Ramapo College of New Jersey

Description The Center for Interdisciplinary Data Science and AI (CIDSAI) at NYU Abu Dhabi is a cross‑disciplinary hub where mathematicians, computer scientists, engineers, and social scientists join forces to push the boundaries of data‑driven discovery. Our mission is two‑fold: to advance fundamental theory in probability and machine learning, and to translate those breakthroughs into high‑impact tools that serve the UAE, the wider Arab world, and global society. We are seeking a Post-doctoral Associate to join the team to work under the theme of Computational & Interactive Health under the supervision of Dr. Farah Shamout & Dr. Hanan Salam and in close collaboration with Prof. Nizar Habash. The researcher is expected to have strong machine learning & AI skills and exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. The project has three main objectives: (a) developing robust computational methods for decision-making in health based on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs and AI agents, and finally (c) designing specialized interactive multimodal multi-lingual natural interfaces. Applicants must have a PhD, MD, DDS, or equivalent advanced or terminal degree from a recognized institution of higher learning, with no more than five years post receipt of this. For consideration, applicants need to submit in PDF format: Cover letter Curriculum vitae with full publication list Research statement highlighting past and current research experience (1 page) Project proposal summary demonstrating how the candidate’s research interests fit with the research axes of the Center. Transcript or Degree At least two letters of reference The appointment will be for 2 years, with the option to renew further depending on performance (in total not to exceed 5 years). Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu or Prof. Hanan Salam at hs4461@nyu.edu. The terms of employment are very competitive and the position provides salary higher than internationally competitive rates for Post-Doctoral positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. 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

Research engineer, Optics of Photosynthesis Laboratory, Department of Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki About the position  We are seeking a highly motivated and skilled research engineer to strengthen the technical capabilities of the Optics of Photosynthesis Laboratory (OPL) (https://blogs.helsinki.fi/optics-of-photosynthesis/ ) and to support the implementation of the PHOCUS project (Photosynthetic Optics for Critical Understanding of plant and ecoSystem function) funded by the Jane & Aatos Erkko Foundation. Duration of the fixed-term contract: 3 years with possibility of extension. Starting date: latest by 1.6.2026. As a research engineer, you will oversee and execute the development and implementation of innovative solutions for advanced measurements of biophysical and photosynthetic traits of leaves and plants, both in laboratory and field conditions. In addition, you will contribute to the basic operation of OPL and the development of research infrastructure both within INAR (https://www.helsinki.fi/en/inar) and the Department of Forest Sciences (https://www.helsinki.fi/en/faculty-agriculture-and-forestry/research/forest-sciences) at the University of Helsinki.  Key responsibilities Execute the development of new instrumentation for comprehensive measurement of spectral and photosynthetic properties of leaves and plants in close collaboration with OPL scientists and collaborators.  Manage and oversee the smooth day-to-day operation of OPL infra, including maintenance of laboratory equipment, following calibration schedules and protocols.  Provide technical support to team’s researchers, including participation in field campaigns, laboratory experiments and data analysis.  Produce technical materials for instrument operation, calibration and maintenance, and contribute to the preparation of reports.  Required qualifications and skills  We are looking for an experienced and open-minded person with strong problem-solving skills and a solutions-driven mindset who can design, assemble, and automate custom measurement systems by integrating sensors, electronics, hardware and software. Ideally, you have a MSc in engineering (e.g. electrical, mechanical, automation, robotics, environmental), applied physics, or other relevant field. A PhD degree can be an asset but is not a requirement. Minimum requirements:  Experience in the design and construction of embedded-systems for the measurement of chamber-based gas fluxes, spectral properties, and/or environmental parameters, through integration of hardware, sensors, electronics, microcomputers (e.g. Raspberry Pi, Arduino, ESP32 or similar) and custom-made software.  Advanced level in one of these programming languages: Python, C, C++  Ability to work independently, manage multiple tasks, and document technical procedures clearly  Capacity to travel occasionally and participate in intensive field campaigns  Driving license and willing to do occasional work outdoors in harsh conditions Good English (working language) and communication skills to liaise with a wide range of national and international collaborators. Desirable experience or assets:  Experience with the use of spectrometers and spectral imaging systems, including their calibration.  Knowledge of Finnish language (B1 or B2)  Experience in conducting drone-based measurements  Demonstrated experience with the construction and use of one or more of the following: LED assemblies, temperature control systems, gas exchange chamber systems, IRGAs, spectral systems, lidar, multisensor drone assemblies.  Previous experience in coordination of laboratory activities and technical support.  3D printing / CAD / prototyping Familiarity with plant sciences, plant ecophysiology, ecology.  What do we offer  The Optics of Photosynthesis Laboratory (OPL) is a small and highly international group composed of some 10-15 researchers. Our Laboratory develops methods and theory to facilitate the interpretation of optical data acquired from leaves, plants and entire ecosystems, in terms of plant functional traits such as photosynthesis. We collaborate with a wide range of scientists and communities from molecular biologists to Earth System Scientists, from companies to artists. OPL is integrated within the multidisciplinary Department of Forest Sciences, the Faculty of Agriculture and Forestry and the Institute for Atmospheric and Earth System Research (INAR).  With this position we will offer you:  A technically challenging position in a vibrant research environment with possibilities to directly see the full impact of your work.  A salary based on levels 8-9 of the requirements level chart for specialist and support staff in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal work performance. Monthly gross salary will vary between 3 400-4 300 euros/month (42 500-53 750 euros/year) depending on the appointee’s qualifications and experience.  A supportive, open, and inclusive working environment with flexible working conditions and opportunities for professional development.  How to apply  To apply for the position please attach the following documents to your application as a single PDF file (in Finnish or English):  A motivation letter (max 1 page)  A description detailing the relevant knowledge and experience that you have accumulated in relation to the position (max 1 page)  A curriculum vitae (CV) and contact information for two referees (max 2 pages)  Copy of degree(s) certificates.  If you need help with the recruitment portal, please contact uni-help@helsinki.fi Deadline for applications is 20.4.2026 (at 23.59 EET) A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers

Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a motivated and passionate post-doctoral associate to work under the supervision of Dr. Hanan Salam on the: Development of an Augmented Smart Classroom for Personalized Learning (SmartClass) serving as a test-bed for the collection and analysis of students and professors data, leveraging on data analytics and machine learning to improve learning outcomes and engagement in the classroom, and Development of personal GPT-powered AI tutors that use the knowledge from (1) to provide personalized recommendations and improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative tools for interactive and distance learning. Key Responsibilities: Research Conduct research and development on the Augmented Smart Classroom (SmartClass) platform, focusing on data collection, analytics, and real-time classroom monitoring. Design and implement machine learning models to analyze multimodal data (e.g., student behavior, engagement, and performance) to enhance personalized learning. Develop and evaluate GPT-powered AI tutor systems, integrating insights from classroom data to deliver individualized learning experiences. Collaborate with interdisciplinary teams to create interactive, user-centered tools that support both in-person and remote education environments. Translate research findings into practical applications that support lifelong learning and pedagogical innovation. Contribute to scholarly publications, grant reports, and dissemination of research outcomes in academic and educational technology forums. Mentor undergraduate and graduate students involved in the research project, fostering a collaborative and productive research environment. Stay up to date with the latest advances in AI in education, human-AI interaction, and personalized learning technologies. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer Vision and speech processing, multimodal signals processing and fusion; Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice; First-author peer-reviewed published papers (or under review); Excellent communication skills in English (oral and written communication) Willingness and capacity to work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students Self-motivated with an ability to work independently and in a team to get the work done. Willingness to learn and confront new challenges. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. For consideration, applicants need to submit in PDF format: Cover letter; Curriculum Vitae with full publication list; Research statement highlighting past and current research experience (1 page); Research project (1 page) explaining how the candidate sees their research fit in the research axes of the lab. Note, Dr. Hanan does not supervise research outside of the scope of the lab research axes; At least two letters of reference. The appointment will be for two years, with the option to renew further depending on performance (in total not to exceed 5 years). More information about professor Hanan’s lab can be found here: https://wp.nyu.edu/smartlab/ If you have any questions, please email Prof. Hanan Salam at hanan.salam@nyu.edu. The terms of employment are very competitive and the position provides salary higher than internationally competitive rates for Post-Doctoral positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.