IQS School of Management

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 primary responsibility of this role is to deliver on an industry funded research project where you will be part of the research team to develop advanced Nuclear Quadrupole Resonance (NQR) scanning technologies. Job Responsibilities Participate in 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: i. Conduct comprehensive literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and experimental setup. iii. Conduct lab and site tests to evaluate the performance of NQR prototype. iv. Generate design documents and test documents at every stage of development until the final prototype. Coordinate procurement and liaison with vendors/suppliers. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.  Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Has a bachelor’s degree in Electronics; Specialization in RF/Microwave or Digital Signal Processing (DSP) is preferred. Has solid knowledge of electronics, including circuit design, PCB layout, and hardware troubleshooting. Has relevant competence in the areas of Radio Frequency design and measurement; Familiarity with high-power amplifier systems is a plus. Has relevant experience in the areas of Digital Signal Processing (DSP) design and implementation is a plus. Experience in electromagnetic simulation using CST Studio Suite and circuit simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental skills and theoretical knowledge in electronic circuits, and RF or DSP design, with the ability to apply hands-on prototyping and system development. 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

Description The Haven Lab, in the Division of Engineering and the Center for Cyber Security, New York University Abu Dhabi, invites applications for a Post-doctoral Associate position in security and privacy. The lab's mission is to provide individuals with control over their privacy and protection from digital threats. We want to work towards a future where digital services are inherently designed with user privacy and safety at the forefront. Current research thrusts involve: Large-scale measurements on the web to understand and characterize harmful online phenomena. Development of AI-based countermeasures for security and privacy, especially in on-device settings. Investigation of attacks/defenses on AI-based systems. More information on Dr. Siby’s research is available at https://sandrasiby.github.io/. The lab website can be found at https://sites.google.com/nyu.edu/haven-lab The successful candidate will engage in research that includes applied machine learning, systems building, and Internet measurements. Key Responsibilities: Contribute to driving and developing the lab's research directions and methodologies. Lead and collaborate on high-impact research projects in applied security and privacy. Mentor Ph.D./Master's/Bachelor’s students, providing guidance on research projects. Participate in developing coursework and organizing academic and community outreach events. Engage with academic and industry partners to advance the lab's research goals. Qualifications: A Ph.D. in Computer Science, Engineering, or a related discipline, with a focus on security, privacy, or applied machine learning, and with less than 5 years post receipt of PhD. Demonstrated research experience in at least one of the lab’s research thrusts. Good programming and analytical skills, and willingness to work with new technologies/systems. Excellent communication skills and the ability to work effectively in a collaborative environment. For consideration, applicants need to submit a cover letter, curriculum vitae, research statement, transcript or degree, and at least two recommendation letters, all in PDF format. Applications will be accepted immediately and candidates will be considered until the position is filled. If you have any questions, please email: sandra.siby@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. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing research projects with strong industry relevance, focusing on product development, process optimization, and food characterization. Key Responsibilities Lead and manage fundamental research projects on mechanical and textural characterisation of meat and novel foods in close collaboration with Principal Investigators, co-PIs, and academic partners from NTU and A*STAR. Establish a nanomechanical and macro textural foundation for small sample cultivated meat using advanced tools such as AFM, micro-indentation, and micro texture analysers (e.g., TA.XT plus), Confocal Laser Microscopy Imaging etc for the purpose of quantification of hardness, chewiness, springiness, fracture stress, and fracture strain for small sizes of food samples Compare the feasibility, resolution, and accuracy of AFM, indenters, and micro-TA probe type systems specifically for characterising cultivated meat, contributing method development knowledge to the field. Deploy dynamic oral processing simulation platforms, including tribology, Kramer shear cell testing, and mastication simulators to investigate breakdown characteristics, brittleness vs. plasticity, and frictional/lubrication properties. Generate mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling quantitative comparison between cultivated meat and conventional animal meat, and identify key textural descriptors defining equivalence. Develop novel experimental or analytical methodologies to address current gaps in small sample meat texture characterisation and oral processing simulation. Consolidate experimental data into robust evidence packages for academic publications, grant reporting, and translational research decisions. Coordinate project timelines, milestones, resource allocation, procurement, and compliance with institutional and ethical requirements. Prepare and submit high quality scientific manuscripts to peer reviewed journals, as well as technical reports, progress updates, and final deliverables for funding agencies. Engage actively with internal and external academic collaborators, organise progress meetings, and contribute to technology transfer where relevant to open science or public benefit. Present research outcomes at international conferences, academic seminars, and stakeholder meetings, and contribute to outreach through approved communication channels. The candidate is to communicate with all relevant internal and external stakeholders as required to meet the project deliverables. Any other adhoc duties assigned by supervisor. Job Requirements PhD or Doctoral Degrees in Food Science, Food Technology, Food Engineering, Physics, Material Science, Mechanical Engineering, Biomaterials, Biological Engineering or a closely related discipline. Strong background in mechanical properties of soft matter, food texture analysis, or biopolymer/tissue mechanics, with demonstrable experience in cultivated meat, plant-based meat analogues, or animal tissue characterisation. Hands on experience with mechanical characterisation tools (AFM, indentation, DMA, texture analysers, rheometer and tribology, CLSM, low field NMR) and a solid understanding of fracture mechanics (stress/strain, hardness, chewiness, springiness). Proficiency in oral processing simulation techniques such as tribology, Kramer shear testing, and/or mastication simulators, with the ability to interpret breakdown and lubrication behaviour in a mechanistic context. Competence in multivariate statistical analysis, particularly PCA, 3D PCA, or other dimensionality reduction methods for integrating complex, multimodal datasets. Experience working with limited sample volumes, and ability to design robust experimental protocols for small batch cultivated meat production. Evidence of scientific productivity, including first-author publications in peer-reviewed journals, conference presentations, or equivalent outputs. Ability to translate complex experimental outcomes into testable hypotheses and conceptual frameworks, rather than product-focused deliverables. Strong project ownership and autonomy, with capacity to balance scientific depth, reproducibility, and methodological rigour. Excellent scientific writing skills, with proven ability to prepare manuscripts, funding proposals, and technical documentation. Detail-oriented, self-motivated, and capable of working independently as well as collaboratively within multidisciplinary academic teams when under stress. Good communication and stakeholder management skills, including liaison with lab and equipment managers, finance and procurement team, equipment vendors, and external academic partners.