public health impact.
• Strong ability to work in a multidisciplinary team as well as independently.
• Exceptional organizational skills and a commitment to conducting high-quality research.