Machine Learning and Artificial Intelligence Associate Professor/ Professor
2026-09-29T03:36:12+00:00
MUBAS
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https://www.mubas.ac.mw/
FULL_TIME
Blantyre
Lilongwe
10101
Malawi
Professional Services
Education
2026-10-16T17:00:00+00:00
8
Background information about the job or company (e.g., role context, company overview)
Applications are invited from suitably qualified candidates for the following academic positions tenable at MUBAS in Blantyre.
Responsibilities or duties
- Supporting the development and review of curriculum, teaching and learning materials.
- Providing effective tuition to students at various levels and engaging in internal and external examining and assessment.
- Initiating and undertaking research projects, consultancies and outreach programmes.
- Developing, enforcing and monitoring the adoption and adaptation of various new technologies and concepts.
- Developing and implementing resource mobilization strategies.
- Mentoring academic staff below them.
- Preparing and submitting reports.
- Representing the Department in various fora.
- Publishing and disseminating research findings.
Qualifications or requirements (e.g., education, skills)
- A relevant Bachelor’s degree with at least a Credit or Honours (second class upper); and
- A relevant Master’s degree or PhD in the specified field of study.
- Supporting the development and review of curriculum, teaching and learning materials.
- Providing effective tuition to students at various levels and engaging in internal and external examining and assessment.
- Initiating and undertaking research projects, consultancies and outreach programmes.
- Developing, enforcing and monitoring the adoption and adaptation of various new technologies and concepts.
- Developing and implementing resource mobilization strategies.
- Mentoring academic staff below them.
- Preparing and submitting reports.
- Representing the Department in various fora.
- Publishing and disseminating research findings.
- A relevant Bachelor’s degree with at least a Credit or Honours (second class upper); and
- A relevant Master’s degree or PhD in the specified field of study.
JOB-6abb322cba3c8
Vacancy title:
Machine Learning and Artificial Intelligence Associate Professor/ Professor
[Type: FULL_TIME, Industry: Professional Services, Category: Education]
Jobs at:
MUBAS
Deadline of this Job:
Friday, October 16 2026
Duty Station:
Blantyre | Lilongwe
Summary
Date Posted: Tuesday, September 29 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Background information about the job or company (e.g., role context, company overview)
Applications are invited from suitably qualified candidates for the following academic positions tenable at MUBAS in Blantyre.
Responsibilities or duties
- Supporting the development and review of curriculum, teaching and learning materials.
- Providing effective tuition to students at various levels and engaging in internal and external examining and assessment.
- Initiating and undertaking research projects, consultancies and outreach programmes.
- Developing, enforcing and monitoring the adoption and adaptation of various new technologies and concepts.
- Developing and implementing resource mobilization strategies.
- Mentoring academic staff below them.
- Preparing and submitting reports.
- Representing the Department in various fora.
- Publishing and disseminating research findings.
Qualifications or requirements (e.g., education, skills)
- A relevant Bachelor’s degree with at least a Credit or Honours (second class upper); and
- A relevant Master’s degree or PhD in the specified field of study.
Work Hours: 8
Experience in Months: 12
Level of Education: postgraduate degree
Job application procedure
Interested in applying for this job? Click here to submit your application now.
Applications together with copies of relevant qualifications and detailed curriculum vitae with two traceable referees should be sent by Friday, 16th October, 2026 and addressed to The Registrar, MUBAS, P/Bag 303, Chichiri, Blantyre 3. Applicants should indicate the position applied for in the subject line of their mails and the application package should be merged as one document.
Please note that hard copies will not be accepted.
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