Maryam Abacha American University of Nigeria

Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Big Data & Artificial Intelligence Start Date: September 2026 or earlier We are seeking highly motivated and qualified academics to join our dynamic team at the CDUT-Oxford Brookes College. This role is at the heart of our new MSc in Big Data and Artificial Intelligence, a programme designed to equip students with the advanced technical skills and theoretical foundations required to excel in the rapidly evolving fields of data science, machine learning, and artificial intelligence. If you are an educator passionate about shaping the next generation of AI and data science professionals, we want to hear from you. The Role You will deliver high-quality, practical teaching across the programme's core modules, which cover the full spectrum of data science and AI. Your teaching portfolio will include: Programming and Software Tools (COMP7001): Introducing students to the principles of programming, software engineering, and the use of software libraries for data science and AI solutions. Principles of Data Science (COMP7035): Guiding students through data collection, processing, analysis, and visualisation methodologies, with an emphasis on data security and privacy. Machine Learning and Data Mining (COMP7034): Teaching students the fundamentals of machine learning algorithms, data mining techniques, and responsible AI practices, including model evaluation, bias mitigation, and ethical considerations. Statistical Modelling (COMP7036): Equipping students with regression analysis techniques, generalised linear models, and advanced statistical methods essential for robust data analysis. Research Methods (COMP7037): Preparing students to conduct rigorous, ethical research, including literature review, project planning, and understanding of professional and legal issues in computing. Group Software Project (COMP7029): Facilitating collaborative, live project experiences where students apply software production principles, project management, and teamwork to solve real-world problems. MSc Dissertation in Computing Subjects (COMP7039): Supervising students through their final research project, guiding them from proposal to final thesis. This role requires a strong technical foundation combined with the ability to teach complex concepts in an accessible, applied manner. You will guide students through the entire data science lifecycle, from data preparation and exploratory analysis to machine learning model deployment and evaluation, always with an emphasis on ethical practice, information security, and responsible innovation. In addition to postgraduate teaching, you will be expected to teach and mentor final-year (Level 6) undergraduate students enrolled in the dual bachelor's degree, including supervising their final year research projects. The teaching load is up to 20 class periods per week. Due to the profile of our students, who are often working professionals, teaching may be scheduled in the evenings or on weekends. You will also provide at least 6 class periods per week of office hours for student support and mentorship. Key Responsibilities: Deliver innovative, practical, and theoretically grounded teaching across data science, machine learning, AI, and software development modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and data science tools to collect, process, analyse, visualise, and model complex datasets. Guide students in understanding the ethical, legal, and security implications of AI and data-driven systems, fostering a culture of responsible practice. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied AI and data science problems. Facilitate group software projects, helping students develop collaboration, project management, and technical documentation skills. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. Uphold the highest standards of education and scholarly engagement. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach practical programming and data science skills, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data science and AI (e.g., Python, R) and relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). A strong understanding of machine learning algorithms, statistical modelling, and data mining techniques. Proven experience in supervising postgraduate dissertations and/or undergraduate final year research projects. Excellent communication and interpersonal skills, with the ability to work effectively in a cross-cultural environment. A commitment to fostering student success and a positive learning experience. Willingness to teach in the evenings or on weekends as required. Desirable: Experience teaching within the British higher education system or on British university modules. Experience teaching in transnational education (TNE) or joint programme settings. A postgraduate degree (PhD or Master's) obtained from a British university. An emerging or established research profile in AI, machine learning, data science, or a related field, evidenced by publications. Experience with industry collaboration or applied AI/data science projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies. Experience facilitating group projects or industry-sponsored live projects. Equality, Diversity, and Inclusion: We are committed to building a diverse and inclusive academic community. Female candidates are strongly encouraged to apply. Salary & Benefits: Competitive Package: An attractive salary commensurate with qualifications and experience. Relocation Support: Comprehensive support including annual flight allowance. On-campus accommodation or a housing allowance may be available subject to availability and university policy at the time of appointment, and full visa/residence assistance. Career Growth: Opportunities for personalised professional development and career advancement. Research Opportunities: Potential to engage in research aligned with the institute's strategic goals. Lifestyle Assistance: Dedicated support team to help with all aspects of living and settling in Chengdu. About CDUT-Oxford Brookes College The CDUT-Oxford Brookes College is a prestigious transnational education partnership between Chengdu University of Technology (CDUT) and Oxford Brookes University, United Kingdom. CDUT has offered TNE programmes since 2004. The college is home to around 100 academic staff members serving a student body of over 2,000. Our qualified and experienced faculty deliver a range of programmes, currently offering four undergraduate degrees in Business Management, Accounting and Finance, Software Engineering, and Computer Science. The Institute is now expanding to offer postgraduate programmes, including this new MSc in Big Data and AI. As a member of our faculty, you will join a collaborative and supportive academic community committed to fostering student success and advancing cross-cultural education. About the City Chengdu, the capital of Sichuan Province, is one of China's most dynamic and liveable cities. The university is conveniently located in the city area, with easy access to Metro Lines 7 and 8, allowing for effortless travel across the city. Known for its rich history, vibrant culinary scene, and relaxed lifestyle, Chengdu offers an exceptional quality of life. With its modern infrastructure, growing expatriate community, and relatively low cost of living compared to other major Chinese cities, Chengdu provides an ideal setting for international academics. How to Apply Interested candidates are invited to submit their application materials to careers-pg@zy.cdut.edu.cn Please submit the following: A detailed CV outlining your academic qualifications, teaching experience, research profile, and relevant professional experience. A cover letter (max. one page) explaining your teaching philosophy, preferred module(s) and how your skills and experience align with the selection criteria. Application Deadline: May 22nd, 2026 Shortlisted candidates will be asked to complete our internal job application form and will receive further details on salary and benefits. For inquiries about the position, please contact Waseem Abbasi at waseem@zy.cdut.edu.cn Due to the large number of applications, only shortlisted candidates will be contacted. We prefer to hire staff members who intend to stay for several years. The partnership is an equal opportunities employer, but successful candidates must be able to meet the requirements to obtain a Chinese work permit. We look forward to receiving your application and welcoming you to our team in Chengdu.

Job Description SCHOOL OF BUSINESS DEPARTMENT OF MANAGEMENT, MARKETING AND INFORMATION SYSTEMS Senior Lecturer / Lecturer I / Lecturer II (Information Systems) (25260706) The Department of Management, Marketing and Information Systems invites dynamic and experienced professionals to apply for a position at the rank of Senior Lecturer or Lecturer I/II within our Information Systems and Business Intelligence team. We are seeking individuals with strong technical expertise and a demonstrated commitment to excellence in teaching. The successful candidate will contribute to our growing programmes through innovative instruction, curriculum development, and enhancing students’ technical capabilities. Responsibilities: Deliver high-quality teaching and student engagement at the undergraduate and postgraduate levels; Develop and teach courses in areas such as Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models, E-Business, Data Management, Management Information Systems, and Python programming; and Contribute to curriculum development and innovation in the field of the application of AI in business. We particularly encourage applications from candidates with a doctoral degree in MIS or Computer Science, who can help integrate technical know-how and academic knowledge with practical industry applications. The position will be located at the Kowloon Tong campus and will be primarily responsible for teaching and assisting in programme management and development. An initial appointment will be made on a fixed-term contract of two years commencing September 2026 or the earliest available date. Re-appointment thereafter is subject to mutual agreement. Rank and salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System. Those who are not invited for interview 4 months after submission of application may consider their applications unsuccessful. Details of the University's Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the positions are filled.

Department: Department of Anthropology – Faculty of Science Deadline: 10 Jun 2026 Start date: 01.09.2026 or negotiable Job type: full-time Job field: Project management, grants | Science and research | Education and schooling Dean of the Faculty of Science, Masaryk University announces an open competition for the position Biological/Physical Anthropologist (Assistant Professor) Workplace: Department of anthropology, Faculty of Science, Masaryk University, Czech Republic Type of Contract: temporary position with 3-year contract (with possible extension), academic Working Hours: 1 FTE (full-time employment of 40 hours per week) Expected Start Date: 1. 9. 2026 or negotiable with respect to immigration timelines for non EU candidates Number of Open Positions: 1 Pay: negotiable Application Deadline: 10. 6. 2026 EU Researcher Profile: R2 About the Workplace Masaryk University is modern, dynamic and the most attractive university in the Czech Republic with ten faculties, more than 7 000 staff and 33 000 students, a wide range of research areas and a strong international position. We are the largest academic employer in the South Moravian Region. Faculty of Science MU, a holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. Department of Anthropology at the Faculty of Science MU is an academic, research- and education-oriented institution which focuses on the study of interactions between biological, social and cultural aspects of humankind. We are a modern institution oriented on current trends in education, offering Bachelor’s, Master’s and Ph.D. degrees, consistently with more than a hundred of students in the undergraduate programs and currently with six students in the Ph.D. program. From the very beginning, students are offered intensive training in topics of biological and socio-cultural anthropology. They are encouraged to participate in department’s research projects which contributes crucially to their success in the job market after graduation. The research activities are anchored in the tradition embodying the biological and the behavioral aspect of mankind. Many of our top-tier research projects aim to apply scientific knowledge in practice – emphasis is given on developing methods for the fields of forensic anthropology or on multi-disciplinary collaboration projects which address nutritional status or modelling of human growth and development in childhood and adolescence. The department’s labs are equipped with cutting-edge technologies for 3D data acquisition of human body morphology and advanced biological data processing. In addition, advanced evaluation of nutritional status and other somatic characteristics as well as assessment of prehistorical and historical skeletal remains is conducted in our facilities utilizing state-of-the-art equipment. Currently, the Department of Anthropology includes cca 20 faculty members and researchers who are involved in teaching, conducting research and promoting science. For more information, please visit its website at https://www.muni.cz/en/about-us/organizational-structure/faculty-of-science/314070-deptof-anthropology. Job Description: The candidate for the position is expected to carry out pedagogical and creative tasks (scientific, research & development, innovative and others) in accordance with mission of the Faculty, activities of the department and ongoing research projects. He or she is expected to be involved in teaching and development of study programmes, research & development, promoting of science & dissemination of research results, and to participate in academic authorities and other bodies. He or she is also expected to carry out additional administrative and operational activities related to the type of work and departmental duties, as per instructions of the direct superior. Key Duties: To teach current courses (introductory to specialty for the undergraduate and graduate program. To conduct research falling under or closely related to evolutionary oriented physical/biological anthropology. To advise/mentor students, to participate in academic and program-related committees, and to participate in traditional academic functions. To seek external funding for his/her own research activities in the field of skeletal anthropology/bioarcheology, preferably including field surveys and excavations. Skills and Qualifications: The applicant must have: Degree (Master's and Ph.D. degrees or equivalent degrees) in Anthropology or other closely related field from an accredited institution. Knowledge and understanding of theories, concepts and approaches relevant to the field of physical/biological anthropology. Conceptual analytical and evaluative skills to conduct independent research and analysis in the field of physical/biological anthropology. Excellent communication and didactic skills. Teaching experience and the ability to design and develop innovations in education. Scholarly achievement which may include peer-reviewed and other publications (books, monographs, applied research reports). Experience with extramural grants and contracts, grant proposal design, project management. Evidence of quality instruction, curriculum design, and supervision of student projects where appropriate. Evidence of service relevant to the university, academic profession, and/or community.  Good communication skills, fluency in English (spoken and written) is required. The knowledge/understanding of Czech language is preferred but not excluding. The applicant should have: at least 5 years of combined professional experience both at national and/or international level, as a physical or biological anthropologist, experience in or on academic circles. Informal inquiries about the position can be sent to Mgr. Tomáš Mořkovský email: morkovky@sci.muni.cz, phone +420 549 494 157. We Offer: An interesting job in a dynamically-expanding university area. Flexible working hours and occasional home office to support personal needs in family and career compatibility. Employee benefits such as 8 weeks of paid vacation per year, pension insurance contribution/long-term investment product/nursery/children´s group allowance, a financial meal allowance, lunches in canteens of MU, Multisport card, vaccinations free of charge, discounted language courses, exclusive mobile tariff offer by Vodafone, childcare groups at Campus and Komenského náměstí). Opportunity to work and live in a modern and dynamic city (for more information on costs of living, you can refer to Numbeo). Welcome Office provides support with your relocation to Brno. Application Process: The application shall be submitted online by 10. 6. 2026 via an e-application, please find the reference to the e-application in the beginning and end of the advertisement. The candidate shall provide following: CV. Cover letter describing candidate's research interest and experience. Summary of research outputs and publications. Names and contact details of at least 2 references. After submitting your application successfully, you will receive an automatic confirmation email from jobs.muni.cz. Selection Process: Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers. Selection criteria: (i) meeting qualification requirements described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here. Faculty of Science, Masaryk University is an equal opportunity employer. We support diversity and are committed to creating an inclusive environment for all employees. Visit our Career page. We are looking forward to hearing from you!