Philippine Christian University

Job Description FACULTY OF SCIENCE DEPARTMENT OF MATHEMATICS Instructor I / Instructor II (25260593) The appointee is expected to take up academic and administrative responsibilities in the Department. The incumbent should collaborate effectively with stakeholders within the department and external collaborators. The appointee should demonstrate a high degree of self-efficacy and be able to serve as a role model for less experienced course assistants. Responsibilities : Delivering and preparing materials for tutorial classes; Assisting course instructors in conducting in-class exercises, marking assessments and class administration; Assisting faculty members and the General Office in organising academic and/or student activities; Mentoring less experienced course assistants; and Other academic and administrative responsibilities as assigned by the Head of Department, or Programme Directors. Requirements: A master’s degree in Mathematics, Statistics, or related disciplines; Good command of written and spoken English and Chinese (including Putonghua); Good analytical and problem-solving abilities; Strong communication and interpersonal skills; Self-motivation and willingness to learn; and Preferably proficiency in MATLAB/R/SAS. Candidates with less experience will be considered for the position of Instructor II. The initial appointment will be made on a fixed-term contract of two years. Re-appointment thereafter is subject to performance review, mutual agreement and availability of funding. 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 8 weeks 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 position is filled.

Associate Professor / Professor – Artificial Intelligence/ Machine Learning, Computer Science (Teaching Track) Illinois Institute of Technology – Mumbai Campus About the University Illinois Institute of Technology (Illinois Tech), based in Chicago, USA, is a private, Ph.D.-granting research university with globally recognized programs in architecture, engineering, computing, sciences, humanities and social sciences, psychology, business, law, and design. Illinois Tech is ranked #1 in Illinois and #23 nationally in The Wall Street Journal’s “America’s Best Colleges 2024.” The College of Computing at Illinois Tech is expanding its global presence through the establishment of a new campus in Mumbai, India. The Mumbai campus will offer the following degree programs: Bachelor’s in Computer Science Master’s in Computer Science Bachelor’s in Artificial Intelligence Master’s in Artificial Intelligence Master’s in Data Science To support these programs, Illinois Tech invites applications for Associate Professor and Professor level teaching-track faculty positions in Artificial Intelligence and Machine Learning. Position Summary Illinois Institute of Technology invites applications for Associate Professor and Professor teaching-track faculty positions at its Mumbai campus. These positions focus on delivering high-quality undergraduate and graduate instruction in Artificial Intelligence, Machine Learning, and related areas of Computer Science. Candidates should demonstrate a strong commitment to teaching excellence, student mentorship, and curriculum development. Senior faculty will also contribute to academic leadership, program development, and mentorship of junior faculty, helping to build strong AI and ML programs at Illinois Tech’s Mumbai campus. Courses will be delivered in person in Mumbai, India. Online teaching is not an option. Key Responsibilities Teach undergraduate and graduate courses in Artificial Intelligence and Machine Learning Deliver courses in areas such as: Machine Learning Deep Learning Advanced Artificial Intelligence Natural Language Processing (NLP) Data Preparation and Data Analysis Contribute to curriculum development and course design for AI and ML programs Mentor and advise undergraduate and graduate students Participate in departmental, college, and campus service activities Provide academic leadership and mentorship to junior faculty Support the development and growth of Illinois Tech Mumbai academic programs Qualifications Applicants must have: A Ph.D. in Computer Science or a closely related field by the start of the appointment Demonstrated excellence in university-level teaching Strong expertise in Artificial Intelligence and Machine Learning Strong communication and interpersonal skills Ability to teach advanced AI and machine learning courses For Associate Professor and Professor-level candidates, the following are preferred: Significant experience teaching undergraduate and graduate AI/ML courses Evidence of curriculum development or academic leadership Experience mentoring students and junior faculty A record of scholarly or professional contributions in AI, machine learning, or data science Application Requirements Applicants must submit the following materials: Cover Letter Curriculum Vitae (CV) Teaching Statement detailing teaching experience, teaching philosophy, and teaching interests Names and contact information for three or more professional references The faculty will deliver courses in person in Mumbai, India. Online delivery is not an option. If you are unable to upload the documents, please share your application pack at careers@daskalos.com

Competitive salary and flexible working arrangements within a supportive and collaborative environment.Lead strategic initiatives that strengthen leadership capability, team effectiveness, and a high-performing culture across a large and diverse university.Partner with senior leaders and key stakeholders to design, deliver, and evaluate leadership and professional development programs that drive organisational capability.The role Full Time, ContinuingLevel 7 - $101,421 - $110,819 (plus 17% superannuation)Albury-Wodonga, Bathurst, Dubbo, Orange, Port Macquarie or Wagga WaggaIn this role, you will design and deliver initiatives that strengthen leadership capability, build organisational capability, and support a positive, high-performing culture across the University. Working collaboratively with leaders and stakeholders across the organisation, you will implement programs that enhance talent development, professional learning, and staff engagement, contributing to the Universitys strategic priorities. About you To be successful in this role, you will bring: A relevant tertiary qualification and at least four years experience in human resources, organisational development, learning and development, or HR business partnering.Demonstrated experience designing, implementing, and evaluating organisational development initiatives and projects, such as leadership development programs, talent and capability initiatives, or culture change programs.Strong communication, influencing, and relationship-building skills, with the ability to work effectively with a diverse range of stakeholders.Excellent planning and organisational skills, including experience managing projects and programs end-to-end.Highly developed written communication and presentation skills, including experience preparing business cases, reports, and briefing materials.About us We are a university of the land and people of our regions. True to the character of regional Australia we have gumption, we have soul and we collaborate with others. We develop holistic, far-sighted people who help their communities grow and flourish. The Wiradjuri phrase yindyamarra winhanganha means the wisdom of respectfully knowing how to live well in a world worth living in. This phrase represents who we are at Charles Sturt University - our ethos. It comes from traditional Indigenous Australian knowledge, but it also speaks to the mission of universities - to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. The objectives of the Student Management Transformation Project are to implement the TechnologyOne Student Management System as part of a major transformation project to create a student-centric ecosystem that delivers a personalised, streamlined experience. This initiative will modernise our student management infrastructure and practices, enhance staff and student experiences, improve operational efficiency while ensuring compliance, and drive broader organisational change aligned with our long-term vision. Visit our website to learn about our great range of employee benefits. Charles Sturt University is committed to building a diverse workforce as shown through our Athena Swan Bronze Award, our Australian Workplace Equality Index Bronze Award and our membership of a range of diversity focused organisations including Diversity Council Australia and Pride in Diversity. We encourage applications from First Nations people, carers, people from culturally and linguistically diverse backgrounds, people with disability, neurodivergent people, and people of all age groups, genders and sexualities for all roles. To apply Click the Apply button and complete your application online, submit a "statement of suitability" demonstrating your skills, knowledge and/or experience relevant to the position (referencing the selection criteria in the position description) and upload your CV. If you experience difficulties applying online or for further information on completing the application process please visit our how to apply page or contact us. This position is open to Australian Citizens and Permanent Residents; or applicants who hold a current valid work visa commensurate with this position. Further information Additional information is available in the position description or by contacting: Katie Powell | Manager, Organisational Development | kapowell@csu.edu.au Closing Date: 11pm, 6 April 2026