Indian School of Business

Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a Research Engineer to support the design and implementation of interactive AI and data science platforms across the Center’s research clusters. The successful candidate will collaborate with researchers and faculty across domains such as Foundations of Data Science, Enabling Technologies, Health, Education and Personalized Learning, and Bias, Ethics & Privacy, contributing to the development of prototypes, interfaces, and software infrastructure that translate research outputs into usable tools. Key Responsibilities: Design, develop, and maintain web-based and AI-powered platforms supporting CIDSAI research projects. Collaborate with faculty and postdocs on projects such as: Mathematical Collaboration Platform, Personalized Learning Systems and SmartClass AI Tutors, Health-focused conversational AI and multimodal interfaces, Bias detection and fairness-aware tools for ethical AI. Integrate machine learning models, visualization dashboards, and backend services. Contribute to data collection, testing, documentation, and dissemination of open-source resources. Qualifications: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Strong programming skills. Experience with machine learning frameworks and backend systems. Familiarity with cloud computing, API integration, data visualization, and database management. Ability to work in interdisciplinary research environments bridging theory, applications, and ethics. The appointment is for two years, with the possibility of renewal. 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 maximum three pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Further questions may be directed to Professor Pierre Youssef at yp27@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.

Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Research Assistant to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Research Assistant will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML for healthcare; Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Minimum Qualifications Currently has or is in the process of completing a bachelor’s or master’s degree from a recognized institution Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field Demonstrable research experience involving data pre-processing and preparation for machine learning models Demonstrable research experience in conducting experiments for training and evaluating deep neural networks Knowledge of multi-modal learning, transfer learning, transformers, or self-supervised learning Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Bachelor’s/ Master’s thesis conducted in the area of machine learning for healthcare and related topics First-author peer-reviewed published papers (or under review) Evidence of leadership and service activities in the academic domain For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@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. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply.  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: Professional Officers Division: Professional Officers Employment Type: Fixed Term Job Purpose The Professional Officer will support applied research and innovation in community and allied health, working with internal teams and industry partners to develop practical solutions. The role focuses on translating clinical and operational needs into scalable solutions that address challenges in meeting healthcare innovation targets through care automation, digital health, and other sustainable solutions for the community care sector. Professional Officers are expected to bring a strong healthcare-sector leadership track record, preferably at Assistant Director level or above, with proven experience in managing a business unit, service line, programme office, or multi-disciplinary delivery team. The role requires a hands-on leader who has carried business or KPI targets, generated industry projects through business development and partner engagement, secured funding or other cashable resources, and personally driven project execution to deliver measurable healthcare innovation outcomes, including project completion, value capture, manpower training, ecosystem outreach, and NRF KPI delivery evidence. Key Responsibilities Applied Research & Development Conduct reviews on healthcare innovation literature, frameworks, and assessment tools for both generic industry-wide and sector-specific applications, such as care automation, anti-frailty programmes, and cognitive screening technologies. Develop healthcare solution road mapping and development frameworks to support the identification and follow-through of innovation solutions for community and aged care providers. Support the development of healthcare solutions and applications through project execution (experimentation, data collection, analysis, and evaluation). Industry Collaboration Support collaborations with industry partners — Community & Aged Care Providers, Healthcare & Population Health Partners, and Technology Solution Providers — to understand problem statements and contribute to solution development. Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners). Participate in industry meetings, discussions, and project engagements to build and maintain the ICAH ecosystem network. Project Execution & Support Assist in leading the planning and execution of multiple healthcare innovation projects to ensure timely delivery of outcomes, specifically tracking the committed NRF KPIs: IaaS Service Volume, Innovation Initiatives, Value Capture, Manpower Training, and Ecosystem Establishment, with clear documentation of industry project completion, value generated, funding secured, partner commitments, and team contribution. Generate technical reports, presentations, and documentation on the development of healthcare solutions and applications, including the monthly ICAH operations report for management. Contribute to grant proposals and project submissions where required. Track project progress and maintain proper documentation of activities across the secured and pipeline project portfolio, including milestone status, risks/issues, partner commitments, funding status, value-capture evidence, training outcomes, and ecosystem outreach. Support the IaaS Center for Community and Allied Health Innovation in achieving measurable NRF KPI outcomes, including delivery of data analytics, innovation initiatives, value capture, manpower training, and ecosystem-establishment targets. Assist in leading the team to complete 12 data analytics projects and digital dashboards for industry, hospitals, aged homes, or non-profit organisations. Support the securing of $2M in industry- or agency-funded projects, new grants, or other cashable resources for SIT. Assist in leading the team to deliver 30 innovation projects and support deployment of 20 new or improved products, processes, or services to industry, hospitals, aged homes, or non-profit organisations. Support delivery of technologies and solutions through IaaS initiatives that help organisations generate S$11 million in cost savings and/or new businesses. Train 120 company employees and/or healthcare professionals on innovation solutions implemented by IaaS, enabling dissemination and sharing of best practices with industry and other healthcare providers through workshops. Provide Assistant Director-level or equivalent leadership exposure in healthcare-sector project delivery, including ownership of business unit, programme, service-line, or portfolio targets; stakeholder engagement with care providers, hospitals, aged-care operators, allied health partners, industry solution providers, and internal research/engineering teams; and hands-on follow-through to convert opportunities into funded projects and implemented outcomes. Oversee the allocation and integration of contributions from Research Engineers with different skill sets, ensuring that each workstream contributes its share to the overall NRF KPI delivery plan. Job Requirements Bachelor's degree in Health Sciences, Biomedical Engineering, Business Administration, Healthcare Management, Public Health, Nursing, Allied Health, or related disciplines,  Master's degree preferred. Minimum 7 years' relevant experience with substantial work experience in healthcare, community care, aged care, allied health, digital health, healthcare operations, product development, or healthcare innovation. Demonstrated healthcare-sector leadership track record, preferably equivalent to Assistant Director level or above, in leading a business unit, programme office, service line, project portfolio, or multi-disciplinary delivery team in healthcare, community care, aged care, allied health, digital health, or applied innovation settings. Possess understanding of healthcare innovation concepts (e.g., clinical validation, commercialisation, care automation, health economics). Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Ability to evidence the value of projects delivered, including project quantum, business scale handled, cost savings, productivity outcomes, new business generated, or other measurable value-capture outcomes. Experience in securing or supporting industry-funded projects, agency-funded grants, or equivalent cashable resources, with ability to document funding quantum and stakeholder commitments. Proven accountability for business, operational, revenue, funding, or KPI targets, with experience in business development, partner engagement, proposal shaping, project generation, and conversion of industry or healthcare needs into funded projects, grants, pilots, deployments, or other cashable resources. Ability to both lead and personally contribute to delivery, including scoping, execution, stakeholder management, documentation, value capture, risk/issue resolution, and hands-on troubleshooting on the ground. Relevant exposure to healthcare service innovation, care automation, clinical workflow optimisation, digital health implementation, health economics, value capture, training delivery, and ecosystem-building activities will be advantageous.