University of Basel

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Job Purpose 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. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be 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. 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 Robotics and Embodied AI (EAI) capabilities, building a cohort of academic staff who are keen and experienced working on industry problems in relevant areas. At SIT, academic staff will have the opportunity to shape and lead applied research in a unique real-world environment. Located within Punggol Digital District (PDD), SIT’s purpose-built campus serves as a living lab for precinct-scale robotics test-bedding, where academic staff can work with government and industry partners to develop, validate and deploy next-generation robotic systems safely and at scale. Candidates will contribute to industry-relevant research in embodied AI, simulation and digital twins, cybersecurity, robot operations and related areas, with a strong emphasis on translation into real-world applications. Through collaborations with leading robot companies and end-users, academic staff will help solve practical deployment challenges, build shared digital infrastructure, and train the next generation of robotics talent for Singapore’s future economy. Key Responsibilities Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Bring practical engineering skills to drive EAI innovations. Design, develop, and teach laboratory sessions and practice-based modules in Robotics & Embodied AI and related areas. 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. Job Requirements A good Bachelor’s degree or Master’s/PhD degree in Robotics, Mechanical/Electronics Engineering, Computer Science, or a relevant domain with demonstrated embodied AI research and/or application experience. 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 the following areas (ideally at least two): Policy Learning and Robotics Control: Imitation / reinforcement learning, generative policies, residual learning, cross-embodiment generalisation. Robotics Data Engineering: Data capture, synchronisation, calibration, evaluation harnesses and simulation data pipelines Foundation Models & World Models for Robotics: VLA grounding, planning interfaces and world-model reasoning for robots State Estimation, Perception and Sensor Fusion: 3D scene understanding, diagnostics, active and manipulation-centric perception System Integration, Deployment & RobotOps: ROS2 systems integration, runtime robustness, safety and field deployment engineering Swarm Robotics & Multi-Agent Systems: Decentralised coordination, shared mapping and resilient communications Fleet Management & Remote Operations: Mission control, tele-operation, network resilience and lifecycle operations Cyber-Physical Security & Trustworthy Robotics: Threat modelling, resilience, incident response, AI ethics and data privacy Experience applying embodied AI to real-world use areas will be advantageous, such as (non-exhaustive): Facility Management Healthcare Advanced Manufacturing Urban Systems Biotechnology & Chemical Engineering 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.

Monash University is seeking an outstanding clinical academic leader to become the next Professor and Head, School of Clinical Sciences at Monash Health, one of Australia’s largest and most significant clinical academic environments. Reporting to the Dean, Sub-Faculty of Clinical and Molecular Medicine, the appointee will provide strategic leadership across research, education, workforce development and partnership engagement within the School and broader Monash Health precinct. The role presents a rare opportunity to shape the future of an integrated academic health science environment and contribute to the ongoing evolution of the partnership between Monash University and Victoria’s largest health service. The School of Clinical Sciences at Monash Health is the Faculty’s largest clinical school and plays a major role in clinical teaching, translational research and clinician-scientist development. The successful candidate will lead a diverse and high-performing academic environment spanning medicine, surgery, paediatrics, psychiatry, obstetrics and gynaecology, radiology, nutrition and associated research centres. Monash University is seeking an accomplished clinician researcher with demonstrated leadership capability, strong strategic and organisational skills and an internationally recognised research profile. The successful candidate will bring a contemporary and collaborative leadership style, with the ability to foster interdisciplinary partnerships, strengthen translational research capability and support the ongoing development of a modern academic health science campus. The role will suit an ambitious and forward-thinking leader seeking the opportunity to shape organisational evolution within a globally recognised health and medical research environment. Monash University is a modern global university with campuses across Australia and international locations in Indonesia, Malaysia, China, India and Italy. The Faculty of Medicine, Nursing and Health Sciences is Monash’s largest faculty and is consistently ranked among the world’s leading centres for clinical, pre-clinical and health sciences. To learn more and apply, please visit: https://www.monash.edu/medicine/academic-recruitment-scs/_recache Confidential enquiries may be directed to: Suzanne Reiger suzanne.reiger@alumniglobal.com +61 (0) 433 796 161 Chris Davies chris.davies@alumniglobal.com +61 (0) 477 010 023 Closing Date: 5 June 2026

Ref.: 536314 Work type: Full-time Department: Department of Medicine, School of Clinical Medicine (20600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in the Division of Haematology, Medical Oncology and Haemopoietic Stem Cell Transplantation, Department of Medicine, School of Clinical Medicine (Ref.: 536314) We now invite applications for the captioned post. Duties and Responsibilities participate in basic and translational research in myeloid malignancies perform other duties as assigned Requirements Ph.D. degree in Biomedical Sciences, Molecular Biology or related disciplines strong passion for scientific and clinical research experience in next-generation sequencing, single-cell sequencing and bioinformatics is preferred What We Offer The appointment will commence as soon as possible on a temporary basis for one to two years, with the possibility of renewal subject to satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries. How to Apply The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will on start from June 3, 2026 and continue until June 20, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency