Hormozgan University of Medical Sciences

Schemes of Service: Research Division: Engineering Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to develop industry-relevant applied research skillsets while working on translational robotics and AI projects. The primary responsibility of this role is to support a joint SIT–DSO research project focused on evaluating and developing humanoid robot capabilities for door opening and doorway traversal in human-centric environments. The Research Engineer will contribute to humanoid robot system integration, teleoperation-based data collection, simulation-based synthetic data generation using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model development for sim-to-real humanoid manipulation research. Key Responsibilities Participate in and manage the research project together with the Principal Investigator (PI), Co-PI, and research team members to ensure project deliverables are achieved. Undertake the following responsibilities in the project: i. Humanoid Robot System Integration Configure and integrate humanoid robot hardware and software systems for door opening and doorway traversal tasks. Support calibration, perception, locomotion, manipulation, and control pipeline integration. ii. Experimental Testbed Development Design and set up representative door interaction experimental environments. Conduct baseline testing and benchmarking for humanoid manipulation and traversal tasks. iii. Teleoperation and Data Collection Develop and operate teleoperation pipelines for humanoid robot data collection. Collect, process, and manage robot demonstration datasets including perception, robot states, and control data. iv. Simulation and Synthetic Data Generation Develop simulation environments and synthetic data generation workflows using NVIDIA Isaac Sim and Omniverse technologies. Implement domain randomization and scenario variation pipelines for robust sim-to-real learning. v. AI Model Development Support development and evaluation of learning-based control policies using reinforcement learning, imitation learning, and visuomotor learning approaches. Assist in model training, testing, benchmarking, and deployment on real robotic platforms. vi. Research and Technical Reporting Conduct literature reviews and experimental studies related to humanoid robotics and sim-to-real learning. Prepare technical reports, publications, and presentation materials for project reviews and dissemination. Carry out Risk Assessment and ensure compliance with Workplace Safety and Health regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently and within a multidisciplinary team to ensure proper operation and maintenance of robotics equipment and experimental infrastructure. Assist in co-supervision of Final Year Project (FYP) or capstone students together with the project PI. To communicate and liaise with internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisors. Key Requirements Bachelor’s, Master’s, or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields. Experience in robotics software development using ROS/ROS2. Experience with robotic simulation platforms such as NVIDIA Isaac Sim, Isaac Lab, Gazebo, or MuJoCo. Familiarity with humanoid robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications. Strong analytical and problem-solving skills. Good written and verbal communication skills. Ability to work independently and collaboratively in multidisciplinary teams. The following will be advantageous: Experience with teleoperation systems and data collection pipelines. Experience with NVIDIA Omniverse or sim-to-real workflows. Experience with reinforcement learning frameworks or visuomotor policy training. Experience working with dexterous hands or humanoid manipulation platforms. Key Competencies Strong interest in robotics and embodied AI research. Able to build and maintain strong working relationships with internal and external stakeholders. Self-directed learner with strong initiative and ownership of work. Strong analytical and critical thinking skills. Proficient in technical writing and presentation. Able to work effectively in experimental and rapidly evolving research environments.

Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance. In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@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. 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. References [1] http://tiramisu-compiler.org/

Schemes of Service: Faculty Division: Food, Chemical and Biotechnology Employment Type: Fixed Term 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. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are 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. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. SIT is strengthening its applied Food Technology capabilities in food innovation, formulation science and product development, and is building a cohort of academic staff who are experienced in translating scientific knowledge into practical industry applications. Focus areas for Food Formulation and Product Development include: Food formulation and ingredient functionality Product quality and sensory evaluation Food processing and manufacturability Nutrition and healthier reformulation Sustainable and emerging food systems Responsibilities: Design, develop, and teach core food technology, food formulation and food product development modules. Lead or co-lead innovative applied research and industry collaboration projects with industry partners. Secure and manage research grants to support and develop applied research initiatives that strengthen Singapore’s food innovation, food manufacturing capabilities, and ingredient application sectors. Supervise and mentor students in applied research projects and Capstone Projects in food formulation, product design and product commercialisation. Qualifications: A PhD in Food Science, Food Technology, Food Product Development, Food Formulation, or a closely related discipline. Demonstrated expertise in food formulation, ingredient functionality, product development and/or applied food innovation. Strong aptitude for applied research, with the ability to apply new knowledge into practical solutions for real-world food industry challenges. Ability to teach, mentor, and supervise students in applied, hands-on, project-based and practice-oriented learning environments. Good understanding of the interrelationship between ingredients, processing, product quality, sensory attributes, nutrition, stability, cost and manufacturability. The following are desirable: Relevant industry experience in food product development, applications, technical service, formulation, innovation or manufacturing support. Experience in one or more of the following areas: healthier reformulation, clean-label systems, plant-based products, alternative proteins, functional foods, sustainable ingredients or food waste valorisation. Ability to integrate formulation science with food engineering, flavour chemistry, sensory science, food safety, nutrition, rheology, fermentation, protein chemistry and analytical testing. Key Competencies: Food formulation science and ingredient functionality and product design, with the ability to translate ingredient knowledge into practical formulation decisions. Product development across food categories such as beverages, bakery, confectionery, dairy, sauces, ready-to-eat foods, plant-based foods, alternative proteins, functional foods or health-oriented products. Healthier reformulation, including sugar, salt and fat reduction, clean-label formulation, functional foods, precision nutrition, sustainable ingredient use and alternative protein applications. Formulation for manufacturability, product stability, shelf-life, sensory quality, nutrition, cost and scale-up. Applied research and industry collaboration in food product innovation, product troubleshooting, ingredient application, formulation optimisation and pilot-scale product development. Excellent interpersonal, written, and verbal communication skills. High level of digital literacy and proficiency in relevant digital tools and technologies.