Connect with us

General

IDI Job Advert: PhD Student fellow (2)

Published

on

Call for applications: Fully Funded PhD Fellowship Opportunities for Females at Makerere University

Empowering Uganda’s Women in Health Data Science: Identifying Barriers, Bridging Knowledge and Innovation for Tangible Impact: She Data Science (SHEDS)

Call open:   May 13th, 2024   

Call closes: June 20th, 2024    

Proposed start: September 2nd, 2024

The She Data Science (SHEDS) project is pleased to invite suitable applications from females for two fully funded PhD fellowships for the year 2024. SHEDS is a collaborative initiative between the African center of Excellence in Bioinformatics and Data Intensive Sciences(ACE), Infectious Diseases Institute (IDI), Makerere University, Kampala, Uganda and the Institute of Global Health Sciences (IGHS) at the University of California San Francisco (­­­­UCSF), USA.

About the SHEDS program

The increasing adoption of technologies like mobile phones, high throughput genomic sequencing, IoT and electronic health records is accelerating the buildup of an avalanche of data: clinical, genomic, epidemiological, climate-related and social/behavioral data. These growing volumes and complexity of data, render the rapidly expanding field of “Big Data” analysis and interpretation essential to improving health and economic outcomes.

Data Science (DS­­­), which encapsulates Machine Learning and Artificial Intelligence (AI) provides a pathway to the leveraging and enhancement of these data into meaningful and actionable information. However, the highly technical nature of DS as well its powerful potential, simultaneously pause the risk of ‘leaving behind’ sections of the population that have already been disadvantaged. In Uganda in particular, the high gender disparity within STEM fields means that women are more likely to be left behind, resulting in the unintended consequence of DS further widening the gender gap in STEM.

This program is thus going to target the training and advancement of Ugandan women in data science and (or) bioinformatics. It achieves this goal through three critical areas: 1) Skilling women in data science / bioinformatics methods and techniques, 2) identify barriers to women in STEM, Data Science and bioinformatics 3) Providing a bridge to help trainees translate their data science skills into biomedical and public health practice.

Benefits of the program

  • There are two fully funded PhD fellowships that will provide tuition and a stipend for a duration of upto 3 years.
  • Spend up to 3 months at UCSF, USA in a data science related research lab with a paid economy class return ticket, accommodation and stipend for stay at UCSF.
  • Institutional IRB fees for PhD project.
  • UNCST fees for PhD project.
  • Open Access Publication fees for up to 2 publications.
  • World class health data science mentorship from some of the best mentors in the field.

Research concept

The research concept should be one that employs data science, mathematical and (or) bioinformatics to any of the following areas: a) Antimicrobial resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives; b) Human Genomics including the role of repeats in the human genome; c) cancer including cancer genomics and genomics data science; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.

Submission

Submit the following documents as a single pdf file

  1. Certified copies of relevant academic documents.
  2. Two reference letters from academic referees.
  3. Statement of motivation (max 1500 words).
  4. Your idea for the research project (single page).
  5. An updated CV (max 4 pages).

Application deadline: June 20th 2024

NB:

  • This is a full-time PhD fellowship. It is expected that the intending applicant is not involved in any other form of study or employment.
  • Only successful candidates will be notified.

Key Responsibilities

  1. Fully develop a research concept that employs data science, mathematical and (or) bioinformatics to any of the following areas: a) Antimicrobial resistance (AMR) including the design of antimicrobial drug combination therapies, identifying One Health AMR transmission pathways, and utilizing data science methodologies to guide antimicrobial stewardship initiatives; b) Human Genomics including the role of repeats in the human genome; c) cancer including cancer genomics and genomics data science; and d) Natural Language Processing (NLP) and (or) generative AI solutions for health problems.
  2. Successfully defend your research proposal
  3. Successfully obtain ethics approval from Institutional Review Board (IRB) and National approval from Uganda National Council for Science & Technology (UNCST)
  4. Successfully complete placement at a research lab at UCSF
  5. Present your work at scientific workshops, conferences and research forum
  6. Successfully defend your PhD thesis
  7. Write at least 2 peer reviewed scientific publications in high impact journals by the end of the PhD
  8. Participate in ACE research groups relevant to your area of study.

More details

Job Code: PhDACE002
No of Position: 2
Station: Kampala
Classification: Part-time
Duration: 3 Years
Reports to: BIOINFORMATICS SCIENTIST
Posted Date: 2024-05-07 07:21:02.000
Closing Date: 2024-06-20 10:38:00.000

View on IDI/Apply Now

Mak Editor

General

Special Exam Results -Diploma in Performing Arts 2025/26

Published

on

The results for the 2025/2026 special entry examination for the Diploma in Performing Arts held on Saturday 17th May, 2025. Candidates who scored a final mark of 50% and above passed the Examination and have been recommended to the university’s Admissions Committee for consideration.

Mak Editor

Continue Reading

General

Mature Age Scheme Exam Results for 2025/2026

Published

on

The Office of Academic Registrar, Makerere University has released full results for the Mature Age Entry Scheme Examinations for the Academic Year 2025/2026 held on Saturday 14th December, 2024.

The Candidates who scored a final mark of 50% and above passed the examination and have been recommended by the Pre-Entry & Mature Age Committee to the University’s Admissions Board for Consideration.

The Aptitude Exam  Results for 2025/2026 Academic Year released in February 2025 can be found here.

Mak Editor

Continue Reading

General

Call for Application: 2025 SNRM session 4 Summer School

Published

on

Participants in focused group discussions. Leiden-Delft-Erasmus East Africa Research Network (LEARN) in collaboration with the Urban Action Lab at Makerere University a workshop to deliberate strategies for mitigating the impacts of climate change in urban centres in the East African Region, Theme: “Resilient Urban Futures: Adapting Livelihoods to Climate Change”, 4th-5th September 2024, School of Public Health Auditorium, Kampala Uganda.

Context:
Natural resources in Africa are being depleted at an alarming rate due to several factors, including unsustainable human activities, climate change, and population growth. A primary condition of sustainable development is to ensure that the pressures do not exceed the environmental limits, and that demand for the resources does not exceed levels that can be sustainably provided by nature. Therefore, there is a pressing need for transformative, systems-thinking approaches and tools that can tackle the diverse challenges facing these systems. In Africa, this need is compounded by a lack of data and monitoring, which significantly hinders sustainable decision-making.

Investing in young scientists who are committed to take lead in sustainable management of Africa’s natural resources is very important. Capacity building of young scientists will enhance their knowledge and skill on sustainable natural resources and their involvement for implementation of the sustainable development goals (SDG’s) in Africa. To this effect, SNRM summer schools have been implemented in three sessions in 2019, 2020, and 2022 with support from Volkswagen Foundation; to build a critical mass of skilled and competent young natural resource scientists in Africa through training, capacity building and mentorship. Session 4 (2025) will target competent young scientists (MSc and PhD students) in Africa and Germany to further develop their knowledge and skills in systems thinking, advanced data collection and analysis, and application of emerging digital technologies such as Artificial Intelligence (AI), machine learning (ML), internet of things (IoT), and embracing transdisciplinary approaches. In addition, we include an ideation workshop where students can work on real problems to come up with solutions for sustainable transformations in natural resource use.

Organizers: Leibniz Universität – Hannover (Germany), University of Antananarivo, University of Abomey Calavi (Benin), Makerere University (Uganda), University of Ghana (Ghana), University of Parakou (Benin), The Technical University of Kenya, with financial support from the Volkswagen Foundation (Germany).

Venue and dates: Nairobi, Kenya, 16-28 November 2025

Target: MSc and PhD students, early in the program of less than 35 years of age from any university/research institution in either sub-Saharan Africa or Germany with an interest in natural resources management.

Participants and Scholarships: The course is fully funded and open to 20 MSc and PhD students from Africa, and 5 from Germany. Funding will cover the costs of air ticket, accommodation, meals, visa, and transportation. However, participants will cover the cost of their travel health insurance.

Topics

SNRM Summer School Session 4: Transformative pathways in biodiversity management and conservation.
This summer school is designed to deliver four modules over a two-week period. The modules are designed to enable the students to acquire new ways of designing data collection protocols and analysis for transformative sustainable natural resources management.

Module 4.1: Data collection I
Skills in data collection for a transformative and sustainable management of natural resources (water, wildlife, forest, land, livestock, crops) monitoring and data collection techniques; remote monitoring tools, earth observation system data, e.g. satellite data sources, LIDAR, and UAV aerial images. Collect and analyse In-situ data on biotic and abiotic parameters, map and analyse data using R or Google Earth Engine, field data collection and retrieving data from online databases.

Module 4.2 Data management and processing
Introduction to tools and methods of managing large and diverse data sets of natural resources such as time series, spatial, directional, and multivariate data. Practicals will include data storage, organization and conversion into various formats using databases such as PostgreSQL and statistical programming software such as R and Python; scripts.

Module 4.3 Ecological monitoring, modelling and management
This module aims to teach participants how to anticipate and validate trends that can be observed in various ecosystems. Lectures include ecological monitoring and its design; population monitoring studies; metrics in population monitoring; methods for monitoring and assessing marine ecosystems; human ecology to socio-ecological systems; climate change impact of ecosystems; suitability assessments; overview of the principles underlying wildlife monitoring and prediction systems for climate change adaptation. Practicals will include field data collection (individual and group); ecological data analysis using R or PAST; modelling and experiencing the behaviour of complex systems using Vensim.

Module 4.4 Natural habitat restoration ideation lab
This module is designed to spur students’ innovation and creativity, and to help students comprehensively identify interdependencies across the 17 SDG goals. Participants will be trained on ideation processes for solutions and intervention for transformative natural resource management. They will work collaboratively in small groups on case studies and develop pathways of transformative sustainable natural resource management. Examples of projects include forest (mangrove) ecosystem and habitat restoration, improved technologies for agricultural production, nature-based solutions for improving water quality, and reversing land degradation.

Language: The course will be delivered in English. Participants are expected to be fluent in writing and speaking the English language.

How to apply

Applicants are kindly requested to fill in the application form available from https://snrmafrica.com/ and submit the following documents in English through the system.

  • a curriculum vitae (maximum 2 pages)
  • a letter of motivation (maximum 1 page)
  • a confirmation of university enrolment
  • a reference letter from the academic supervisor
  • project summary of MSc/ PhD project (1 page including objectives, methodology
    and key findings or expected outcomes).

Important dates
Application deadline: 30th June 2025.
Announcement of accepted applicants: 15th August 2025.
Confirmation of attendance by selected participants: 12th Sept 2025.
Summer school held: 16 – 28 Nov 2025.

Further information is available from

The secretariat info@snrmafrica.com
Dr Lydia Olaka lydiaolaka@tukenya.ac.ke
Prof. Dr. Hartmut Stuetzel stuetzel@gem.uni-hannover.de

Mak Editor

Continue Reading

Trending