Required Qualifications

• Registered in a PhD Programme in Epidemiology, Population Health, Public Health, Biostatistics, Demography, or related field
  
• Completed or nearing completion of PhD coursework and ready for the research phase
  
• Strong grounding in epidemiological methods and quantitative analysis (STATA, R, Python)
  
• Demonstrated interest in ageing, cognitive health, or life-course epidemiology.
  
• Ability to work independently and manage a multi-year research project.
  
• Excellent academic writing and communication skills.
  

Relevant Experience

• Prior experience in population-based survey research.
  
• Familiarity with LMIC field research environments.
  
• Experience with longitudinal data analysis.
  
• Interest in cognitive testing, mental health, or functional ageing.
  

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.
  

Doctoral research design

• Develop a doctoral protocol aligned with LOSHAK priorities; refine research questions and analytical framework; secure ethics and regulatory approvals
  

Survey & field research

• Design, pilot, and implement survey modules or sub-studies on ageing and cognition; participate in LOSHAK field operations and QA processes
  

Data management & analysis

• Curate, clean, and analyze longitudinal survey and cognitive data; apply appropriate epidemiological and statistical methods
  

Scholarly outputs

• Produce thesis chapters; prepare manuscripts; present findings at academic fora
  

Platform & team engagement

• Contribute to LOSHAK platform activities; engage with multidisciplinary teams; support junior researchers where appropriate
  

Professional development

• Build skills in ageing research, cognitive measurement, and longitudinal methods; engage in relevant training