Deadline: May 26, 2022.
The International Livestock Research Institute (ILRI) seeks to recruit a PhD graduate fellow to work on assessing wildlife value chain and interspecies transmission risk of zoonotic diseases using a One Health approach in Vietnam. The successful fellow will be hosted at the Animal and Human Health (AHH) program at ILRI.
ILRI works to improve food and nutritional security and reduce poverty in developing countries through research for efficient, safe and sustainable use of livestock. It is the only one of 15 CGIAR research centers dedicated entirely to animal agriculture research for the developing world.
THE PHD POSITION
ILRI is recruiting a PhD fellow to develop and implement a risk assessment framework founded on the One Health approach along wildlife meat value chains to determine the magnitude of this problem. The fellow will also analyze biological samples that were collected recently from these value chains to determine the prevalence of selected zoonotic pathogens in these chains. S/he will work with a team of researchers with a wealth of expertise on emerging infectious diseases (EIDs), food safety and antimicrobial resistance (AMR) work.
This PhD position is part of the CGIAR Research Initiative on protecting human health through a One Health approach. The aim of the initiative is to protect human health by improving the prevention, detection and control of zoonoses, foodborne diseases and antimicrobial resistance (AMR) in low- and middle-income countries. The initiative will work in seven countries: Kenya, Ethiopia, Uganda, Côte d’Ivoire, India, Bangladesh and Vietnam.
In close collaboration with ILRI supervisors, the fellow will:
- Develop a protocol for screening human and animal diseases including collection blood and serum samples for zoonotic diseases.
- Lead the sampling and process the samples mentioned above for laboratory analysis.
- Develop a risk assessment framework, focusing on risk of zoonoses spillovers from wildmeat value chain.
- Develop a survey for risk factors, knowledge, attitude and perception.
- Conduct statistical analysis and develop a disease transmission model from animal/wildlife to human.
- Draft a thesis and at least three journal publications.
- Undertake other relevant tasks as assigned by work supervisors.
- Bachelor’s degree in veterinary medicine, animal science, public health or other relevant areas and master’s degree within relevant field e.g., epidemiology, ecology and data science.
- Quantitative statistical analysis skills.
- Experience in qualitative or quantitative risk analysis is an advantage.
- Good skills in a programming/scription language (e.g., R and STATA).
- Experience with QGIS or ArcGIS.
- Willingness to travel and to spend time in the field.
- Ability to work in interdisciplinary and international team, very good interpersonal and communication skills.
- Excellent command in written and spoken English and Vietnamese.
- Proven publication record (peer-reviewed).
- Good working knowledge of MS Office packages.
- ILRI will offer a competitive stipend to cover living expenses, medical insurance cover, meet research expenses and tuition fees.
- The successful candidate will benefit from various capacity development opportunities available at ILRI and will be supervised jointly by an ILRI scientist and the university/academic supervisor.
All applications MUST include the following (applications not containing these documents will not be considered):
- A cover letter addressed to the Head of Capacity Development, ILRI expressing their interest in the fellowship position and what they can bring to the fellowship. The position title and reference number REF: GF/ILRI/AHH/04/2022 should be clearly marked on the subject line of the cover letter.
- CV including names and addresses (including telephone and email) of three referees who are knowledgeable about the candidate’s professional qualifications and work experience.
- Copies of academic qualification certificates/transcripts.
Applications must be submitted through our recruitment portal http://ilri.simplicant.com/ on or before 26 May 2022.
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