Senior Lecturer (Computer Science & Mechatronics Engineering)

Uganda Christian University (UCU)

Main Campus, Mukono, Uganda Full Time Closes November 16, 2026
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Checked by NextRoleHub · Posted 1 Nov 2026 · Updated 31 Oct 2026

Job overview

Senior Lecturer opportunities at Uganda Christian University (UCU) include a full-time post in Computer Science & Mechatronics Engineering at the main campus in Mukono. The position requires a relevant PhD, relevant STEM masters and bachelors degrees with a strong mathematics background, at least two recent peer-reviewed publications, and practical technical competence. UCU asks for at least three years of university teaching at Lecturer rank, or willingness to serve at a lower rank until the required experience is attained. Applicants must be committed, practising Christians aligned with the university mission and values. These university jobs in Uganda combine teaching, research, supervision and applied engineering. Apply through the official UCU careers portal by 16 November 2026 at 5:00pm Kampala time.

Overview & Context

Job Overview

  • PositionSenior Lecturer (Computer Science & Mechatronics Engineering)
  • CompanyUganda Christian University (UCU)
  • LocationMain Campus, Mukono, Uganda
  • Job TypeFull Time
  • CategoryUniversity, Education and ICT Jobs in Uganda
  • IndustryHigher education
  • DepartmentAcademic Faculties
  • ReferenceJ26/08Oct/01
  • Salary scaleLEVEL 6.1
  • Deadline16 November 2026, 5:00pm

About The University

Uganda Christian University is a Christian higher-education institution with its main campus in Mukono. This vacancy sits within its academic faculties and connects computing education with mechatronics and engineering applications.

The official advert places explicit emphasis on Christian commitment, academic integrity, practical learning, research and industry engagement. Candidates should consider both the academic requirements and the institutional mission before applying.

About The Senior Lecturer Role

The Senior Lecturer teaches undergraduate and postgraduate courses assigned by the Head of Department, combining lectures, seminars and tutorials with laboratory and practical learning. Assessment, timely feedback, accurate records and effective use of digital learning tools form part of the teaching workload. The post also involves supervision of undergraduate projects and postgraduate research, subject to the university eligibility requirements for each level.

Research and academic service are equally prominent. The successful candidate will publish relevant work, develop funding proposals, support interdisciplinary innovation and contribute to curricula, short courses and quality assurance. Applied projects may connect computing with intelligent systems, robotics, embedded systems and automation. The lecturer will mentor junior colleagues, work with technical staff on safe laboratory training and build relationships with industry, academic institutions and professional bodies. Annual performance targets cover teaching, student research completion, publications, innovation, mentorship, curriculum quality and external partnerships.

Requirements & Skills

Key Responsibilities

  • Teach assigned undergraduate and postgraduate courses within the approved workload and expertise.
  • Prepare and deliver lectures, seminars, tutorials, laboratories and practical activities that build technical and problem-solving competence.
  • Set, administer, mark and moderate assessments and examinations, provide timely feedback and submit results on time.
  • Integrate e-learning, blended learning and appropriate digital tools into teaching and assessment.
  • Maintain accurate teaching, attendance, assessment and academic-progress records.
  • Conduct and publish high-quality research in computing, mechatronics and related disciplines.
  • Supervise undergraduate projects, masters dissertations and doctoral research within university eligibility rules.
  • Support student research proposals, appropriate methods, ethics, publications and practical outputs.
  • Develop funding proposals and participate in collaborative research, innovation and consultancy.
  • Promote interdisciplinary projects in intelligent systems, robotics, embedded systems and automation as appropriate.
  • Contribute to relevant, competence-based curriculum design, review and implementation.
  • Update course outlines, learning materials, laboratory activities and assessments for disciplinary and industry developments.
  • Develop specialist short courses and professional training.
  • Mentor junior academics and improve teaching, research and supervision.
  • Support programme review, accreditation and academic quality assurance.
  • Work with technical staff on laboratory learning, equipment use and safe practical training.
  • Support practical projects, bootcamps, exhibitions, competitions and applied-learning activities.
  • Build industry, academic and professional partnerships for research, internships, practical training and knowledge exchange.
  • Contribute to outreach, career guidance, programme publicity and student recruitment.
  • Represent the department and university in scholarly and professional forums.

Qualifications & Requirements

Required Education

A PhD from a recognised institution in Computer Science (including AI, machine learning, computer vision, embedded systems or robotics research), Computer Engineering, Computer Science & Engineering, Software Engineering, Mechatronics Engineering, Robotics Engineering, Electrical Engineering, Electrical & Electronics Engineering, or a closely related discipline.

A PhD in another discipline is acceptable where the applicant demonstrates substantial relevant research concentration, including AI, data science, data engineering, network engineering, cybersecurity, embedded systems, control systems or industrial automation. Relevant STEM masters and bachelors degrees and a strong mathematics background are also required.

Work Experience

At least three years of university teaching at Lecturer rank, with effective teaching, assessment and student mentorship, or willingness to serve at a lower rank before attaining the required teaching experience.

Additional Requirements

  • At least two recent relevant peer-reviewed scholarly publications and an active research agenda.
  • Practical integration of theory through laboratories, software development, engineering design, prototyping or industry projects.
  • Committed, practising Christian identity aligned with UCU mission and values.

Skills & Competencies

Technical Skills

  • Teaching and assessment: competence-based learning, authentic assessment and student mentorship.
  • Applied tools: relevant technical software, laboratory methods and digital learning platforms.
  • Research: independent and collaborative inquiry, publications and funding proposals.
  • Interdisciplinary practice: connect computing, mechatronics and industry needs.

Soft Skills

  • Communication: clear teaching, feedback and supervision.
  • Professional judgement: academic integrity and sound decision-making.
  • Teamwork: collaboration with academics, technical colleagues and external partners.
Benefits & Application

Benefits

The portal lists salary scale LEVEL 6.1. A cash salary amount and additional benefits are not stated in the advert.

Why Apply

  • Teach across computing and mechatronics disciplines.
  • Build applied laboratory and project-based learning.
  • Develop an interdisciplinary research agenda.
  • Supervise student research within university eligibility rules.
  • Contribute to specialist courses and curriculum development.
  • Build industry partnerships and mentor junior academics.

How To Apply

Open the official UCU careers portal, select Senior Lecturer (Computer Science & Mechatronics Engineering), reference J26/08Oct/01, and choose APPLY NOW. The portal starts the application using your email address and creates or updates your profile as you enter application details. Follow its required fields and supporting-document instructions. Submit before 16 November 2026 at 5:00pm Kampala time.

Application Tips

  • Connect your PhD research directly to the listed subject areas.
  • Show the mathematics foundation in your earlier STEM qualifications.
  • Identify at least two recent relevant peer-reviewed publications.
  • Document Lecturer-rank experience or address the lower-rank alternative honestly.
  • Use practical examples from laboratories, software, prototypes or industry projects.
  • Explain your fit with the university Christian mission and values.
Closes in 15 days 4 hours 36 mins 31 secs Applications close November 16, 2026 at 5:00 pm

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