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Associate Research Scientist in the Water Research Center – Dr. Ali Trabolsi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Water Research Center, New York University Abu Dhabi, is seeking to hire an Associate Research Scientist to develop calix[n]arene-based covalent organic frameworks for water purification. The successful candidate will develop new calix[n]arene-based covalent organic frameworks for water purification applications. To explore this area of macrocycle-based porous frameworks for water contaminant removal, the candidate will be involved in the directed synthesis of organic macrocycle containing linkers and porous frameworks and then investigate the supramolecular interactions with various organic pollutants. This would require knowledge in the design and synthesis of porous frameworks, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding of the analytical techniques used to characterize the materials. Experience in the application of such materials to water treatment is preferred. The candidate will work in a multidisciplinary environment consisting of PhD scientists, graduate students, and undergraduate students. Applicants must have a PhD in chemistry or materials science. Excellent experimental and synthetic skills relevant to the project (particularly, synthesis of covalent organic frameworks) are required. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email Huden Khalil: hsk8152@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. UAE Nationals are encouraged to apply.
Salary
Competitive
Posted
16 Mar 2026
Research Engineer in the Division of Engineering – Dr. Yi Fang
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Embodied AI and Robotics (AIR) Laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Research Engineer to support applied research and development in artificial intelligence and robotics. The successful candidate will contribute to projects in Embodied AI, focusing on integrating AI-driven perception, reasoning, and action to enable intelligent robotic behavior across diverse environments. The position involves developing and testing embodied intelligence systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation, and experimental evaluation on robotic platforms, working closely with faculty, postdoctoral researchers, and students. The Embodied AI and Robotics Lab (AIR) develops intelligent robotic systems capable of understanding, learning, and acting in complex, dynamic settings. The lab’s work lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied agents that interact naturally and safely with humans and their surroundings. The lab collaborates closely with NYU’s global network, including NYU New York, and offers a vibrant, interdisciplinary research environment. Applicants must hold at least a Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, or have equivalent professional experience. Candidates should demonstrate technical proficiency in one or more of the following areas: Embodied AI and robot learning Vision-language-action (VLA) or multimodal AI modeling Perception, control, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based experimentation is highly desirable. The candidate should be motivated, detail-oriented, and able to work effectively as part of a collaborative, multidisciplinary team. For consideration, applicants should submit a cover letter, curriculum vitae, transcript, statement of research interests, and contact information for three references, all in PDF format. For further information, please contact Prof. Yi Fang, Director of the Embodied AI and Robotics Lab, at yfangl@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. If you have any questions, please email: mrasras@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. UAE Nationals are encouraged to apply.
Salary
Competitive
Posted
16 Mar 2026
Research Engineer / Fellow (Floating Breakwater) - TZY11
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 CFI Project (https://www.pub.gov.sg/-/media/PUB/Resources/Press-Releases/2024/06/Annex-A_Tranche-2-Research-Projects-Awarded-Under-CFI-Singapore.pdf). The primary role involves developing and validating Hydrodynamic models to study performance of integrated floating breakwater and marine renewable energy. Responsibilities include calibrating simulations with experimental/numerical data, performance analysis, 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. Hydrodynamic and Fluid Structure Interaction Modeling Perform Hydrodynamic simulations to optimize the design and performance of floating breakwaters. Develop 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) and, tidal energy systems. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave basin 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. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by supervisor. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., WAMIT, 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
16 Mar 2026
Postdoctoral Research Fellow in Discrete Element Modelling of Pharmaceutical Processes
University of Surrey
United Kingdom, Guildford
University of Surrey
United Kingdom, Guildford
The School of Chemistry and Chemical Engineering at the University of Surrey invites applications for a full-time Postdoctoral Research Fellow position, focussing on mechanistic modelling of pharmaceutical processes. This role offers a unique opportunity to join a dynamic research team focused on advancing the understanding of pharmaceutical formulation and manufacturing processes. The role The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based mechanistic models to simulate complex fluid and particulate systems. About you This role requires independent initiative, teamwork, and a proactive approach to problem-solving and innovation in pharmaceutical process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid models, such as DEM-CFD or DEM-SPH, is essential. For this position, a doctoral degree in a relevant discipline is required, although candidates nearing completion may be considered. Exceptional candidates with extensive experience may also be considered. The project involves collaboration with UK and international universities and industry partners, so strong teamwork and communication skills are essential. This is a unique opportunity for motivated candidates to contribute significantly to cutting-edge research in pharmaceutical process modelling. How to apply Please apply on the University website with your CV and cover letter also answering the criteria questions. Further details Job Description
Salary
£37,694 to £38,784 per annum
Posted
16 Mar 2026
Post-doctoral Fellow, Department of Data and Systems Engineering
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 533703 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We are seeking highly motivated researchers to join our project on “Planning and Scheduling of Automated Material Handling Systems in Semiconductor Manufacturing Environments.” This project is carried out in collaboration with leading semiconductor companies and targets real-world, industrially relevant challenges. Our goal is to advance cutting-edge research while ensuring strong practical applicability. The research will concentrate on three interrelated areas: a) Semiconductor Equipment Scheduling: In semiconductor fabs, a vast number of wafers are processed across hundreds or even thousands of manufacturing tools following highly complex workflows. We aim to develop optimization models and algorithms to improve wafer processing sequences across semiconductor manufacturing tools, with the objectives of reducing cycle times and lowering work-in-progress (WIP) inventory, thereby increasing throughput and overall manufacturing efficiency. b) Automated Material Handling System (AMHS) Scheduling: In modern semiconductor fabs, AMHS, typically realized through Overhead Hoist Transport (OHT), is responsible for transferring wafers between manufacturing tools. Given the massive production scale, the AMHS must handle tens of thousands of transports requests every day, ensuring timely and reliable delivery of wafers to the correct tools. Our research seeks to develop efficient and adaptive scheduling algorithms for AMHS systems to significantly reduce transport delays, improve material flow, and enhance coordination between logistics and manufacturing processes. c) Digital Twin System: We aim to construct a digital twin framework that integrates real-time data and simulation models to mirror the physical manufacturing and logistics systems. This enables performance monitoring, predictive analysis, and the evaluation of scheduling strategies in a virtual environment, thereby supporting more robust and adaptive decision-making in semiconductor manufacturing. Responsibilities: a) To address the above challenges, applicants are expected to formulate mathematical models of the problems and develop efficient solution methods, particularly by leveraging techniques from machine learning and operations research. b) The applicants are expected to deliver research outcomes to our industry partners, to support practical applications in semiconductor manufacturing. c) The applicants are expected to write and submit high-quality academic papers. Qualifications a) Education: Ph.D. in Automation, Industrial Engineering, Systems Engineering, Computer Science, or a closely related field. b) Technical Skills: Strong programming proficiency is required. c) Research Experience: Relevant research experience in related problem domains, or research experience in scheduling, routing, and multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas is a strong plus; Experience developing ML-based optimization approaches is a strong plus; A strong publication track record is highly desirable. d) Industry collaboration experience: Prior experience in collaborative R&D with industry partners is a strong plus. Application: Send your CV, a cover letter, and the contact information of three referees to Dr. Anbang Liu (anbang@hku.hk) and cc to Prof. Lin (shaoclin@hku.hk). The complete reference letters should be submitted as soon as possible after the application.
Salary
Competitive
Posted
16 Mar 2026