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Yusuf Maitama Sule University, Kano

Kofar Kabuga, Nigeria
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About Yusuf Maitama Sule University, Kano

Basic information and contact details for Yusuf Maitama Sule University, Kano

Yusuf Maitama Sule University, Kano was founded as North West University in 2012 as a second state university in the state of Kano. The university took its current name in 2017 in honour of Yusuf Maitama Sule, the former politician, representative at the United Nations, holder of several cabinet posts and 1979 presidential candidate. Students are divided between the city campus in Kano and the main campus on General Buhari Way in the Kofar Ruwa district. The first four faculties at the university included education, humanities, social and management science and science and have subsequently been joined by basic medical education and clinical science. The training hospital launched in 2017 and admitted its first medical students in 2020. In 2022 it launched a collaboration with the Republic of Niger and the first cervical cancer screening laboratory in northern Nigeria. There are diploma and masters programmes in accounting and finance. Facilities include the university library, campus accommodation, the student union, support and counselling services, a health and wellness centre, ICT suites, sports centre and transport services. The Yusuf Maitama Sule University also provides its students with access to online resources, including e-books and journals, to support their research activities.

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Research Fellow / Engineer (Renewable Energy and Coastal Protection) - TZY6

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore Institute of Technology (SIT)

Singapore

institution

Singapore Institute of Technology (SIT)

Singapore


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 researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures.  Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability. 4. Design and Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave flumes or basins to validate computational models. Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination: Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders. Contribute to project proposals and progress updates for funding agencies. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry standard will be an advantage Ability to work independently and in teams in both lab and field environments. Excellent communication (verbal and written) and teamwork abilities Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

Salary

Competitive

Posted

8 May 2026

Senior Lecturer / Lecturer I / Lecturer II (Information Systems)

HONG KONG BAPTIST UNIVERSITY

Hong Kong Baptist University

Hong Kong

institution

Hong Kong Baptist University

Hong Kong


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.

Salary

Competitive

Posted

8 May 2026

Junior Research Scientist in the Center for Quantum and Topological Systems (CQTS) – Dr. Hisham Sati

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description The Center for Quantum and Topological Systems (CQTS), New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work on interdisciplinary research in quantum systems. The successful applicant will Performing interdisciplinary research in quantum systems within the projects of the center and in alignment with its goals, in collaboration and coordination with the PI and/or the Co-PIs, potentially leading to quality publications. Participation in the activities of the center, including workshops, training sessions, seminars, conferences, hackathons, meetings, and interaction with visitors. Mentoring of undergraduate research students in coordination with the PI and Co-PIs. Promoting the research done at the center by giving talks at national and international seminars/ meetings/ workshops/ conferences. Helping in teaching tutorials/recitations as the need arises. Applicants must have a Bachelors in one of the following: Computer Science, Computer/Electrical/Communication Engineering, Mathematics, Physics. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript of degree, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Prof. Hisham Sati at nyuad.cqts.info@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled.  About NYU Abu Dhabi https://nyuad.nyu.edu/en/  NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty/academic 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 faculty/academic 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. 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.

Salary

Competitive

Posted

8 May 2026

Senior Lecturer in Social Work (Professional Practice & Workforce Readiness)

FLINDERS UNIVERSITY

Flinders University

Australia, Bedford Park

institution

Flinders University

Australia, Bedford Park


Position Details  Continuing position | Full time Academic Level C | AU$141,370 - $ 162,619 pa | 17% Superannuation Location: Bedford Park / Kaurna Country View Position Description About the Position: Flinders University is entering an exciting period of innovation and growth in Social Work education, under its Impact. With Purpose Agenda 2035 strategy, with a strong focus on student success, workforce readiness, and community impact. We are seeking a Senior Lecturer in Social Work (Professional Practice and Workforce Readiness) to provide academic leadership in the design and delivery of practice-focused, industry-aligned education, responding directly to sector demand for work-ready graduates. This teaching-focused role offers an opportunity to lead initiatives that bridge theory and practice through field education, curriculum innovation, and workforce partnerships. You will play a key role in aligning academic programs with accreditation standards and industry expectations, ensuring graduates are equipped with the applied skills, professional judgement, and ethical capabilities required for contemporary social work practice. In this position, you will: Lead high-quality teaching, course coordination, and curriculum design with a strong focus on professional practice and student success Provide leadership in field education, including placement models, practice assessment, and preparation of students for complex environments Drive curriculum innovation and continuous improvement to ensure programs remain responsive to workforce and policy changes Build and sustain strong industry and community partnerships to support placements and enhance graduate employability Contribute to academic leadership, accreditation, and quality assurance activities within the discipline and College About You You are an experienced social work academic or practitioner with a strong commitment to practice excellence, student success, and workforce readiness. You bring deep expertise in field education and professional practice, with the ability to lead curriculum innovation and build meaningful partnerships across the sector. You are a collaborative and inclusive leader who values cultural humility and is passionate about preparing graduates to thrive in complex and evolving practice environments. You will demonstrate: A PhD in Social Work (highly desirable) or an equivalent qualification and/or combination of postgraduate study and extensive teaching expertise, along with eligibility for membership with the Australian Association of Social Workers (AASW) Leadership in professional practice and field education Excellence in teaching, course coordination, and curriculum design Experience in accreditation, quality assurance, and industry engagement  Strong communication skills and a commitment to inclusive, collaborative practice Life at Flinders  We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?  17% Superannuation + salary packaging options  Wide range of professional development activities, funds and services, such as Flinders University’s Researcher Development and Leadership Programs. We are the first university in South Australia to receive the prestigious SAGE Cygnet Award, recognising our outstanding commitment to fostering an inclusive environment. Join a multidisciplinary team that values collaboration, innovation, and provides strong mentorship to support both early career staff. Access to state-of-the-art advanced facilities, including an on-site gym, cafes and childcare centre. Our Commitment to Reconciliation and Indigenous Employment Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies.  Please see here for our Reconciliation Action Plan Please see here for our Indigenous Workforce Strategy  Prescribed Conditions for Employment A current Nationally Coordinated Criminal History Check which is satisfactory to the University will be required by Flinders University before the successful applicant can commence in this position. A criminal record will not automatically disqualify a candidate from consideration. Each case will be assessed on its individual merits and relevance to the inherent requirements of the role. In addition, it is a requirement of this position that the incumbent maintain a current Working With Children Check which is satisfactory to the University in accordance with the Child Safety (Prohibited Persons) Act 2016 (SA). How to Apply and Information  You are required to submit a CV, along with a Suitability Statement of no more than 3 pages, addressing the below Key Position Capabilities of the position description For more information regarding this position, please contact Professor Kathomi Gatwiri Applications to be submitted before 10:00 pm (ACST) on Sunday, 31 May 2026. Please note, late applications and applications sent via agencies will not be accepted.  At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities.  Certification Applications to be submitted before 10.00pm: 31 May 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

Salary

AU$141,370 - $ 162,619 pa | 17% Superannuation

Posted

8 May 2026

Senior Lecturer in Big Data & Artificial Intelligence

Oxford Brooks College, Chengdu University of Technology

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu

institution

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu


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.

Salary

Competitive

Posted

8 May 2026

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Subjects Taught at Yusuf Maitama Sule University, Kano

See below for a range of subjects taught at Yusuf Maitama Sule University, Kano

Arts and Humanities

  • History, Philosophy and Theology
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Life Sciences

  • Biological Sciences

Medical and Health

  • Medicine and Dentistry

Physical Sciences

  • Chemistry
  • Mathematics and Statistics
  • Physics and Astronomy

Social Sciences

  • Geography
  • Politics and International Studies