London School of Economics and Political Science

Full-time, fixed term position for 5 years Based at our Melbourne (Bundoora) Campus Senior leadership opportunity within the Business Services team Lead the University's commercial leasing strategy across a complex, multi-campus property portfolio Drive contemporary leasing governance, revenue performance and strategic business development objectives. About the position La Trobe University is seeking an experienced and commercially astute Associate Director, Commercial Leasing to lead the planning, development and implementation of contemporary leasing practice across the University's property portfolio. Reporting to the Executive Director, Business Services, this senior role provides strategic, commercial and operational oversight of the University's leasing arrangements across all campuses, in both landlord and tenant contexts. The position plays a key role in ensuring the leasing function supports broader campus development priorities, strategic partnership objectives and the University's commercial and financial goals. You will lead the Commercial Leasing team, oversee existing leasing arrangements, and provide commercial leadership on emerging leasing opportunities. The role will also drive continuous improvement in leasing governance, systems, processes and assurance frameworks to support effective decision-making, risk minimisation and best-value outcomes aligned to university purpose. Working across a broad and complex stakeholder environment, you will partner with teams across asset development, infrastructure and operations, industry engagement, and the University Executive to provide authoritative advice and deliver strategic leasing results. Skills and Experience To be successful in this role, you will demonstrate: Extensive experience in commercial leasing and property asset management, including landlord and tenant arrangements, lease negotiations, third-party service provider management and lease lifecycle management. Proven experience leading and managing a significant and diverse leasing portfolio within a complex organisation. Strong commercial and financial acumen, including experience managing leasing revenue, budgets and portfolio performance. Highly developed stakeholder engagement, and management skills, with the ability to provide expert advice to senior executives and diverse stakeholder groups. Demonstrated leadership capability, with experience building and developing high-performing teams. A strategic mindset and the ability to align leasing activities with organisational priorities and long-term objectives. Outstanding communication skills, commercial judgement and a commitment to delivering exceptional stakeholder outcomes. Leasing governance framework management experience, including policy, assurance frameworks and reporting with the ability to run, maintain and continuously improve. Please refer to the Position Description for other duties, skills and experience required for this position. AD Commercial Leasing - ESMC1+ (5).docx Benefits Flexible work arrangements Access to professional development and leadership opportunities Meaningful work that directly impacts communities A collaborative, values-driven university culture View all benefits: http://www.latrobe.edu.au/jobs/working/benefits Closing Date: By 11:55pm on Sunday 26 July 2026 Position Enquiries: Executive Director Procurement Business Service Andrew Peacock E. A.peacock@latrobe.edu.au Recruitment enquiries: Senior Talent Acquisition Partner, Strategy and Senior Appointments m.magaton@latrobe.edu.au Only candidates with Full Working Rights in Australia may apply for this position. Please submit an online application ONLY and include the following documents: An up‑to‑date resume; and cover letter Please scroll down to apply. 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 of liberty or autonomy. Why La Trobe Develop your career at an innovative, global university where you’ll collaborate with community and industry to create impact. Enjoy working on our inspiring and stunning campuses – the perfect hub for industry, students and academics. Help transform the lives of students, partners and communities now and in the future.

Play a pivotal role in providing senior leadership for the Discipline's academic and research performance, strategy, and growth Fixed term (3 year) contract for Assistant Associate Dean underpinned by an ongoing Senior Lecturer/Associate Professor/Professor position Remuneration for Academic Level C ($146,897-169,387) or Academic Level D ($176,883 - $194,868) or Academic Level E ($227,847) About the Role The Assistant Associate Dean (AAD) is a key leadership role within the School of Computing Technologies, offering the opportunity to shape the direction and success of the Data Science & Artificial Intelligence (DSAI) Discipline. Working closely with the Associate Dean, DSAI, and the broader School leadership team, you will provide strategic and people leadership across the Discipline, supporting staff to excel in teaching, research and engagement. You will play an important role in representing the Discipline, fostering a collaborative and high-performing culture, and contributing to the School's ambitions for growth, innovation and impact across education and research. As an accomplished academic leader and recognised researcher in a DSAI-related field, you will bring a strong track record of research excellence, academic leadership and staff development. In this role, you will lead and grow research programs and teams, strengthen a vibrant and inclusive research culture, and build productive collaborations across RMIT and with external partners. You will also contribute meaningfully to teaching and learning, helping to deliver outstanding student outcomes in the discipline. With influence across both the Discipline and the School, you will help shape strategic priorities, contribute to academic governance and committee leadership, and advance the profile and performance of DSAI within RMIT and beyond. To be successful for this position, you will have: Proven academic leadership experience, with the ability to lead teams, build capability and deliver on strategic objectives. An established and respected research profile in a relevant field, with the capacity to lead and promote research excellence. A strong record of innovative teaching and curriculum contribution in a relevant discipline, supported by a sound understanding of contemporary learning and teaching practice. Strong understanding of relevant industry trends, priorities and the evolving higher education landscape. Strategic thinking capability, with the ability to translate organisational priorities into practical actions and outcomes. Highly developed interpersonal, communication, influencing and negotiation skills, with the ability to build strong relationships internally and externally. A collaborative and collegiate approach, with proven ability to work across teams, align stakeholders and achieve shared goals. Demonstrated ability to influence positive change, foster collaboration and promote excellence in teaching, research and academic performance. Qualifications Mandatory: A PhD in a relevant field (i.e., Data Science, AI or Computer Science), with experience, standing and achievements commensurate with appointment at Academic Level C, D or E at RMIT. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the School of Computing Technologies The School of Computing Technologies (SCT) is a globally connected and forward-looking school, recognised for world-class computing research and innovative education in information technology, data science and artificial intelligence. We are committed to shaping the future of technology through distinctive research, industry engagement, and a strong emphasis on diversity, interdisciplinarity and real-world impact. In the 2026 QS World University Rankings by Subject, RMIT was ranked 117 globally for Computer Science and Information Systems, placed in the 51-100 band for Data Science, and ranked 29 for Library and Information Management. The School offers programs across Computer Science, Software Engineering, Data Science, Artificial Intelligence, Cyber Security and Information Technology, and is one of Australia's largest and leading education providers in the field. SCT is a national leader in industry-connected learning across computing, data science and IT. Our undergraduate programs have been redesigned to provide a common foundation in programming, supported by an innovative Bootcamp2Studio model that combines immersive, challenge-based learning with strong industry relevance. This approach equips students with the practical skills, adaptability and confidence to make meaningful contributions in a rapidly evolving technology landscape. The School is led by the Dean, School of Computing Technologies, and has three disciplines: Cyber Security & Software Systems (CSSS) Data Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications, including in: Information Interaction and Information Retrieval Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science and Machine Learning Recommendation and Big Data Analysis Cybersecurity Software Engineering Digital Health Computer Science Education Learn more: https://www.rmit.edu.au/about/schools-colleges/computing-technologies To apply, please submit your application via the 'Apply' link below, ensuring you include: CV Covering letter A separate document addressing the Key Selection Criteria for the Assistant Associate Dean, DSAI position For further information about this position, please refer to the Position Description hyperlinked below or contact Professor Jeffrey Chan via jeffrey.chan@rmit.edu.au. For questions about the recruitment process, please contact Jennifer Pham, Senior Talent Acquisition Advisor, via email at Jennifer.pham2@rmit.edu.au or Senior Talent Acquisition Advisor, Bianca Jenkins via email bianca.jenkins@rmit.edu.au. Please do not send your application to these email addresses. Position Description - Assistant Associate Dean, Data Science & AI Discipline (3-Year) Position Description - Professor (ongoing) Position Description - Associate Professor (ongoing) Position Description - Senior Lecturer (ongoing) Please note: if you are viewing this advert on an external site, click 'Apply' and you will be redirected to RMIT's Jobs website, where the Position Description is available at the bottom of the page. Due to recent system upgrades, Position Description links may not function correctly on LinkedIn advertisements. Applications close on Sunday 12 July 2026 at 11.59pm. RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community, and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. In line with RMIT University's commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.All applicants will be required to complete a gender based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.Preferred candidates will also be required to undertake relevant pre employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT's safety obligations. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT (including alternate formats of application forms). To discuss adjustment requirements, please contact Dani, via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers. We are a Circle Back Initiative Employer - we commit to respond to every applicant.

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