The DELTAS Africa SSACAB II Consortium is inviting full time applications for 18 MSc, 17 PhD & 7 Post-Doctoral fellowships in Biostatistics for the 2024 academic year.
Application Deadline: 30th June 2024
Eligible Countries: African countries
About the DELTAS Africa SSACAB Award: The Sub-Saharan African Consortium for Advanced Biostatistics (SSACAB) is a consortium of six African and two northern partner institutions, and nine collaborating institutions with the University of the Witwatersrand, Johannesburg as the Lead Institution. SSACAB II has received funding through the Developing Excellence in Leadership, Training, and Science in Africa (DELTAS Africa) program. DELTAS Africa is an initiative of the Science for Africa Foundation (SFA) with funding support of Wellcome Trust and the United Kingdom’s Foreign, Commonwealth & Development Office (FCDO). The funding aims to develop and improve biostatistical skills among researchers in order to create biostatistical research nodes of excellence and a network to nurture researchers with advanced skills and expertise.
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The DELTAS Africa SSACAB II Consortium is inviting full time applications for 18 MSc, 17 PhD & 7 Post-Doctoral fellowships in Biostatistics for the 2024 academic year. Fellowships are open to candidates with a strong background in Statistics, Mathematics, Demography, & other quantitative fields. Further, competent candidates from health science fields, such as biomedical sciences, pharmacy, & medicine who may benefit from a biostatistics qualification, are also encouraged to apply. Eligible applicants should apply for a place at one of the Consortium Partner or Collaborating Institutions.
To Be Taken At (University):
- Wits University
- UMCU
- Wits Global Change Institute (GCI)
- University of Abomey- Calavi
- Moi University
- University of KwaZulu Natal
- KEMRI Wellcome Trust Research Programme
- University of Pretoria and South African Medical Research Council (SAMRC)
- London School of Hygiene and Tropical Medicine
- University Medical Center Utrecht
Type: Masters
Who can apply for DELTAS Africa SSACAB Award:
- MSc scholarships are open to candidates with a strong background in Statistics, Mathematics, Demography, and other quantitative fields. Additionally, the following are also encouraged to apply:
- (1) Competent candidates from the health science fields, such as biomedical sciences, pharmacy, and medicine who may benefit from a postgraduate course in biostatistics.
- (2) Candidates who have completed their masters’ coursework and require support with their research component.
- Eligible applicants should have applied for a place at either the partner or collaborating institutions offering postgraduate biostatistics degree programs.
- The scholarship is open to nationals of low and middle-income countries in the Sub-Saharan African region who are resident in the region as per World Bank definition: http://data.worldbank.org/about/country-and-lending-groups#Sub_Saharan_Africa
- Applicants should be under 35 years of age to qualify for the MSc program. Applicants
- Applicants must meet the admission requirements of the respective universities offering the MSc degree before applying for the fellowship
Selection Criteria: MSc scholarships will be awarded to candidates who are likely to strengthen the SSACAB II Partner and collaborating institutions either as academic staff members or through affiliation with research institutions within the Consortium. Awarded fellows will be tracked as part of the new SSACAB II alumni to increase their visibility and monitor the impact of the program.
Preferably, the candidate’s proposed research should fall under SSACAB II’s seven key research questions:
- How can data science, machine learning, deep learning or artificial intelligence (AI) algorithms be used to enhance personalised treatment for patients with communicable and non-communicable diseases in Africa?
- How will the spatial and temporal occurrence and patterns of critical diseases in Africa respond to predicted climate and environmental changes, and how will this impact public health and development outcomes?
- Can we identify the relationship between personal characteristics, environmental changes and diseases through causal modelling and structural equation modelling?
- How can we use observational data to assess interventions where clinical trials are unethical or to evaluate ongoing public health interventions?
- What methods can be used to account for missing data in health research?
- How can we use bioinformatics to enable laboratories to analyse their own omics data?
- What biostatistics methods can be used for data triangulation and synthesis of evidence?
Number of Awards: Not specified
Value of DELTAS Africa SSACAB Award: The scheme will provide full scholarships in the 2025 academic year and covers the following:
- Tuition fees and basic medical and accident insurance
- A monthly stipend to cover accommodation and living expenses
- Reasonable support for the MSc research project and supervision
- Travel costs to and from academic training institution and the host research institution
How to Apply for DELTAS Africa SSACAB Award:
The application process is two-fold:
- Applications for places should be made to the preferred host training institution(See Above).
Institutions and their contact persons are listed in Advert in Program Webpage Link below. - Separate written applications for the DELTAS Africa SSACAB II scholarship should be sent to Dr. Pascalia Munyewende: [email protected] and copied to Prof. Eustasius Musenge: [email protected]
Applications must provide the academic training institution with:
- A comprehensive curriculum vitae including relevant research and work experience
- Letter of motivation explaining why you want to pursue an MSc in biostatistics
- Certified copies of academic transcripts and degree certificates
- Evidence of acceptance or application to study Biostatistics at a partner institution in 2024 academic year
- Two confidential referee reports should be sent directly to the training institution
Visit the Program Webpage for Details
