Temasek Polytechnic

Role type: Continuing, Full-time (Tenure) Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Level B - AUD $124,656 - $148,023 p.a. or Level C - AUD $152,695 - $176,065 p.a. plus 17% super (retirement savings system/pension scheme) Expand expertise in mathematics and statistics in a leading research intensive school / Shape data driven and foundational methods with real world impact / Collaborate both within and across disciplines Join us to advance mathematics and statistics research, inspire students, and help grow a world-class academic community. Investing in you - 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website. Your next career opportunity As a Lecturer or Senior Lecturer in Statistics, you will drive an independent, high quality research programme. You will contribute to innovative curriculum and teaching across undergraduate and MSc programs and supervise research students. You will have opportunities to collaborate with leading researchers across disciplines, both within mathematics and statistics and outside of the school. What you will deliver: Conduct independent research, disseminate results in leading outlets, and contribute actively to research seminars and conferences. Seek and secure external research funding, and supervise MSc and PhD students within an inclusive, supportive research environment. Prepare, deliver, and assess undergraduate and postgraduate subjects, including curriculum development and effective use of modern technologies. Provide academic mentoring, oversee coursework study programmes, and lead education for diverse student groups. Provide leadership and service to the school, university, and the discipline. You may be a great fit if you: Hold a PhD or equivalent research higher degree in mathematics, statistics, or a closely related discipline. Demonstrate research excellence through strong publications and an emerging or established international reputation, relative to opportunity. Show capacity to strengthen the school's research and education activities and broaden existing thematic strengths. Build productive research collaborations and attract competitive funding through national or international grant or contract schemes. Design and teach subjects at undergraduate and postgraduate levels, with clear evidence of supervision potential. Contribute collegially to a large school, including leadership and service , professional activity, and engagement with diverse communities. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including: Build future financial security with 17% superannuation Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - School of Mathematics and Statistics The School of Mathematics and Statistics is among Australia's foremost centres for mathematical sciences, recognised for outstanding research and teaching. Its large academic community spans continuing, research-only, and specialist staff, supported by strong infrastructure and competitive external grants. The School hosts ARC-funded centres and fellows and maintains active collaborations worldwide. Within the Faculty of Science, you will join a broad scientific community tackling questions from fundamental theory to pressing global challenges. http://www.ms.unimelb.edu.au Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process. Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at oied-hr@unimelb.edu.au. Application essentials: Visit "apply with us" to learn more about the process, including tips and FAQs. This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process. A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you. Please upload your resume and a cover letter outlining your interest and experience as part of the application process. Please upload your responses to the Selection Criteria, found in the Position Description. Want to know more? For queries related to this specific position or for questions related to our recruitment process email Lachlan Bryce at hr-careers@unimelb.edu.au For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments'). Apply today, and join a community that's shaping the future. Applications close: Sunday 16th of August 11:55 PM; Melbourne time zone. Position Description: JR-013576 Lecturer_Senior Lecturer in Statistics_PD.docx JR-013576 Lecturer_Senior Lecturer in Statistics_PD.pdf

Exciting leadership opportunity supporting the Hub's director and academic leads Located at Camperdown Campus Full time, secondment opportunity or fixed term for 2 years offering a base salary of $152,045 - $160,430 + 17% superannuation About the opportunity ARIAM Hub is an ARC Industrial Transformation Research Hub which brings together researchers from the University of Sydney, Queensland University of Technology and the Australian National University as well as 11 of Australia's most innovative technology companies. Launched in 2023, the Hub is developing new capabilities for intelligent robotic systems for inspection, monitoring, and maintenance of critical assets and infrastructure. The remaining two years will focus on project performance, milestone delivery, researcher career development and establishing a lasting legacy for the Hub. The Hub also runs (or co-organises) many activities including workshops, outreach events, and the Australian School of Robotic Systems (AuSRoS). We are seeking a Hub Manager who will: support the Director and leadership team in providing effective management of the Hub's activities in five key areas: research, research training, industry partner liaison, external engagement, and outreach supervise operational and admin staff in the Hub's operations team based at University of Sydney and provide support to a virtual team spread across the Hub's other nodes at the Queensland University of Technology and the Australian National University liaise regularly with industry partners and assist with onboarding new nodes and partners to the Hub as required work closely with the Hub advisory board to report on and assist with the delivery of the Hub's strategy oversee the Hub's operational budget and manage finances across all nodes, track key performance indicators, and prepare reports as required for management groups, external funding bodies, and governance committees. Drawing on your expertise in research, University operations or business, in this role you will play an active role in liaising with key stakeholders in industry, government, and academia; in managing the team's researchers, partners, and students; in research planning, research commercialization, researcher development, and helping to achieve the goals of the Hub while ensuring compliance with relevant legislative and regulatory controls, and a safe working environment for all staff. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Hub Manager who demonstrates: postgraduate qualifications and/or equivalent experience in management and administration in a multi-institutional research environment or similar financial management experience and literacy with experience managing budgets and controlling income and expenditure for a project outstanding communication skills and demonstrated capacity to liaise at the highest levels across industry, government, and university sectors strong strategic thinking skills together with effective leadership and people management skills proven management experience at a senior level, with capacity to adapt to changing circumstances and environments the ability to advise on effective governance for a multi-institutional research collaboration a broad understanding of university, industry and government frameworks influencing the Australian research context a genuine enthusiasm and interest in Science and Technology research, especially in robotics In order to apply, please submit your CV, Cover Letter and responses to the below questions and attach to your application: Describe your experience in the operational management of a complex organizational unit, involving budget management, project management, partner liaison, communication and leadership. Describe your experience in fostering and enhancing collaboration between Universities and Industry You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Rebecca Astar or Cherie Goodwin, Recruitment Consultants, Recruitment Operations by email recruitment.sea@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 21 July 2026 11:59 PM

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Applied Artificial Intelligence (AI) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Applied AI and related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied AI capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Equivalent industry experience may also be considered. At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated experience applying AI to the SIT’s focus areas Experience in one or more of the following areas will be advantageous: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit-learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++. Good grounding in mathematics, including probability, statistics, and algorithms. Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth. Strong technical writing, communication, and presentation skills. Good analytical, critical thinking, and problem-solving abilities. Proactive, resourceful, and able to take ownership of assigned responsibilities. What SIT offers: An applied research environment to tackle real-world problems together with industry partners Opportunities to shape a coherent applied AI research agenda with colleagues across disciplines and build Singapore’s applied AI research capability at a pivotal moment Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub