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Postdoctoral Fellow in Stochastic Optimisation
The University of Melbourne
Australia
The University of Melbourne
Australia
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
Salary
$85,555 - $145,121 p.a. plus 17% super
Posted
11 Jun 2026
Research Engineer (Inspection Technologies) - LYB5
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in its research pursuits. Our research staff have the opportunity to develop industry-relevant applied research capabilities while contributing to impactful research projects at SIT. We are seeking a Research Engineer with expertise and experience in inspection technologies to join an applied research project related to infrastructure maintenance. The successful candidate will work closely with the research team to investigate, test, and implement novel inspection solutions for an embodied AI-enabled robotic system for urban infrastructure maintenance. Key Responsibilities Learn and review inspection technologies for detecting defects at concrete pavers through literature studies Design and prototype a mobile inspection cart for pavers used at residential estates Evaluate and integrate test technologies from machine vision, thermography, and ground penetrating radar onto the inspection cart Conduct lab and field trials to progressively improve the functionality and practicality of the inspection cart Collect and analyse test data from the applied inspection technologies to measure their effectiveness in paver defect detection Prepare and contribute to technical documentation of the research project through reports and publications Supervise and mentor undergraduate students involved in the project Carry out risk assessment and ensure compliance with Work, Safety and Health regulations Requirements Bachelor’s degree or higher in Mechanical Engineering or a related field Technical skills in Computer-Aided Design (CAD) and Prototyping are essential Preferred Skillsets (Advantageous) Theoretical knowledge and interest in inspection technologies for defect detection Experience applying machine vision, thermography and/or ground penetrating radar
Salary
Competitive
Posted
11 Jun 2026
Demonstrator/Teaching Assistant in the Department of Psychology
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 534897 Work type: Full-time Department: Department of Psychology (30200) Categories: Executive / Technical / Support, Teaching Staff Demonstrator/Teaching Assistant (several posts) in the Department of Psychology (Ref.:534897) (to commence on August 15, 2026 or as soon as possible, on a one-year temporary basis or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Master’s degree or above in Psychology, Cognitive Science, Neuroscience, Statistics or a related discipline. Preference will be given to those with experience in teaching statistics and research methodology, cognitive science, neuroscience, biological psychology and perception. The appointee will assist in delivering courses at undergraduate and/or postgraduate level(s), supervising students’ research projects and providing general administrative support to the Department. He/she may need to work outside normal office hours, including evenings and weekends. Those with more experience in teaching, and student consultations/supervision may be considered for the post of Demonstrator. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. For a two-year fixed-term basis, the appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV, a covering letter and copies of academic transcripts. Review of applications will start as soon as possible and continue until June 15, 2026, or until the post is filled, whichever is the earlier.
Salary
Competitive salary
Posted
11 Jun 2026
Junior Research Scientist in the Division of Science (Psychology) - Dr. David Melcher
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Perception and Active Cognition (PAC) Lab at New York University Abu Dhabi (NYUAD) is seeking an Emirati Junior Research Scientist for a 30-month position supporting a collaborative research project between NYUAD and the National Academy of Childhood Development (NACD), a subsidiary of Abu Dhabi Early Childhood Authority. Applicants with a background in psychology, neuroscience, linguistics and developmental psychology are encouraged to apply. Terms of employment include competitive salary and benefits. This role involves on-site work across NYUAD and NACD facilities and focuses on interdisciplinary research at the intersection of psychology, neuroscience and linguistics. The ideal candidate will contribute to study design, stimulus preparation, data collection, and data analysis, working closely with NYUAD researchers and NACD stakeholders. The position also involves direct interaction with Emirati participants of all ages recruited through NACD, requiring strong communication skills and cultural sensitivity. Candidates must hold a bachelor’s degree or equivalent, though a master’s degree is preferred. The ideal candidate will have extensive experience with psycholinguistics, strong computational skills, and a background in developmental psychology or neuroscience. We are particularly interested in candidates with experience and interest in the Arabic language research, child development, and research involving local populations. Organizational skills and attention to detail are essential. Applications will be accepted immediately. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree/ copy of highest degree, research statement, and at least 2 contact references, all in PDF format. Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please reach out to David Melcher, email: david.melcher@nyu.edu About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD
Salary
Competitive
Posted
11 Jun 2026
Operations Manager
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
About RoboPrecinct@PDD SmartPrecinct@PDD initiative aims to develop a precinct-scale robotics and embodied AI ecosystem at Punggol Digital District (PDD). The programme establishes shared digital infrastructure, regulatory frameworks (including cybersecurity and safety), embodied AI capabilities, industry collaborations, and real-world test-bedding environments to enable safe and scaled deployment of robots in PDD. The Operations Manager will support the day-to-day operations of the Programme, ensuring effective coordination, administrative support, and smooth execution of programme activities. Key Responsibilities Programme operations and administration Provide operational and administrative support for SmartPrecinct@PDD activities as well as related SIT-company joint programmes. Prepare meeting materials, minutes, and programme documentation. Maintain programme documentation and information repositories. Resource management Manage procurement processes for programme-related services, equipment, and operational needs. Coordinate budget tracking and administrative processes related to programme expenditures. Logistics and secretariat support Coordinate meetings, workshops, business trips and other events related to the programme. Provide secretariat support for programme governance meetings and committees. Requirements Bachelor’s degree in business administration, engineering, or related disciplines. 3–5 years of relevant experience in operations management. Experience in administrative support such as procurement, event coordination, and programme documentation. Strong organisational and multitasking skills. Proficiency in office productivity tools. Good written and verbal communication skills. *Note: The incumbent will be appointed as Research Engineer/Research Fellow if successful.
Salary
Competitive
Posted
11 Jun 2026