University of Limpopo

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Academic Staff Positions in Cybersecurity Singapore Institute of Technology (SIT) invites applications for Academic Staff positions in Cybersecurity. We are building a modern cybersecurity capability that brings together applied learning, competency-based education, translational research, and close partnership with industry. We welcome outstanding candidates across the breadth of cybersecurity, and we are especially interested in colleagues who can help SIT build stronger capability in Threat Operations. Appointment may be made at a rank aligned with experience and profile. Academic Staff positions in SIT comprises of both Faculty and Professional Officers. They play distinctive yet complementary roles in advancing SIT’s mission in education and applied research. Faculty provide academic leadership in the design, delivery, and continual enhancement of programmes, ensuring academic rigour and industry relevance, while Professional Officers, as technical specialists, embed current and emerging industry practices and support practice-oriented delivery. Together, they strengthen SIT’s applied learning environment through hands-on, real-world approaches that enhance students’ industry readiness. In applied research, faculty lead translational research and innovation in collaboration with industry, bridging knowledge creation with practical application, while Professional Officers contribute deep technical expertise and industry experience to translate concepts into implementation, prototyping and deployment, thereby ensuring impactful and industry-relevant outcomes. Why join SIT SIT is Singapore’s first University of Applied Learning and the University for Industry. Our students learn in authentic environments, work on real problems with external partners, and undertake substantial workplace learning through the Integrated Work Study Programme. Our approach to education is explicitly competency-based, with a focus on demonstrated capability, workplace relevance, and flexible pathways for learners. At SIT, we welcome both academic candidates, and practitioner-academics with substantial industry, government, or operational cybersecurity experience. Candidates should be able to translate their expertise into rigorous teaching, authentic learning experiences, applied scholarship, translational work, and industry relevant outcomes and impact. Areas of interest in cybersecurity We welcome applicants with expertise in one or more areas across the cybersecurity spectrum, and are especially interested in candidates whose work can strengthen the university’s capability in Threat Operations. Relevant areas include threat detection and analysis, threat hunting, technical investigations, incident response, adversary tradecraft, operational threat intelligence, security operations, and detection engineering. We also welcome applicants working in areas that strengthen operational cyber defence, such as purple teaming, red teaming, AI for security, security automation, adversary emulation, and cyber range or validation environments. Applications from outstanding candidates across the wider cybersecurity spectrum remain strongly welcome. Key Responsibilities You will contribute to SIT’s mission through a combination of teaching, curriculum development, applied scholarship, and external engagement in the area of cybersecurity. Depending on rank and profile, responsibilities may include teaching undergraduate, postgraduate, and continuing education learners designing modules, labs, case-based learning, and authentic assessments supervising capstone projects, industry-linked projects, and graduate students where appropriate contributing to programme development across pre-employment and continuing education offerings building applied research, translational work, or practice-based scholarship with external relevance developing partnerships with industry, government, and professional communities contributing to interdisciplinary initiatives across computing, engineering, AI, and other applied domains Teaching and educational contributions At SIT, strong teaching means building learning experiences that are hands-on, rigorous, and close to practice. That may include secure system design projects, digital forensics investigations, threat-hunting exercises, red-blue or purple-team style activities, malware analysis labs, incident response simulations, or projects shaped by real operational and sectoral constraints. Our educational model values authenticity, workplace relevance, and the ability to assess whether learners can perform, not only whether they can recall. You should be able to contribute to curriculum design, develop modern teaching materials, mentor students well, and work with colleagues to improve programmes over time. Experience with applied learning, competency-based education, workplace learning, or industry-based training will be valuable. Research / scholarly / translational contributions SIT values scholarship that moves beyond publication alone. We are interested in research and scholarly work that can be tested, translated, adopted, or used to solve real problems. This may take different forms: applied research with industry or government; translational work that leads to methods, tools, datasets, or deployable capabilities; practice-based scholarship grounded in operational experience; sector-facing evaluations; or interdisciplinary work that brings cybersecurity into real systems and real environments. The strongest candidates will show a clear line of sight between their expertise and tangible external value. Candidate profile / qualifications We welcome applications from candidates with strong academic, applied, or practice-oriented profiles. You should have Doctorate or a Master’s degree (with substantial and credible industry achievement) in cybersecurity, computer science, computer engineering, information security, or a closely related field expertise in one or more cybersecurity domains relevant to this search demonstrated teaching excellence, or relevant experience in industry-based education and training demonstrated evidence in translating your expertise into authentic learning experiences and useful external outcomes and impact a strong interest in student learning and engagement, and keen to adopt flipped classroom methods, team-based learning, and authentic assessments for learning strong communication skills and a collaborative mindset interest in working across disciplines and with external partners The following will strengthen an application experience in industry, government, or operational cybersecurity environments professional certifications or recognised practice credentials experience with applied or competency-based education a track record in translational research, practice-led scholarship, or industry-linked innovation for candidates at the levels of Associate Professor / Professor, the ability to lead programmes, mentor colleagues, and help shape institutional capability Application Submission Applications will be accepted until the position is filled. All applications must be submitted electronically through the SIT careers website using the Apply Now button. As part of your application, please submit the following materials cover letter curriculum vitae research, scholarship, or applied practice statement teaching statement Questions about this opportunity may be directed to the Cybersecurity Faculty Search Committee Chair at bernard.nee@singaporetech.edu.sg. Only shortlisted candidates will be contacted.

Description The Center for Artificial Intelligence and Robotics (CAIR) at NYU Abu Dhabi invites qualified applicants with a doctorate degree in the areas of electrical or computer engineering or computer science, or related fields to apply. A strong publication record is encouraged and previous experience in areas such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various projects on robotics and computer vision, controls, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in MATLAB/Python), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard implementation tools used in machine learning and embedded systems (e.g., C, C++, Linux, PyTorch, TensorFlow, MATLAB, Python, Robot Operating System) is required. The position is open to PhDs with backgrounds in AI, and/or computer vision and robotics/controls, and with less than 5 years of experience after receiving their PhD. The candidate is expected to work in a highly collaborative multi-disciplinary environment with other post-doctoral associates, PhD and undergraduate students, as well as faculty members (both in NYU Abu Dhabi and NYU New York). It is expected that applicants have a strong publication record in the aforementioned areas. The applicants are also expected to have strong analytical, communication, and writing skills. Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, research statement, and at least 2 contact references referees having essential knowledge of the candidate’s academic work, all in PDF format. If you have any questions, please reach out to Dr. Farshad Khorrami at khorrami@nyu.edu. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT THE INDUSTRIAL INTELLIGENT AGENT RESEARCH CENTER The Industrial Intelligent Agent Research Center at Xi'an Jiaotong-Liverpool University, aligned with national smart manufacturing strategies, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking through key technologies in smart equipment, industrial software, and system solutions. The center collaborates closely with industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application. Job Description We cordially invite applications for Assistant Professor positions from individuals with outstanding research potential in Industrial Intelligent Agents and related fields. Successful candidates will conduct frontier research, join research teams, and participate in the center's core technology initiatives. We particularly welcome scholars with outstanding achievements in areas such as Industrial AI, Intelligent Control Systems, and Industrial Software. Key Responsibilities Scientific Research: Conduct innovative research in core directions of Industrial Intelligent Agents, including but not limited to: Autonomous Decision-Making Systems, Industrial Digital Twins, Intelligent Operation & Maintenance, Advanced Process Control, etc. Actively apply for research grants such as the National Natural Science Foundation of China, Jiangsu Provincial Natural Science Foundation, and industry-sponsored projects. Publish high-quality academic papers in top-tier international journals and conferences. Talent Cultivation: Teach undergraduate and postgraduate courses. Supervise PhD and Master's students. Develop cutting-edge courses and experimental teaching systems related to Industrial Intelligent Agents. Academic Service: Participate in the center's important academic activities and international collaboration projects, assisting in enhancing the discipline's influence. Promote the industrial applications of research outcomes, engaging in deep collaboration with the center's partner enterprises. Qualifications Essential Requirements: A Ph.D. (obtained or soon to be obtained) in Automation, Computer Science, Artificial Intelligence, Mechatronics, Mechanical Engineering, or a related field. Solid theoretical foundation and outstanding research capabilities, with first-author publications in high-level international journals in related fields. Good teaching potential and communication skills, capable of teaching in English. Team spirit and ability to conduct research independently. Preferred Qualifications: Experience with industrial field projects or familiarity with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas research experience or experience collaborating with industry. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as: Housing allowance, Travel allowance, Relocation allowance etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (13 days) Annual Leave (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Applications must be submitted in a single pdf file that includes 3 parts in the order of: A cover letter A current CV, including date of birth, country of citizenship, and highest degree level Contact Details for Three References For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn