Kuningan University (UNIKU)
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Research Fellow / Engineer (Renewable Energy and Coastal Protection) - TZY6
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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 researcher will be part of the team of the MCCS NATURE Project (https://www.nparks.gov.sg/Cuge/Programmes-Schemes/Research%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: 1. Wave Stochastic Analysis and Hydrodynamics Conduct advanced stochastic analysis of wave environments to evaluate the performance of floating structures. Analyze hydrodynamic behavior of floating breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite element models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze mechanical connectors for the integration of multi-purpose floating breakwater systems, ensuring structural stability and durability. 4. Design and Integration Develop innovative designs for floating breakwaters that integrate wave energy converters (WECs), tidal energy systems, and solar energy platforms. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave flumes or basins to validate computational models. Analyze experimental data to improve and validate the floating breakwater design. 6. Research Documentation and Dissemination: Prepare technical reports, research papers, and presentations to disseminate findings to academic and industry stakeholders. Contribute to project proposals and progress updates for funding agencies. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. 7. Project Management Support: Ensure timely execution of project milestones Coordinate with external collaborators and manage data-sharing protocols. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry standard will be an advantage Ability to work independently and in teams in both lab and field environments. Excellent communication (verbal and written) and teamwork abilities Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work
Salary
Competitive
Posted
5 Mar 2026
Post-Doctoral Associate / Associate Research Scientist in the Division of Engineering
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Future-Generation of Resilient and Infrastructure Design Technology Hub (Future-GRID TecH) in the Division of Engineering at New York University Abu Dhabi, seeks to recruit one motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed Moustafa to carry out cutting-edge research in the broad area of future structures and resilient infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications; and previous or relevant experience in mentoring or supervising undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development; expertise in computational mechanics and finite element simulation and modeling; expertise in laboratory and multi-scale experimental testing at the material, component, and structural levels. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists and undergraduate students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences, mentor undergraduate students, and participate in writing research grant proposals. To be considered, all applicants must submit the following documents in PDF format via Interfolio: Cover letter Curriculum vitae with full publication list Statement of research interests and plan Transcript 2 Recommendation letters Three sample (recent and/or most relevant) journal publications Contact details of two references The terms of employment include a highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children (if applicable). Applications will be accepted immediately and candidates will be considered until the positions are filled. If you have any questions or require more information, please email: mohamed.moustafa@nyu.edu About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. UAE Nationals are encouraged to apply
Salary
Competitive
Posted
5 Mar 2026
Faculty Openings in Food, Chemical and Biotechnology
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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.
Salary
Competitive
Posted
5 Mar 2026
Associate Professor on Tenure Terms or Tenure-Track Assistant Professor in the Faculty of Arts
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 534505 Work type: Full-time Department: Faculty of Arts (04000) Categories: Professoriate Staff Applications are invited for a joint appointment as Associate Professor on tenure terms or Tenure-Track Assistant Professor in the Faculty of Arts and the School of Computing and Data Science (Ref.: 534505), to commence on August 1, 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. This is an open-discipline call. We are seeking outstanding Humanities scholars capable of developing a creative and innovative programme of research and teaching bridging existing disciplinary strengths in HKUArts and artificial intelligence applications. The appointee will have their tenure home in their specific (inter)disciplinary unit in the Faculty of Arts, but will be jointly appointed to the School of Computing and Data Science and will also become a member of the Institute of Data Science (IDS). As an AI+Arts hire the appointee will foster cross-disciplinary collaborations between strategic research areas in the Faculty and, with the support of the Arts Technology Lab and its staff, take a leading role in applying artificial intelligence (AI) to their research and teaching in the Arts and Humanities. They will develop and maintain high-calibre research, publish their research findings with reputable journals and/or presses, and present their research at conferences, secure external funding through applications for grants, teach courses, mentor students, contribute to service and engage in the scholarly activities of the Faculty. Their teaching will support our AI-rich programme offerings. Applicants should possess a Ph.D. in a relevant field. The ideal candidate will demonstrate a robust research record with a cross-disciplinary approach spanning multiple subfields; a strong commitment to excellence in both research and teaching; and proven academic leadership qualities to contribute to interdisciplinary programmes such as BA&BEng(AI&DataSc) and BA(HDT). The Faculty of Arts The Faculty of Arts, founded in 1912, is a research-led, English-medium faculty offering undergraduate, taught postgraduate, and research postgraduate programmes. One of the University’s three original faculties, with over 3,600 students and some 220 full-time academic and 90 administrative staff, the Faculty of Arts is China’s most international English-language Arts faculty. The quality and comprehensiveness of humanities research and teaching in the Arts Faculty distinguish HKU from other top-ranking universities in China, and make HKU a key vantage point for the study of China’s past and present in relation to the world. The Faculty delivers impact through internationalization, innovation and interdisciplinarity. The Faculty ranges from 1st-4th place in Asia and from 14th-54th in the various world rankings. HKU is the only Asian university in the top 30 ‘Best Universities for Arts and Humanities.’ While HKU regularly places in the top 1-2 most ‘international’ universities in the global rankings, Arts is its most international faculty with 75.7% international professoriate staff. More information about the Faculty is available https://arts.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence and 21st in Computer Science and Information Systems in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. What we offer The successful candidate will be jointly appointed by a Teaching Department in the Faculty of Arts and the School of Computing and Data Science best aligned with the candidate’s expertise. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary for fixed-term appointment. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. Review of applications will commence as soon as possible and continue until April 30, 2026, or until the post is filled, whichever is earlier. The University is committed to diversity and inclusivity. The Faculty of Arts expressly encourages qualified persons from all genders to apply.
Salary
Competitive salary
Posted
5 Mar 2026
Robotics Engineer (Embodied AI Applications) - LYB3
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
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.
Salary
Competitive
Posted
5 Mar 2026