Normandy University

Job Responsibilities Teach and assess at least 3 courses from the following 4 core subjects: Programming 1(Python) Fundamentals of AI Data Analytics & Machine Learning Deep Learning Develop course materials and curricula aligned with international standards and industry practices in AI, machine learning, and electrical engineering applications. Engage in applied research and publish in peer-reviewed journals. Collaborate with industry partners on AI-driven electrical systems, data analytics, predictive maintenance, and intelligent automation projects. Supervise student projects related to AI applications, machine learning models, data-driven engineering, and intelligent electrical systems.   Job Qualifications Master’s degree or above in Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, Automation, or a closely related field. Strong background in artificial intelligence, machine learning, data analytics, and programming. Proficiency in Python and experience with AI/ML frameworks. Practical industry experience in AI, automation, smart systems, or electrical engineering applications is an advantage. Excellent communication skills and a strong commitment to high-quality teaching in an international environment. Proficiency in English; knowledge of German and/or Chinese is a plus but not required.   Expected Onboarding Date August 2026 Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality Paid Holidays Statutory Holidays (13days) Annual Leave (25 days) Paid Sick Leave Paid Marriage Leave Paid Maternity Leave Paid Paternity Leave Parental Leave How to apply Please prepare the following documents: Current English CV(including full publication list) Cover Letter(addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor’s (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as ” Position – Your Name” Please send all files to recruitment@hibiuh.edu.cn

Build strong funding pipelines by proactively identifying emerging opportunities Full Time / 3 Year Fixed Term Appointment / Remuneration from $172,864 / Bundoora Campus Provide high level oversight of research projects and nurture strong industry, clinical and health sector partnerships About the position The Victorian Government has partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI). Founded in 2024, ACAMI is a collaborative centre spanning research, clinical trials, and workforce development at the intersection of AI and healthcare. It supports medical research institutes and industry partners, strengthening Victoria’s globally recognised life sciences ecosystem and ensuring it keeps pace with emerging AI advancements. Reporting to the Director and Chief Scientist of ACAMI, the Associate Professor (Research) will collaborate closely with the Director and Chief Scientist, Director of Development, the ACAMI team, and both internal and external stakeholders to advance ACAMI’s mission. This includes positioning the centre as a commercially sustainable entity that leverages AI, data and innovation to drive transformation and growth across AI-enabled medical and biomedical ecosystems in Victoria. The appointee will be expected to establish, attract and lead new research programs and teams within ACAMI, building capability by bringing together high performing researchers, postdoctoral fellows, academic collaborators, clinical partners and industry stakeholders around key AI-driven medical innovation themes. The role will provide senior research leadership likely in computational biology or AI in biomedicine while strengthening ACAMI’s research profile, expanding its external funding base, and enhancing its translational impact. Duties at this level: Attract, establish and integrate new research groups or research clusters into ACAMI, including identifying complementary research capabilities, engaging internal and external collaborators, developing major research plans and building sustainable programs supported by external funding and strategic partnerships. Secure significant external research funding from both industry and government sources by initiating large-scale competitive research funding proposals and building collaborative partnerships. Lead major research projects and emerging research groups within the Centre, guiding teams under ACAMI’s Director & Chief Scientist to deliver impactful AI solutions for real-world medical, biological and clinical challenges. Collaborate with ACAMI’s Director, Development and relevant University research, commercialisation and partnership teams to identify, protect and progress intellectual property, software, product and implementation opportunities arising from ACAMI research, including industry co-development, licensing, commercialisation or clinical adoption pathways. Skills and knowledge: Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area, such as AI/ML for mRNA, Computational Biology, Biomedical Informatics, Bioinformatics, Computational Medicine, or a related field. A substantial and internationally recognised record of excellence in AI-enabled biomedical, biological, clinical, health or medical innovation, demonstrated by applying AI/ML, computational, data-intensive or related approaches to significant medical and health challenges. A significant record of securing substantial external funding and partner investment to support AI-enabled biomedical, clinical, health or medical innovation, including through competitive grants, industry partnerships, government contracts, philanthropic funding and consultancies, with evidence of using such funding to build research capacity, support research teams and grow sustainable research programs. Please refer to the position description for other duties, skills and experience required for this position. Welcome to Bundoora campus – Please click on the video link below: https://f.io/KDo0ceng Benefits 17% superannuation Private Health Insurance discount Plus, many more, click HERE How to apply Closing date: Sunday 9th August, 2026 at 11:55pm Position Enquiries: Distinguished Professor Wei Xiang, ACAMI Director and Chief Scientist, School of Computing, Engineering and Mathematical Sciences, Email: W.Xiang@latrobe.edu.au Recruitment Enquiries: Vicki Stavrou, Senior Talent Partner, Strategy and Senior Appointments Email: v.stavrou@latrobe.edu.au Position Description below: PD-Associate Professor (Research) ACAMI.pdf For further information please click on the La Trobe University and ACAMI Research Scientist Flyer.pdf Please submit an online application ONLY and include the following documents: Cover letter; An up-to-date resume and Address the Key Selection Criteria We’d love to stay connected! If you would like to find out more about this School, please follow us on LinkedIn: School of Computing, Engineering and Mathematical Sciences: https://www.linkedin.com/company/82850345 Only candidates with Full Working Rights in Australia may apply for this position. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.  Our commitment to diversity and inclusion  La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Our commitment to safety All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in Higher Education  La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.

Overview Deliver core courses (e.g., Mathematical Modeling, Data Mining, Operations Research) and mentor students in the field of digital technology. Design engaging curricula, integrate industry practices, and assess student progress via projects/exams. Collaborate on program development and stay updated with technological advancements. We are seeking candidates for all faculty ranks (Lecturers, Associate Professors, Full Professors). Job Responsibilities Deliver interactive lectures and hands-on labs. Assess student performance through exams, projects, and feedback. Align the curriculum with standards and accreditation requirements. Support students doing internships Possess clear and focused research interests, conduct independent research in relevant fields, actively participate in the guidance of student competitions and academic projects, and provide supervision for students' degree‑related research in accordance with program arrangements. Proactively engage in research projects coordinated by the program team, and actively apply for research projects at the university, provincial, and national levels, as well as industry cooperation projects. Job Qualifications Skills: Preference for Python; expertise in Data Science and Mathematical Modeling. Experience: 2 years industry/academic experience or PhD, international experience (overseas study / overseas work experience) Education: Master’s+ in Data Science related field (international education/preference for overseas experience). Competencies: Bilingual (English/Chinese); strong organizational, problem-solving skills, and technical communication skills. Expected Onboarding Date August 2026 Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality Paid Holidays Statutory Holidays (13days) Annual Leave (25 days) Paid Sick Leave Paid Marriage Leave Paid Maternity Leave Paid Paternity Leave Parental Leave How to apply Please prepare the following documents: Current English CV(including full publication list) Cover Letter(addressed to the President) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor’s (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as ” Position – Your Name” Please send all files to recruitment@hibiuh.edu.cn