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Jobs in Singapore   »   Jobs in Singapore   »   Education / Training Job   »   Research Fellow/Senior Research Fellow (Modelling for Infectious Disease)
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Research Fellow/Senior Research Fellow (Modelling for Infectious Disease)

National University Of Singapore

National University Of Singapore company logo

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.


Job Description

Research fellow or senior research fellow position available in the Saw Swee Hock School of Public Health to join the team of the Principal Investigator, Assistant Professor Hannah Clapham. The team works on modelling of infectious diseases for public health policy in Singapore and across Asia. and collaborates with other researcher groups with SSHSPH and internationally.

The researcher will work on projects will focus on using modelling to understand antibody dynamics and the impact of immunity on disease dynamics for a range of diseases. There will be the opportunity to define and pursue independent research questions of mutual interest.

Major duties and responsibilities include:

  • undertaking literature reviews,
  • leading on analysing data using statistical and mathematical modelling techniques,
  • leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal,
  • generating research questions,
  • assisting the PI with supervision of junior team members
  • collaborating with researchers in other national and international institutions

Qualifications

The candidate must:

  • possess EITHER a PhD with topic covering mathematical modelling of biological systems or infectious disease epidemiology or related field OR PhD in computational or statistical field with an interest in the application of quantitative methods to epidemiology and public health questions
  • be an independent worker who is well- organized,
  • possess excellent written and verbal communication skills,
  • possess the ability to work effectively and lead teams of colleagues within and across organisations and from different disciplines,
  • have good proficiency in Statistical software (R),

It would be desirable for the candidate to:

  • have experience of inter-disciplinary collaborations
  • experience in working with serological data

The grade of appointment will be based on candidate’s academic qualifications and years of relevant experience.



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