State University of Trade and Economics

The Role and the Department Senior Project Manager (Research Professional Futures) The Senior Project Manager (Research Professional Futures) will lead and coordinate the delivery of the Research Professional Futures (RPF) project, funded by the Research England Development Fund (£4.5m). The postholder will manage all aspects of the project from inception to completion, ensuring delivery of strategic objectives. This includes oversight of resources, budget, people, and partnerships. Responsibilities will include; Lead the operational delivery of the RPF project, including development and implementation of the project initiation document and delivery plan, ensuring alignment with the project outcomes, delivery of milestones, risks and mitigations and funder expectations. Manage project governance, including coordination of the Commission, governance bodies, and reporting structures. Manage delivery of work packages including research, pilot interventions, competency framework development, and digital platform implementation. Provide robust financial management, procuring services and goods in line with financial regulations, liaising with post award finance to manage any budget variance and reporting to the project board and funding body. Monitor project progress against KPIs and milestones, prepare reports for funders and senior stakeholders, and manage risk and compliance. Coordinate the onboarding of project staff and contributors. Lead management of the commissioning of pilot projects, including application processes, evaluation, and reporting. Develop and implement stakeholder engagement strategies, working closely with the Community Engagement Manager and Commission members to ensure inclusive participation across RP and academic communities. Support the integration of AI tools and approaches across project activities, liaising with consultants and technical partners to ensure ethical and effective use. Provide day to day line management for the assistant administrator, setting clear objectives and reviewing performance, supporting development through the Personal Development and Performance Review (PDPR) process. Represent the project internally and externally, acting as a key point of contact for partners, funders, and sector bodies. Manage internal and external communications, working closely with the collective leadership team, Commission membership, and external communications and marketing agencies Support event logistics and delivery, with content led by the Community Engagement Manager. Represent the project at sector events and conferences and participate in relevant external professional networks and sector bodies The post will support the wider RPF team, across different institutions, and will be based in Research and Innovation Services at Durham University. Research and Innovation Services (RIS) provides guidance, expert advice and hands-on support for all aspects of research and research-related work, including securing funding, working with partners, undertaking knowledge exchange, demonstrating impact, commercialising outputs, ensuring good research practice and supporting professional development. The base location for this role is Boldon House, our exciting new professional services hub. Boldon House is situated on the outskirts of Durham near the Arnison Centre in Pity Me. Boldon House brings a number of professional services teams together in a vibrant office environment which supports collaborative working and is designed to embrace hybrid working. There will be requirements at times to travel within the UK to attend meetings with the project leadership and delivery teams, and for wider sessions such National Commission meetings. Further information about the role and the responsibilities is at the bottom of this job description.

Te Kaupeka Pūhanga | Faculty of Engineering Te Kura Pāngarau | School of Mathematics and Statistics Located in Ōtautahi - Christchurch, Aotearoa - New Zealand Full-time, 37.5 hours per week (1.0 FTE) Continuing (permanent) position Generous annual leave provisions and professional development opportunities Āu Mahi | What You Will Do We have an exciting opportunity for a Lecturer (Teaching & Administration) to support our programmes in the School of Mathematics and Statistics. The team has a wide range of responsibilities, including supporting students, teaching, tutoring, and developing resources. You will be involved in student support and teaching at undergraduate and postgraduate levels. In this role, you will: Deliver high-quality undergraduate and postgraduate teaching into our programmes, both at UC's Christchurch campus and at offshore locations with our partner organisations. Support learners across multiple modes of delivery, including on-campus, distance, and online. Engage with the School's Transnational Education (TNE) programme, with leadership and coordination responsibilities. Coordinate online and face-to-face engagement activities that support TNE students' connection with UC and readiness for transfer. Be a first point of contact, providing pastoral care and programme support to international students coming in via our TNE pathway from our partner universities. Special Role Requirements This position includes teaching responsibilities offshore, contributing to the joint education programme between the University of Canterbury and Qufu Normal University, Shandong Province, China. Mōu | Who You Are You have expertise in data science and a passion for teaching, research, and supporting student success. You will bring: An MSc or PhD in mathematics, statistics, data science, computer science, or a closely related discipline. Demonstrated experience in delivering effective teaching at tertiary level that allow a wide range of learners to succeed. Excellent oral and written communication skills, effective time management, and familiarity with digital technology. Enthusiasm for supporting students in a multicultural environment. Ability to provide academic, pastoral, and programme support to international tertiary students. A collegial approach and willingness to contribute to School and University service. Commitment to equity, diversity, and inclusion, and respect for Aotearoa New Zealand's bicultural heritage and Te Tiriti o Waitangi. Mahi Ngātahi | Who You Will Work With The School of Mathematics and Statistics sits at the heart of the University, teaching into programmes across campus and spanning a wide range of disciplines. We offer a variety of degrees in Mathematics, Statistics, Financial Engineering, and Data Science. We aspire to be a productive, dynamic, and inspiring community, committed to maintaining a collegial and supportive environment where staff at all career stages are encouraged to grow, collaborate, and do their best work. Ngā Painga o UC | Why UC Tangata Tū, Tangata Ora - Engaged, Empowered, Making a Difference. We believe in creating a welcoming and empowering workplace where everyone feels valued. Our values of manaakitanga (care and respect), whanaungatanga (connection and belonging), and tiakitanga (stewardship and sustainability) guide our actions and reflect our dedication to fostering compassion, collaboration, and excellence. We are deeply committed to accessible higher education and breaking down barriers related to distance, financial means, gender, or ethnicity. We empower our graduates and staff to make a real impact in their communities and beyond. What We Offer UC provides a flexible and family-friendly working environment with benefits that support wellbeing, career progression, and work-life balance, including: Parental leave benefits, including nine weeks of paid UC parental leave and 26 weeks of Government-paid parental leave. Relocation support for international and domestic candidates. Generous leave policies, including five weeks' annual leave and five additional University holidays. Flexible working arrangements. Opportunities for professional development and continuous learning. Onsite paid childcare facilities to help balance work and family life. Generous employer contributions to superannuation (up to 6.75%). A unique working environment on a beautiful campus, with access to facilities such as the recreation centre, Staff Club, and onsite cafés and eateries at discounted rates. For more information on our benefits, please visit https://www.canterbury.ac.nz/joinus/benefits/. This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement, and the following salary scale applies: Lecturer (Teaching and Administration) $70,258 - $123,687. The closing date for this position is: Sunday, 28 June 2026 (midnight NZ time) Please note that applications will be reviewed after the closing date. Pēhea te tono mai | How You Apply Applications for this position must be submitted on our careers website and should include the following: A cover letter, including your reflections on relevant multicultural aspects of student support and ways you could contribute to international student exchange and engagement in our School (maximum one page), and a statement outlining your teaching philosophy, approach, and experience across different modes of delivery (maximum one page), combined into one document. A resume. Please note: there are only two upload fields, so please amalgamate the above requested documents into two documents (preferably PDFs). We do not accept applications by email. However, we are happy to answer any queries at WorkatUC@canterbury.ac.nz. For further information specifically about the role, please contact Clemency Montelle, Head of School, Mathematics and Statistics, at clemency.montelle@canterbury.ac.nz. For overseas applicants, please visit Immigration New Zealand to review the latest health and visa requirements for visiting and working in New Zealand.

Role type: Full time, Fixed Term (3 years) Faculty: Faculty of Science School: School of Mathematics and Statistics Salary: Level A: $85,555 - $116,094 p.a. plus 17% super Level B: $122,212 - $145,121 p.a. plus 17% super ARC funded stochastic optimisation project on correlated restless bandits / collaborate with leading international investigators / develop independent research profile Join us to shape new theory and applications in stochastic optimisation and mentor emerging researchers. 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 You will join an ARC Discovery team advancing stochastic optimisation for highly correlated restless bandit models. You will collaborate with leading investigators across Melbourne, RMIT and Spain, developing your independent research profile. You will also co-supervise research students and contribute to teaching within a world-class mathematics school. What you will deliver: Conduct high quality research in stochastic optimisation, focusing on theory and applications of correlated restless bandit models. Collaborate closely with chief investigators and research partners to design studies, analyse results and publish impactful outputs. Prepare and contribute to competitive grant proposals and related research documentation under guidance from senior academics. Co-supervise and mentor postgraduate and honours students, supporting their research training and academic development. Present research at seminars and conferences, and participate in School service, outreach and diversity activities. You may be a great fit if you: Hold or submit a PhD in mathematics, optimisation, stochastic modelling or a closely related quantitative discipline. Demonstrate strong expertise in stochastic optimisation, including experience applying advanced methods to complex modelling problems. Bring experience contributing to research projects, from problem formulation to analysis, publication and dissemination of findings. Contribute to supervision or mentoring of undergraduate or postgraduate research students in mathematical or related fields. Work effectively within collaborative research teams while also progressing individual projects with limited supervision. Communicate research clearly in English, both in writing and presentations, to academic and broader audiences. 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 Joining the School of Mathematics and Statistics, you will contribute within one of Australia's leading mathematical sciences communities. The school hosts numerous ARC-funded centres and fellows, with outstanding infrastructure and strong international research collaborations. Within the Faculty of Science, you will join a diverse, supportive environment that values curiosity, excellence and inclusion. 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: Saturday 11 July 11:55 PM; Melbourne time zone. Position Description: JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.doc JR-013912 Postdoctoral Fellow in Stochastic Optimisation_PD.pdf