Duties and Responsibilities
Conduct research in artificial intelligence, machine learning, and neural networks under the guidance of experienced researchers;
Contribute to the development of research outputs including:
– Policy briefs and whitepapers
– Literature reviews
– Data collection, preprocessing, and analysis
– Building, training, and evaluating AI/ML models
Assist in the preparation of research findings for presentation at lab meetings, workshops, and national/international conferences;
Collaborate on the writing and submission of academic papers for publication in top-tier journals and conferences;
Support senior researchers in securing research grants and building strategic partnerships;
Participate in AI-related training initiatives in both academic and business settings.
Benefits:
Unparalleled Research Experience: Gain practical, hands-on experience in cutting-edge AI research projects;
Mentorship and Career Development: Receive guidance and mentorship from leading AI researchers, helping you build a strong foundation for a successful career in academia or industry;
Publication Opportunities: Contribute to publications in top-tier AI conferences and journals;
Conference Attendance: Present your research findings at national and international conferences;
State-of-the-Art Facilities: Access a modern research lab with the latest technology and resources;
Competitive Stipend: Receive a competitive monthly stipend throughout the program.
NB: Female candidates are encouraged to apply. Police clearance is mandatory
for successful candidates.
-Recent Graduate (within the past year) with a strong academic record and a Bachelor’s Degree in Computer Science, Data Science, Computer/Electronic/Electrical Engineering, Big Data, Data Analytics,
Informatics, Information Systems, Information Security and Assurance,
-Software Engineering, or a related quantitative field;
-Demonstrated interest and experience in AI/ML research, evidenced through coursework, projects, or prior research experience;
-Proficiency in Python and familiarity with at least one deep learning framework such as TensorFlow or PyTorch;
-Solid understanding of fundamental AI/ML algorithms and their applications;
-Experience with statistical analysis and data visualization tools (e.g., Power BI, R, Tableau) is a plus;
-Excellent written and oral communication skills for effective collaboration and dissemination of research findings;
-Strong work ethic, self-motivation, and the ability to work both independently and as part of a team;
-Twenty-seven (27) years of age or below at the time of application.
Interested and qualified persons should send one set of their application merged in continuous pdf format to recruitment@buse.ac.zw consisting of the application letter, certified copies of educational certificates, transcripts, National ID, Birth Certificate and a Curriculum Vitae giving full personal details including full names, place and date of birth, qualifications, previous employment and experience, telephone number, present salary, date of availability, names, e-mail addresses and telephone numbers of at least three referees.
