Shoolini University of Biotechnology and Management Sciences

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.

Ref.: 534136 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-track Professor/ Associate Professor/ Assistant Professor (several posts) at the School of Computing and Data Science (Ref. 534136), to commence on September 2026 or as soon as possible thereafter. The appointment rank will be determined based on the qualifications and experience of the successful candidate. For Assistant Professors, the appointment will initially be made on a three-year fixed-term basis, with the possibility of renewal and with consideration for tenure before the expiry of the second three-year fixed-term contract, subject to satisfactory performance. Exceptionally outstanding candidates at Professor/Associate Professor level may be considered for appointment on tenure terms, subject to the University’s approval. 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. For more information about the School, please visit http://www.cds.hku.hk. The Positions The positions are open to all research areas in Computer Science, Artificial Intelligence, Data Science or a related field, including but not limited to: AI / IoT / AIoT Security; Computer Vision; Computing & Big Data Systems; Data Analytics & Technologies; Data Privacy; Digital Forensics; FinTech; Generative AI; Large Language Models; Theoretical Computer Science; Quantum Computing. The appointees will be expected to contribute to undergraduate and postgraduate teaching, supervise graduate students, conduct high-quality research, and participate in administrative duties at CDS. Requirements A Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field A strong commitment to excellence in research and teaching and proven qualities of academic leadership. A solid track record in research. Outstanding and internationally recognised research achievements are essential for appointment at Professor level. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, professional leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. A start-up package that is commensurate with the needs and experience of the appointee will be provided. How to Apply The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., a research statement outlining current and future research plans and interests, a statement on teaching philosophy, relevant teaching evaluations, alongside three recent published research papers, and the contact information / recommendation letters of three referees. Review of applications will commence as soon as possible and continue until June 30, 2026 or until the posts is filled, whichever is earlier. Those who have responded to the previous advertisement (Ref.: 533072) need not re-apply. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

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 Future Ship and System Design (FSSD) programme aims to develop strategic and innovative design capabilities for the maritime industry in Singapore and globally. Within this programme, Work Package WP2.2 focuses on research in several key areas: design Failure Modes, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels. The primary responsibility of this role is to contribute to research in design FMECA, functional FMECA, and ship sensing, as part of the WP2.2 research team within the FSSD programme. Key Responsibilities Work closely with the Principal Investigator (PI), Co-PI, and research team members to manage and execute the project, ensuring that all deliverables are successfully achieved.  Key responsibilities in this project include: Developing an FMECA analysis solution that integrates condition monitoring data to update actual failure modes, effects, and severity assessments. Designing and conducting experiments to simulate various ship fault conditions, implementing sensing for data collection, and developing an equipment health monitoring system. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. The Research staff is to liaise with all relevant internal and external stakeholders to ensure project deliverables are met. Any other adhoc duties as assigned by Supervisor. Job Requirements Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Have relevant knowledge in the areas of shipboard system design, FMECA and reliability analysis. Have a degree in Electrical Engineering/Mechanical engineering or equivalent. Knowledge of sensing, FMECA, equipment health management and programming will be advantageous. Knowledge of intelligent decision agents based on graph neural network or similar will an advantage. Key Competencies Good knowledge in reliability analysis. Experience in FMECA and equipment health management will be advantageous. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Major Challenges Integrating Multidisciplinary Knowledge The role requires expertise across multiple domains—FMECA, sensing technologies, data fusion, data analytics, and machine learning. Combining these diverse skill sets to develop a unified and reliable solution can be technically demanding. Complexity of Ship Systems Ship systems are large-scale, interconnected, and subject to complex operating conditions. Accurately modelling failure modes, effects, and criticality requires deep domain knowledge and careful analysis. Collecting High-Quality Sensor Data. Simulating Realistic Fault Conditions. Developing Reliable Fault Prediction Models. Ensuring System Integration and Practical Deployment Meeting Project Milestones and Deliverables