McNeese State University

Applications are sought from suitably qualified Papua New Guineans to fill the following positions within the School of Mathematics and Computer Science at this University. School of Mathematics and Computer Science The School of Mathematics and Computer Science is one of the leading academic Schools of the PNG University of Technology offering undergraduate and postgraduate degree courses in Mathematics and Computer Science. The postgraduate programs are Ph.D. and M. Phil in the two strands of the school. Both Ph.D. and M.Phil. are offered on campus. The undergraduate programs are Bachelor of Science in Computer Science and Bachelor of Science in Applied Mathematics. The school also offers Bachelor of Science in Applied Mathematics through the distance learning mode. The School annually publishes a refereed journal, research reports and annual reports. A good working environment with a multi-disciplinary qualified team is the strength of the School of Mathematics and Computer Science. The school has a vacancy for suitably qualified and highly motivated persons to fill the following position. Lecturer in Mathematics Primary Responsibilities Key Responsibilities The suitable candidate for this position should have demonstrated teaching and/or industrial experience in mathematics with knowledge of Applied mathematics, mathematical modelling or other relevant areas.  All candidates will be required to teach both undergraduate and postgraduate courses in mathematics, contribute to the department’s research and distance learning programs, actively participate in curriculum development and all departmental initiatives, and perform other administrative tasks as assigned by the school. Qualification & Experience A postgraduate degree in Mathematics or a related field from a recognized university is required for this position. Membership of a relevant professional association would be an asset. Conditions of Service Base Salary: Lecturer I – K47,080 – K57,518 per annum Lecturer II – K55,393 – K67,702 per annum Domestic Market Allowance: Lecturer I – K13,039.00 – K20,817 per annum Lecturer II – K16,08031 – K31,585 per annum (Level of appointment depends upon qualification and experience) Application Procedure Detailed application with curriculum vitae including certified copies of qualifications, names and addresses including email addresses, phone numbers of three (3) current referees including one from past/present employer, if any, should be sent to the address below: The Executive Director – Human Resources PNG University of Technology Private Mail Bag Lae, 411 Papua New Guinea Applications must be compiled and sent as one PDF file to recruitment@pnguot.ac.pg with an indication of their earliest availability to take up the appointment. PLEASE NOTE Deadline for all applications is 12th of June, 2026 Only shortlisted applications will be acknowledged.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Assistant Professor of Teaching Master of Science in Cross-disciplinary Technologies+ Doctor of Smart Manufacturing Wu Jieh Yee School of Interdisciplinary Studies (Post Ref.: 26/99) The Wu Jieh Yee School of Interdisciplinary Studies (WJYSIS) was established to deepen interdisciplinary studies and scholarly collaboration. WJYSIS positions at the fusion of excellence of interdisciplinary research and education. The School’s strategic areas are centred with the theme of sustainability and embraced by the fundamental engineering science and lead to smart future. WJYSIS is looking for experienced Assistant Professors of Teaching who will (i) teach multiple subjects in Master of Science in Cross-disciplinary Technologies+ (MScCT+) and Doctor of Smart Manufacturing (DSM), focusing on information systems, business and data analytics, electronic business, digital marketing and new media, smart manufacturing, artificial intelligence, etc., (ii) work on the promotions and admissions as well as the operations for MScCT+ and DSM, and (iii) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in engineering, data science, computer science, business, information systems, artificial intelligence, or other relevant areas; (ii) a minimum of 3 years’ experience in teaching relevant courses and relevant programme administrative experience; and (iii) good command of English and Chinese (including Mandarin). Candidates who possess a strong academic background but have less teaching experience, or those with lower qualifications but substantial teaching experience, will also be considered. Appointment The conditions of appointment will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will start immediately and continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

Salary Package: $112,550 (Level A.6) per annum, plus 17% employer's superannuation and annual leave loading. Appointment Type: Full-time, fixed-term appointment for 2 years, with a possibility of further renewal subject to funding Location: Macquarie University, Wallumattagal Campus, North Ryde The Role: An exciting opportunity exists for a talented and motivated researcher to join Macquarie University's School of Engineering and contribute to the project "Energy on Wheels: A New Approach to the Smart Grid with Electric Vehicles," a project funded by the Australian Research Council (ARC). You will develop a new model of electrical energy distribution, including renewable energy generation and electric vehicles. It will be used to optimize network resources across the grid, matched to energy supply and user demands. The project will include optimization and probabilistic analysis under practical engineering constraints. You will develop new tools for network optimization and performance analysis of a distributed smart grid with electric vehicles and renewable energy generation. You will collaborate with Profs Stephen Hanly, Iain Collings, Graham Town and Dr Hazer Inaltekin. There is a research plan that will guide the research but there is considerable scope for you to take a leadership role. There will be opportunities for supervision of postgraduate students as well. Selection Criteria To be considered for this position you need to provide a cover letter responding to the selection criteria below. Essential Criteria: A PhD in a field relevant to the research project A quality research record as evidenced by research publications in high quality international journals and conferences Strong mathematical and analytical skills, with a track record using applied probability and/or optimization in research work Experience with software packages such as Matlab/Python Strong interpersonal, written and verbal communication skills Commitment to collaborative research and teamwork The following qualifications are desirable, but are not essential for appointment: Desirable Criteria: Knowledge of electrical energy networks and/or electric vehicle charging Knowledge of stochastic networks Experience with PowerFactory Demonstrated ability to manage time effectively and the ability to work to deadlines Demonstrated ability to work effectively as part of a team Commitment and ability to work with graduate and research students How To Apply: please apply online and attach: a CV including a list of research publications a cover letter addressing the selection criteria contact details for two references Applications Close: Tuesday 30th of June at 11:59pm (AEST). We welcome international applicants. A criminal/police history check is required for this role. We reserve the right to progress or decline an application prior to the application closing date. Enquiries: Prof Stephen Hanly at stephen.hanly@mq.edu.au Pre-Employment Checks Macquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University. A Place Where You Belong At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. Flexible Work At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage our personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.