Job Description

Lecturer/Senior Lecturer Job at Midlands State University

Company: Midlands State University
Industry: Higher Education / University / Academic Research / Technology Education
Location: Gweru, Zimbabwe
Job Type: Full-Time
Department: Computer Science – Faculty of Science and Technology
Employment Category: Education / University / Lecturer Jobs
Role: Lecturer / Senior Lecturer / Associate Professor / Professor (Computer Science)
Number of Positions: 9 Posts
Experience Required: Relevant Academic & Teaching Experience
Education Required: BSc, MSc (Mandatory) | PhD Advantage

Midlands State University invites applications from suitably qualified and experienced candidates for the position of Lecturer/Senior Lecturer/Associate Professor/Professor in Computer Science under the Faculty of Science and Technology, Department of Computer Science. This opportunity is ideal for professionals passionate about computer science education, software engineering, cybersecurity, artificial intelligence, machine learning, programming, data science, digital forensics, mobile application development, and academic research.

The selected candidate will contribute to university teaching, research, innovation, industrialisation, and community engagement while helping students develop technical expertise in advanced computing disciplines.

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Lecturer/Senior Lecturer Job at Midlands State University

Job Overview

The Lecturer/Senior Lecturer/Associate Professor/Professor will be responsible for delivering high-quality lectures, supervising student research, conducting academic research, contributing to innovation and commercialization projects, and supporting university development initiatives.

The role focuses on higher education teaching, research excellence, technology innovation, curriculum delivery, student mentorship, academic publishing, software engineering, cybersecurity education, artificial intelligence, and digital transformation learning.

This position is suitable for professionals experienced in computer science teaching, software development, IT education, academic research, machine learning, artificial intelligence, cybersecurity, networking, programming languages, and data analytics.

Key Job Responsibilities (JD)

Teaching & Academic Delivery

• Deliver lectures according to departmental and university standards
• Teach undergraduate students across multiple Computer Science and IT modules
• Develop and update teaching materials and academic content
• Conduct practical sessions, seminars, and laboratory supervision
• Evaluate student performance through assessments and examinations

Research & Academic Publications

• Conduct active research in areas of specialization
• Publish research findings in peer-reviewed journals
• Supervise student dissertations and undergraduate research work
• Participate in collaborative academic and technology research projects
• Contribute to scientific and technological innovation initiatives

Innovation & Industrialisation

• Support the development of technology-driven products and services
• Participate in commercialization of innovations and research outcomes
• Encourage entrepreneurship and innovation among students
• Promote industry-based learning and applied research initiatives

University Service & Community Engagement

• Participate in university committees, departmental activities, and faculty meetings
• Attend conferences, seminars, workshops, and academic training programs
• Contribute to university outreach and community engagement projects
• Support institutional academic excellence and professional standards

Areas of Teaching Expertise

The successful candidate should demonstrate proficiency in teaching and supervision within one or more of the following fields:

• Programming Languages
• Mobile Application Development
• Software Engineering
• Digital Image Processing
• Cybersecurity & Digital Forensics
• Coding Theory & Cryptanalysis
• Development of Cryptosystems
• Artificial Intelligence (AI)
• Machine Learning (ML)
• Data Science & Big Data Analytics
• Computer Networks & Data Communications
• Digital Signal Processing
• Digital Logic Gates

Candidates interested in lecturer jobs, university teaching careers, computer science professor jobs, IT lecturer opportunities, software engineering faculty jobs, cybersecurity teaching careers, AI lecturer positions, machine learning professor jobs, data science teaching roles, and academic research careers may find this opportunity highly rewarding.

Educational Requirements

Applicants should possess:

Mandatory Qualifications

• BSc (Hons) Computer Science / BSc (Hons) Computer Systems Engineering or equivalent with at least a 2.1 pass
• MSc Computer Science / MSc Computer Systems Engineering / MSc Cybersecurity / MSc Software Engineering or equivalent qualification

Added Advantages

• PhD in Computer Science / Computer Systems Engineering or currently studying towards a PhD
• Post Graduate Diploma in Tertiary Education (PGDTE) or equivalent teaching qualification
• Publications in peer-reviewed academic journals

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Experience Requirements

• Relevant teaching, research, or university-level academic experience preferred
• Experience supervising student research projects and dissertations advantageous
• Strong background in computer programming, software engineering, cybersecurity, AI, networking, or data science desirable
• Experience with curriculum delivery and technology-based teaching methods is beneficial

Required Skills & Competencies

The ideal candidate should demonstrate:

• Strong teaching and presentation skills
• Excellent academic research and analytical abilities
• Advanced knowledge in computer science and emerging technologies
• Strong communication and student mentorship skills
• Curriculum development and assessment capabilities
• Problem-solving and innovation mindset
• Ability to work in collaborative academic environments
• Excellent organizational and time management skills

Salary & Benefits

Salary: Competitive / Negotiable (Based on academic rank, qualifications, publications, and university policies)

Additional Benefits May Include:

• Career progression in academia and research
• Opportunities for conference participation and academic publishing
• Professional training and higher education development programs
• Exposure to advanced technology and innovation projects
• Research and collaborative opportunities in computing fields
• Supportive academic working environment

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Training & Career Development

The successful candidate may receive training in:

• Advanced teaching methodologies and tertiary education practices
• Research development and publication strategies
• Emerging technologies in AI, machine learning, cybersecurity, and data science
• Curriculum design and academic assessment systems
• University leadership and professional academic development
• Innovation and commercialization of research outcomes

Why Join Midlands State University?

Working with Midlands State University offers professionals an opportunity to grow within higher education, academic research, artificial intelligence, cybersecurity, software engineering, computer science, data analytics, and technological innovation while contributing to national and global academic excellence.

Application Process

Interested applicants should submit:

• Application Letter
• Updated Curriculum Vitae (CV/Resume)
• Certified copies of academic certificates and transcripts
• National Identification documents
• Full personal particulars including qualifications, experience, present salary, date of availability, and contact details
• Names and addresses of three referees

Applications should be addressed to the Deputy Registrar – Human Resource and submitted as a single merged PDF file with the subject line labelled with the position applied for.

Application Deadline: 09 Jan 2027

Important Notice: Candidates holding international qualifications must provide a ZIMCHE qualifications assessment report.

Equal Opportunity Statement: Midlands State University is an equal opportunity employer. Female candidates are encouraged to apply to support gender parity.