PhD Fellow, Neuropsychology Cognitive Assessment in Ageing
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Industry Healthcare / Medical Founded 1983 Type Private Website http://www.aku.edu Address 3rd Parklands Avenue, Limuru Road, Nairobi, Kenya
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Key Responsibilities
Doctoral research design
- Develop a PhD protocol focused on neurocognitive measurement; define constructs, instruments, and validation framework; secure ethics and regulatory approvals
Test development & adaptation
- Lead adaptation, translation, and cultural validation of neurocognitive instruments; design test batteries for ageing populations
Field deployment & quality assurance
- Train and supervise assessors; embed cognitive testing into LOSHAK field workflows; implement quality assurance systems
Psychometric analysis & longitudinal modelling
- Conduct reliability, validity, and measurement-invariance analyses; model cognitive trajectories over time
Scholarly outputs
- Produce thesis chapters; prepare manuscripts; disseminate findings to scientific and policy audiences
Platform & team engagement
- Contribute to LOSHAK cognitive assessment platform; engage multidisciplinary teams (epidemiology, psychiatry, data science)
Professional development
- Build expertise in neuropsychological methods, psychometrics, and longitudinal analysis; complete relevant training
Required Qualifications
- Registered in a PhD Programme in Neuropsychology, Psychology, Cognitive Neuroscience, Public Health, or related field.
- Completed or nearing completion of PhD coursework and ready for the research phase.
- Strong grounding in psychological measurement and quantitative methods (STATA, R, Python).
- Demonstrated interest in ageing, cognition, or mental health.
- Ability to work independently and manage a multi-year research project.
- Excellent academic writing and communication skills.
Relevant Experience
- Experience with cognitive or psychological testing.
- Familiarity with psychometric methods (e.g., reliability, factor analysis, IRT).
- Exposure to population-based or field research.
- Interest in cross-cultural measurement and LMIC research contexts.
Personal Characteristics & Behaviours
- Demonstrates high scientific integrity and attention to detail.
- Strong analytical and problem‑solving skills.
- Strong communication skills and collaboration.
- Culturally sensitive and adaptable in diverse environments.
- Commitment to learning and Professional Development.