Hochschule Fresenius

Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The SIT Centre for Intelligent Robotics is a strategic capability centre under RoboPrecinct@Punggol Digital District (PDD), responsible for developing and maintaining the core applied robotics and embodied AI capabilities required for precinct-level deployment of robotic systems. The centre is seeking a Robotics Engineer. This role is application-driven and system-oriented, focusing on the implementation, adaptation, and evaluation of state-of-the-art robotics algorithms on real robotic platforms. The successful candidate will work closely with physical robots and simulation environments to translate recent advances in learning-based robotics into robust, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods for robotic perception, decision-making, navigation, and manipulation. Apply reinforcement learning, imitation learning, and other skill learning frameworks to practical robotic applications. Integrate learning-based robot skills with full robot software stacks in ROS / ROS 2 environments. Develop and maintain perception and state representation pipelines using RGB-D and 3D sensing. Conduct simulation-to-real (Sim2Real) workflows, including data collection, model training, deployment, and testing on physical robots. Support system-level experimentation, benchmarking, and iterative improvement of embodied AI applications. Provide mentorship to undergraduate students in projects. Carry out risk assessment, and ensure compliance with Work, Safety and Health Regulations. Prepare technical documentation, reports, and implementation guides to support knowledge transfer and long-term maintainability. Contribute to publications and technical notes to disseminate research outcomes. The employee is to communicate with any internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Working knowledge of reinforcement learning, imitation learning, or learning-based control concepts. Familiarity with robotics simulation tools such as Gazebo, Isaac Lab, or MuJoCo. Practical experience with ROS or ROS 2 for real-robot software integration. Proficiency in Python and C++, with experience developing and maintaining production-level code. At least 2 years of experience in robotics research or industry projects. Preferred Skillsets (Advantageous) Experience working with mobile manipulators, humanoid robots, or quadruped robots. Exposure to motion planning, control frameworks, or whole-body control systems. Experience with real-world robot experimentation and deployment. Experience with embodied AI and robot manipulation benchmarking platforms such as LIBERO, ManiSkill, or RLBench is highly desirable. Knowledge of GPU architectures, GPU cloud computing services, and strong familiarity with Linux operating systems. Knowledge of BIM, universal scene description and scene composition Knowledge of physics and simulation parameters, as well as sensor simulation pipeline.

Ref.: 534630 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Professoriate Staff Research Assistant Professor in the Department of Pharmacology and Pharmacy (Ref.: 534630) We now invite applications for the captioned post. Duties and Responsibilities Design and conduct research on the epidemiology and pharmacoepidemiology of age-related diseases, including osteoporosis, sarcopenia, frailty, and other endocrine and metabolism related diseases. Lead research projects investigating the genomics, proteomics, and metabolomics of osteoporosis and related diseases. Publish original research articles in high-impact journals. Secure external competitive grants. Engage in collaborative projects both internally and externally. Supervise and co-supervise undergraduate and postgraduate students. Perform other duties as assigned. Requirements A Ph.D. degree, preferably in epidemiology, pharmacology, bioinformatics, data science, or related fields. At least 2–3 years of postdoctoral research experience is preferred. Strong background in big data analytics, machine learning, and multi-omics. Strong track record of high-quality research, demonstrated by publications and successful grant applications. Excellent project management and organizational skills. A high sense of responsibility and research integrity, with the ability to work independently, collaboratively, and under pressure. What We Offer The appointment will commence as soon as possible on a 1-year temporary basis. A highly competitive salary commensurate with qualifications and experience will be offered, with the possibility of renewal up to 3 years subject to satisfactory performance and funding availability. 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 start from March 19, 2026 and continue until May 31, 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

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY 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. As a young university, we encourage innovation and seek the right candidates to join us in realising our vision. We offer competitive remuneration, generous employment benefits access to funding to undertake research of relevance to industry, and the opportunities to inspire and nurture the next generation of skilled and work-ready graduates. We currently have positions available at all levels from Lecturer to Full Professor in Chemical Engineering or related disciplines. Priority skill areas include: process monitoring and control, industry 4.0, modeling, AI and ML applications for the process industries with particular emphasis on delivering step change improvements in process performance; Informatics for process and product development with a background in big data applications in biotechnology, process development or food technology; Quantitative scientific skills in physical chemistry/biochemistry/formulation to enable deeper process and product understanding in high value chemical, pharmaceutical biotechnology and/or food applications.   The successful candidate would be expected to teach core chemical of pharmaceutical engineering subjects and to develop applied research to support the continuing development of Singapore’s process industries. Requirements: A PhD in Chemical Engineering or related discipline Strong communication skills Aptitude for Applied Research leading to application of new knowledge to solve real-world problems A high level of digital literacy The following are desirable: Manufacturing, design or research experience in the process and related industries Knowledge and experience of Sustainability assessment as applied to the process industries Chartered or Professional Engineer status Successful candidates will join the Food, Chemical and Biotechnology (FCB) Cluster (one of five domain clusters in SIT), as members of a team of accomplished experts who are passionate about higher education and deeply involved with industry transformation through their applied research programmes.   Faculty in the FCB Cluster undertake funded industry-relevant research, teach courses in Chemical Engineering, Pharmaceutical Engineering and Food Technology as well as supervise graduate industry masters and doctorate students in relevant topics. They are also provided with paid leave to undertake consultancy work with industry and/or spend time attached to work with industry. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below.