Simpson College

Description The Instructional Designer (Teaching & Learning Innovation) works in close partnership with the Teaching and Learning Specialist and faculty and academic staff to design, implement, and evaluate innovative teaching and assessment practices. The role supports the thoughtful integration of AI and other emerging technologies as part of a broader effort to enhance student learning and advance discipline-specific thinking. Central to the role is ensuring that technology is used in ways that complement and augment, rather than replace, student learning, motivation, and intellectual effort. Grounded in evidence-based teaching and learning principles, this position focuses on translating pedagogical strategies into practical course designs, assignments, and assessments that strengthen foundational skills, critical thinking, and student engagement. The role emphasizes hands-on collaboration with faculty to pilot new approaches, adapt assignments and assessments in response to evolving learning contexts, and develop scalable models of instructional innovation. The Instructional Designer for Learning Innovation reports to the Director of the Hilary Ballon Center for Teaching and Learning. The Hilary Ballon Center for Teaching and Learning (HBCTL) partners with faculty, academic staff, and collaborators across NYU Abu Dhabi to advance inclusive, innovative, and evidence-informed teaching that supports student learning, belonging, and success. Through support for faculty innovation in the classroom, interdisciplinary exchange, teaching communities, and the scholarship of teaching and learning, HBCTL fosters reflective teaching practice and advances pedagogical approaches that respond to evolving educational challenges and emerging technologies within a global liberal arts context. Key Responsibilities 1. Instructional Design & Faculty Collaboration Partner with faculty to redesign courses, assignments, and assessments that integrate AI and other learning technologies Translate teaching and learning theory into practical, discipline-specific instructional strategies Support faculty in aligning learning outcomes, activities, and assessments in technology-enhanced environments 2. AI Integration & Assessment Transformation Help faculty adapt and redesign assessments in response to AI-enabled student practices Develop AI-integrated, AI-cognizant, and AI-resistant assignment strategies Support ethical and pedagogically meaningful uses of AI in coursework 3. Pilot Projects & Innovation Co-design and implement pilot initiatives exploring new models of teaching and learning with AI and emerging technologies Iterate on designs based on feedback, student performance, and faculty input Contribute to scaling successful innovations across programs 4. Learning Science & Student Experience Apply principles from the learning sciences, including motivation, cognitive load, and skill development, to instructional design Ensure that course designs promote deep learning, critical thinking, and sustained student engagement Evaluate how technology impacts student effort, persistence, and learning behaviors 5. Evaluation, Metrics & Impact Develop and apply metrics to assess the effectiveness of instructional and technological interventions Analyze student learning data and feedback to inform continuous improvement Contribute to evidence-based decision-making around teaching innovation 6. Tools, Resources & Capacity Building Develop practical guides, templates, and examples for faculty integrating AI and technology into teaching Support workshops and training sessions focused on instructional design and AI in education Stay current with emerging technologies and evaluate their relevance for teaching and learning 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 faculty/academic 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 faculty/academic 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. Qualifications Key Qualifications Education: Master’s degree in Instructional Design, Learning Sciences, Educational Technology, Education, or a related field, or equivalent combination of education and experience Experience & Expertise:  Minimum of 3–5 years of experience in instructional design, educational technology, or teaching and learning support in higher education Demonstrated experience designing or redesigning courses, assignments, and assessments in collaboration with faculty Strong understanding of learning sciences, including motivation, cognitive processes, and development of foundational skills such as critical thinking and problem-solving Experience applying evidence-based pedagogical practices to technology-enhanced learning environments AI & Technology Integration Understanding of generative AI and other emerging technologies and their implications for teaching, learning, and assessment Experience or demonstrated ability to integrate AI and digital tools into course design in ways that enhance (not replace) student learning Ability to critically evaluate AI-facilitated applications and align their use with learning outcomes and academic integrity Assessment & Evaluation Experience designing and evaluating assessments aligned with learning outcomes Ability to develop and use metrics to assess student learning, engagement, and the effectiveness of instructional interventions Experience analyzing student data and feedback to inform iterative course and assessment design Skills & Competencies Strong collaboration skills, with the ability to work closely with faculty across disciplines Ability to translate theory into practical, discipline-specific teaching strategies Excellent communication skills, including the ability to create clear, actionable guidance and resources Strong project management skills and ability to manage multiple initiatives simultaneously Commitment & Orientation Commitment to inclusive and student-centered teaching practices Interest in innovation in teaching and learning within a global liberal arts context Application Instructions To apply for this position, please submit the following documents: CV Cover Letter List three professional references, including their names and email addresses. They may be contacted at a later stage of the process. We will begin reviewing applications on June 8th. If you have any questions, please e-mail nyuad.academicrecruitment@nyu.edu. 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. 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 #nyuadinstructorcareers

Description The Division of Science at NYU Abu Dhabi (NYUAD) invites applications for tenured/tenure-track open-rank faculty positions within its Computer Science Program. The search will prioritize candidates who specialize in Artificial Intelligence (AI) and Machine Learning (ML), including but not limited to areas such as deep learning, natural language processing, computer vision, reinforcement learning, ethical/trustworthy AI, and interdisciplinary applications of AI/ML in various domains. We welcome applicants working on fundamental advances in AI/ML as well as those applying AI/ML methods to advance other areas of computer science and related disciplines (e.g, software engineering, systems, security, human-computer interaction, robotics, databases, or related fields). The program seeks candidates who can contribute to our growing AI curriculum through foundational AI/ML courses as well as specialized courses exploring the interaction between AI/ML and other computing disciplines. Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission. Faculty within the Program of Computer Science at NYUAD are highly collaborative and pursue cutting-edge research that is very interdisciplinary. Their internationally renowned research projects are in fields that include, but are not limited to: artificial intelligence; big data; bioinformatics; computational sciences; cybersecurity; human-data interaction; information and communication technologies for development; machine learning, natural language processing; software engineering and program analysis, and theoretical computer science. There are many collaboration opportunities within the research centers, which include the Center for Cyber Security (CCS), the Center for Interacting Urban Networks (CITIES), the Center for Artificial Intelligence and Robotics (CAIR), the Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI), the Center for Quantum and Topological Systems (CQTS), as well as with faculty in NYU New York’s Courant Institute of Mathematical Sciences and Tandon School of Engineering. Available openings are at the Assistant, Associate, and Full Professor rank (tenured/tenure-track). Applicants should hold a PhD and demonstrate an outstanding track record for their career stage, in both research and teaching. This includes having publications in leading peer-reviewed journals or conferences, as well as experience in or the potential to lead research projects and secure research funding. Successful candidates will receive a generous startup package, as well as renewable research funding to hire research assistants and postdocs, and will also have access to internal funding. Additional research support includes access to high-performance computing facilities. 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 faculty/academic 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 faculty/academic 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. Qualifications This position requires a Ph.D. in Computer Science or other related fields. We seek applicants who have the potential to develop, a strong record of scholarship, and have the ability to conduct and develop high-quality research. Application Instructions To apply for this position, please submit the following items: Cover Letter CV including a list of publications and a summary of up to five (5) significant research contributions. Research Statement Teaching Statement Community contribution statement. This item also gives an opportunity to discuss the candidate’s societal impact and outreach activities. Contact information of 3 references for recommendation letters to be solicited at a later stage of the search process. Do not include the letters in the uploaded documents. We will begin reviewing applications immediately. Shortlisted candidates are expected to be invited for campus visits in Abu Dhabi and New York in Fall 2026. We anticipate that successful candidates can start the appointment and relocate to Abu Dhabi in the academic year 2027- 2028, subject to final budget approval. 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. For questions about this position, please email nyuad.academicrecruitment@nyu.edu. 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 #nyuadfacultycareers

Schemes of Service: Research Division: Health and Social Sciences Employment Type: Temporary Job Purpose As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff 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 industry innovation research where you will support all aspects of the project to investigate neuroplasticity and recovery of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National University Hospital (NUH), University of Glasgow (UOG), Queen Elizabeth University Hospital (QEUH), Glasgow Royal Infirmary (GRI) and Nanyang Technological University (NTU) in the areas of Neuroscience, Psychology, Movement Science and Rehabilitation. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Prepare data collection forms/interview questions/questionnaire and recruit and/or interview subjects. Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary. Perform computational modelling and analysis of the neuroimaging and behavioural data, with guidance from senior colleagues as required. Provide ready access to all experimental data for the faculty researcher and/or supervisor. Prepare materials for submission to granting agencies, foundations and Ethics Committee review. Prepare progress reports for the PI and funding agency. Prepare other articles, reports, and presentations. Coordinate and attend project meetings, monitor the project budget and work on other projects and initiatives, as required. Conduct literature reviews for publications and research briefings. Contribute to the dissemination of research findings (e.g., journal, conference, book). Support and collaborate with research assistants, graduate and undergraduate students, where applicable. Work in a team, contribute to the identification of possible funding sources and/or the planning and development of externally funded research proposals in an area relevant to the project. Perform other research-related tasks as required by the Principal Investigator. Job Requirements A good degree in relevant discipline (e.g. experimental psychology, biopsychology, cognitive psychology, neuropsychology, neurology, psychiatry, cognitive neuroscience, electrical engineering, biomedical engineering, computer science, physics or related fields). A PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be an advantage. Ability to use statistical packages such as SPSS, R for statistical analyses and visualisation will be an advantage. Some research and/or clinical experience/interest in the area of stroke rehabilitation or care will be an advantage. Key Competencies Good scientific writing skills with relevant publications will be an advantage. Strong ability to work within a multidisciplinary team. Experience of supporting research projects and bringing them to successful completion. Possesses sound judgment and superior decision-making and problem-solving skills. Good interpersonal, written and verbal communication skills. Able to build and maintain strong working relationships with people within and external to the university. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work. Organisation Chart The research staff will report to Assistant Professor Choo Pei Ling. Major Challenges Some parts of the work (e.g. data collection, analysis) may be held at external sites (e.g. NUS, NTU) which may require swab testing prior to entry. Candidate can expect to work at external sites and SIT Punggol campus as needed. Candidate can expect to be flexible with work hours (i.e. there may be occasions where evening or weekend work is needed).