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Federal University, Dutsin-Ma

Dutsin-Ma, Nigeria
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About Federal University, Dutsin-Ma

Basic information and contact details for Federal University, Dutsin-Ma

The Federal University, Dutsin-Ma is one of nine new federal universities created in 2011 to ease the pressure of numbers on other institutions. Federal University, Dutsin-Ma serves Katsina state in the north-west of Nigeria. The university has two campuses - one on the north side of Dutsin-Ma and a second, main site 15 miles away. Students are divided between faculties of agriculture and agricultural technology, arts, education, engineering and technology, life sciences, management science, physical science and social science. A women’s hostel opened in November 2021 and plans for an on-campus mobile police barracks. Plans were announced in April 2022 for a network of five study centres – in Malumfashe, Charanchi, Funtua, Davra and Katsina.

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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

Provost

RMIT UNIVERSITY

RMIT University

Australia, Melbourne

institution

RMIT University

Australia, Melbourne


The Organisation RMIT University is a global university of technology, design and enterprise and built for relevance, impact and scale. We create transformative experiences for learners and deliver real‑world impact through education, research, innovation and deep engagement with industry, communities and government. With campuses across Melbourne and a strong international footprint in Vietnam and Europe, RMIT is proudly global and distinctly applied. We don’t sit on the sidelines - we partner and shape what’s next. Our people are central to our success. Guided by our values of Inclusion, Imagination, Integrity, Courage, Passion and Impact, RMIT is a place where ideas move quickly, leadership is shared and diverse perspectives are not only welcomed, but expected. We respectfully acknowledge the Woi Wurrung and Boon Wurrung peoples of the eastern Kulin Nation as the Traditional Owners of the lands on which our campuses stand, and we are committed to reconciliation and Indigenous self‑determination across our systems, culture and decisions. The Role Reporting to the Vice‑Chancellor and President, the Provost is RMIT’s senior academic leader, responsible for the coherence, quality and performance of the University’s academic mission across education and research, including RMIT Vietnam. The Provost leads at scale, with end‑to‑end responsibility for academic strategy, policy, performance and investment across Colleges, Vocational Education, and Research and Education portfolios. This is a role with real authority and real consequence - shaping how a large, complex, dual‑sector university delivers on its purpose. As a trusted partner to the Vice‑Chancellor and a key member of the University Executive Committee, the Provost works across the enterprise to drive academic excellence, enable strong governance and balance ambition with disciplined execution and risk management. The role has line‑of‑sight leadership of the Deputy Vice‑Chancellors across academic colleges, Vocational Education, Research & Innovation and Education, as well as the Pro Vice‑Chancellor, RMIT Vietnam. Central to the role is building a strong “one RMIT” mindset -connecting disciplines, sectors and geographies, while representing the University with credibility and influence at the highest national and international forums. The Person You are a credible, contemporary academic leader with a strong record of leadership at senior executive level in large, complex organisations. You bring deep expertise across both education and research, and a clear understanding of how technology, data and AI are reshaping the academic landscape. You lead through influence rather than position. An exceptional communicator and collaborator, you are comfortable engaging governing bodies, senior leaders, partners and policymakers and you know how to translate strategy into outcomes at scale. Strategic and future‑focused, you are equally comfortable in detail, able to navigate regulatory complexity, governance expectations and financial realities without losing sight of academic quality or impact. Most importantly, you role‑model inclusive, values‑led leadership aligned to RMIT’s Be–Know–Do framework, and you are motivated by purpose, scale and the opportunity to shape what comes next. How to Apply For further information or a confidential discussion, please contact the consultants leading the search: Andrea Ripani, Head of Delivery, at Andrea.Ripani@odgers.com or on +61 428 806 805 or Jenny Sutton Jenny.Sutton@odgers.com Applications will close on Thursday 4 June 2026 and should be submitted via the Odgers website www.odgers.com/95761

Salary

Competitive

Posted

8 May 2026

Professor in Software Engineering (AI-Driven)

FLINDERS UNIVERSITY

Flinders University

Australia, Adelaide

institution

Flinders University

Australia, Adelaide


Position Details Full Time | Continuing Academic Level E I AU$217,876 plus 17% Superannuation Location: Tonsley / Kaurna Country / Australia View Position Description View Candidate Brochure About the Role: Flinders University’s College of Science and Engineering is seeking an internationally recognised research leader in AI-Driven Software Engineering to provide strategic academic leadership in advanced software engineering. This role offers the opportunity to drive world-class research, secure competitive external grants, supervise research students, deliver outstanding teaching, and mentor colleagues. You will also build strategic collaborations across the University, industry, and international partners to strengthen the College’s research and teaching impact. As a Professor in Software Engineering, you will also: Provide internationally recognised research leadership in AI-Driven Software Engineering and related advanced software systems domains. Establish, build and lead a world-class research and teaching group. Secure and lead major competitive national and international research funding. Publish sustained high-impact research in leading discipline journals and top-tier international conference proceedings. Supervise doctoral candidates to completion and expand the HDR cohort in strategically aligned research areas. Lead major interdisciplinary research initiatives aligned with College and University priorities. Provide strategic leadership across the computing discipline, shaping curriculum direction to align with emerging technologies and industry needs. Deliver outstanding, research-informed teaching in advanced software engineering and AI-enabled systems. Foster strong collaborative partnerships across the University, industry, government and international institutions. This position is open to national and international candidates, and relocation and visa support is available. About You: You are a distinguished academic with a globally recognised research profile in AI-Driven Software Engineering (or closely related advanced software systems domain) and demonstrated excellence in research, teaching, and leadership. You will also demonstrate: Completion of a PhD, or equivalent qualification in an area of computing relevant to software engineering or closely aligned computing discipline. A distinguished international research reputation, evidenced by sustained publication in top-tier journals and premier conference venues. A proven track record of research and securing significant competitive research funding at national and/or international level. Demonstrated capacity to establish and lead a high-performing research group. Strategic academic leadership experience, including shaping research agendas and curriculum innovation. Excellence in HDR supervision and academic mentorship. Outstanding teaching and educational leadership, including curriculum development, innovative delivery, and mentoring of colleagues. About the College of Science and Engineering At the College of Science and Engineering we believe in the power of science and engineering to solve real world problems. Our vision is to provide internationally recognised science and engineering education programs that are accessible, student centred, innovative and impactful. As well as being globally recognised for our research to advance science and engineering by creating new technologies that make our world more connected, secure, healthy, and sustainable. We seek to understand the past, but also to create the world of the future. Our College is an exciting place to research, study, and work, supported by best practice teaching methods, practical work-related learning, and advanced facilities. Why Flinders University? At Flinders University, we embrace and celebrate diversity and are committed to achieving gender equality in employment by identifying and removing any discriminatory employment barriers and taking action to promote gender equality in the workplace. We have been awarded Institutional Bronze Accreditation in the SAGE Athena SWAN program, recognising the University’s ongoing efforts towards achieving gender equity. 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?  Ranked in the top 2% of universities worldwide. Ninety per cent of Flinders research has been ranked at ‘world standard or above’ by Excellence in Research for Australia (ERA). 17% Superannuation + salary packaging options  Flexible working arrangements  Wide range of professional development activities, funds and services, such as Flinders University’s Researcher Development and Leadership Programs. 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. 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. How to Apply and Information You are required to submit a CV and a two-page Suitability Statement addressing the key position capabilities of the position description. For more information regarding this position, we strongly encourage you to please contact Professor Trish Williams Applications to be submitted before 10:00 pm (ACST) on Thursday, 4 June 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: 04 June 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$217,876 plus 17% Superannuation

Posted

8 May 2026

Senior Manager, Business Intelligence

ADELAIDE UNIVERSITY

Adelaide University

Australia, Adelaide

institution

Adelaide University

Australia, Adelaide


Based in Performance Data and Insights at the City West campus Full-time, continuing position Salary Range: $132,705 - $141,974 per annum (plus 17% superannuation) At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive.  We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters The Senior Manager, Business Intelligence will lead a team of developers responsible for the design, development, and operation of the University’s business intelligence systems, overseeing small projects and continuous improvement initiatives. Reporting to the Director, Business Intelligence, you will contribute to the University’s Data and Analytics Strategy and lead relevant implementation initiatives, driving innovation in business intelligence and analytics by staying abreast of and leveraging the evolving capabilities of University platforms. You will also lead the design and development of analytic solutions that meet complex University information requirements, using Power BI and IBM Cognos Analytics on Oracle and Microsoft Fabric, in a dynamic environment characterised by diverse stakeholders, competing priorities, and challenging analytical questions. Curious to learn more? Explore the full role description below to discover more about this opportunity. The team Performance Data and Insights (PDI) delivers Business Intelligence, Forecasting and Performance, and Information Governance services that enable evidence-based decision-making across the University. PDI helps the University manage its information and maximise its value through well-curated tools and datasets, self-service resources, staff portal requests, and embedded College Office partnerships. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience:  Demonstrated experience leading and managing teams, with a strong focus on professional development and performance outcomes High-level interpersonal, communication and negotiation skills appropriate for working with a wide range of stakeholders both within the University and externally Demonstrated experience supervising a team of developers working within a software development lifecycle, using tools such as Jira Proven experience in the administration, design and development of enterprise business intelligence and analytics systems Excellent communication and stakeholder engagement skills, with the ability to influence and educate diverse audiences Extensive experience in communicating complex concepts Ability to work with a diverse range of internal and external stakeholders using a consultative and collaborative communication style to deliver business solutions Extensive experience in SQL and dimensional modelling concepts to support enterprise reporting and analytics Demonstrated experience with Microsoft Power BI or IBM Cognos Analytics, including building reports and dashboards, and designing semantic models that underpin reporting and enable effective self‑service analytics for end users Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Simply click on the Apply Now button and upload:  your current CV  a cover letter The online application form will list the specific selection criteria that you need to address Submit your application by 11:30pm Sunday 31 May 2026 For further information about this opportunity, please contact Kate Reynolds on kate.reynolds@adelaide.edu.au quoting reference number 493091. Alex Koszegi, Team Lead Talent Acquisition  +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

Salary

$132,705 - $141,974 per annum (plus 17% superannuation)

Posted

10 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

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Subjects Taught at Federal University, Dutsin-Ma

See below for a range of subjects taught at Federal University, Dutsin-Ma

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

Engineering

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Life Sciences

  • Agriculture and Forestry
  • Biological Sciences
  • Sport Science

Medical and Health

  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Social Sciences

  • Geography
  • Politics and International Studies
  • Sociology