PhD Fellow, Neuropsychology & Cognitive Assessment in Ageing

PhD Fellow, Neuropsychology & Cognitive Assessment in Ageing

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.

Method of application

If you are interested and qualified, kindly submit your application via the link provided below,

https://aku.taleo.net/careersection/ex/jobdetail.ftl?job=260001T0&lang=en&utm_source=Jobinkenya

 

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