Wittenborg University of Applied Sciences

About the University As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Role We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms. Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing. Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.

Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant problems, working alongside faculty members and professional officers. The SIT Centre for Intelligent Robotics (CIR) is an applied research centre responsible for developing and maintaining core applied robotics and embodied AI capabilities for real-world deployment. CIR is seeking a Robotics Engineer to implement state-of-the-art learning-based robotic manipulation methods on physical platforms for industry-driven applications, with an emphasis on contact-rich manipulation, robustness, and safe operation. The successful candidate will work closely with physical robots to translate recent advances in learning-based robotics into reliable, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods (e.g. imitation learning) for contact-rich robotic manipulation. Integrate hardware and software components into a functional system for real-world deployment. Design and execute field trials (test protocols, data logging, troubleshooting, reliability improvements). Produce technical documentation, reports, and implementation guides to support knowledge transfer and maintainability. Support project procurement activities (e.g., technical specifications, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources. Contribute to publications and technical notes to disseminate research outcomes. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Experience in imitation learning and reinforcement learning for robotics applications. Hands-on familiarity with robotic manipulators and motion planning. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS / ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation tools such as Gazebo, Isaac Sim, or MuJoCo. At least 2 years of experience in robotics research or industry projects.

Advert reference: uj_002276 Advert status: Online Apply by: 5 April 2026 Position Summary Industry: Education & Training Job category: Education and Training Campus: Auckland Park Kingsway Campus Contract: Permanent Remuneration: Market Related EE position: Open to all Level: Management Introduction The University of Johannesburg (UJ) is a vibrant and cosmopolitan institution, guided by its bold UJ Strategy 2035, which emphasises Societal Impact and Sustainability, Global Footprint and Partnerships, and Technology for the Future. Committed to transformative change, UJ’s mission is “To transform and serve humanity through innovation and the collective and collaborative pursuit of knowledge.” The University is guided by the vision of building “An international university of choice, anchored in Africa and the global south, dynamically shaping a sustainable future". Job description “Please note that the University is obligated, in terms of recent amendments to the Criminal Law (Sexual Offences and Related Matters) Amendment Act 2021 (Act 13 of 2021), to assess all prospective employees (including applicants) against the National Register for Sex Offenders (NRSO). The outcome of such an assessment may have an impact upon possible employment with the University. For more information, please review the following link: Justice/Criminal/NRSO Job description: We aspire to be a leading Faculty of Law and a Mercantile Law Department, anchored in Africa, producing cutting-edge national and internationally relevant research; delivering high-calibre students who will rethink and reshape the legal landscape; creating expertise and engagement on African and world legal systems, and consolidating strategic partnerships that will stimulate intellectual growth and facilitate global reach and impact. The successful candidate will be expected to actively participate in and support the primary goals and objectives of the Faculty and the Department in pursuit of this vision and strategic objective. Responsibilities: Teach undergraduate and postgraduate modules in the various sub-disciplines and modules that constitute Mercantile Law (Commercial Law or Tax Law). Supervise postgraduate students in their dissertations and theses. Conduct and publish research in local, international, accredited journals, book chapters, books, and monographs in the field of Mercantile Law. Take on administrative and committee roles within the Faculty of Law and Department of Mercantile Law, the broader University of Johannesburg (UJ), when called upon. Play a mentorship role to emerging staff in the Faculty of Law and the Department of Mercantile Law. Attract and sustain fundraising initiatives and strategies to advance teaching and research scholarship. Participate in community engagement initiatives to advance societal engagement and impact. Minimum requirements A Doctoral degree in Mercantile Law (Commercial Law or Tax Law). At least five (5) years of lecturing experience in the discipline of Mercantile Law. Strong publication track record in reputable and accredited journals, book chapters and books. Strong commitment to research-led teaching, research and innovation. Sound communication skills in English. Evidence and Experience in Postgraduate supervision, including at the doctoral level and having supervised postgraduate students to completion. Evidence of developing external research grant applications and success, especially at the level of Professor. Recommendations: Able to teach large groups of students. Experience lecturing undergraduates. Experience in curriculum development and curriculum transformation. Familiarity with blended learning techniques. Experience in compiling and developing study guides. Experience in media engagement and writing opinion pieces on discipline-related matters. Knowledge of University policies, rules, and regulations. An NRF rating will serve as an advantage and a recommendation, especially at the level of Professor. Candidates from designated groups (black South Africans and women) are especially encouraged to apply. Competencies and Behavioural Attributes: Excellent written and verbal English communication skills. Excellent teaching skills and good interpersonal skills, as well as the ability to collaborate with colleagues. Good planning and organisational skills. Experience in the integration of ICT in teaching and learning, as well as electronic assessment techniques, e.g., Moodle. Capacity to administer large undergraduate modules. Ability to work well and collegially with others and within established processes. Punctuality. Knowledge of various subfields of Mercantile Law. Innovative, proactive, and creative. Ability to work in a pressurised environment and independently (and where necessary in a team). Great writing and presentation skills. High level of integrity and ethical foundation. Enquiries: Enquiries regarding the job content: Prof Charles Maimela (Executive Dean: Faculty of Law) on Tel: (011) 559  Enquiries regarding remuneration and benefits: Mr. Innocent Masoka (HCM Business Partner) on Tel: (011) 559 1531