assistant research scientist

Crystal Crop Protection Limited

<div>
 
 Strong background in organic chemistry and a proven track record-leading R&amp;D projects. To Lead and manage projects under supervision of team leader. Oversee the design, execution, and optimization of organic synthesis. industry experience in organic synthesis research, preferred agrochemical industries.
 
 
 
 Organization name:
 
 Crystal Crop Protection Limited
 
 
 
 Job title:
 
 Associate Research Scientist
 
 
 
 Location/ Base:
 
 KRDC, Nathupur, Sonipat, Haryana
 
 
 
 Department:
 
 Research and development
 
 
 
 Reporting to:
 
 Team leader
 
 
 
 Responsible for:
 
 Execution of planning, arrangement of raw materials, cost reduction in existing molecules, development of new process for the company, preparation of daily report, process write up, SOP and TTD, demonstration of developed process to tech transfer team.
 
 
 
 Job purpose/ summary:
 
 R&amp;D scientists are involved in the planning and implementation of scientific projects. Depending on their field of expertise, they may, for instance, develop formulas for new materials, execute tests or prove theories in practice. Moreover, close teamwork is usually part of R&amp;D scientists' daily business.
 
 
 
 Skills/Experience:
 
 Expertise in handling of lab glassware, perform lab experiments independently, do fractional distillation, handle hazardous reagents and chemical safely, knowledge of plants, generate plant supporting data, experience in agrochemical industries, 4 to 7 years&rsquo; experience in synthesis laboratory.
 
 
 
 Preferred qualifications:
 
 Master of Science (M. Sc.) in organic chemistry from reputed university.
 
</div>

Associate Research Scientist

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Social Science
</div></div></div><div><div><h3 class="jobSectionHeader">Location
</h3><div>Abu Dhabi, UAE
</div></div><div><h3 class="jobSectionHeader">Open Date
</h3><div>Feb 06, 2026
</div></div></div><div><div><h3 class="jobSectionHeader">Description
</h3><div><div>The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.

The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapandža, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.

Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.

The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@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.

Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged 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&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;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&rsquo;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&rsquo;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.

Join NYU Abu Dhabi, an exceptional place for exceptional people.

NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;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&rsquo;s mission.</div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader">Application Process
</h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div>

Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

New York University Abu Dhabi

<div>
 The Water Research Center, New York University Abu Dhabi, is seeking to hire an Associate Research Scientist to develop calix[n]arene-based covalent organic frameworks for water purification.
 
 
 The successful candidate will develop new calix[n]arene-based covalent organic frameworks for water purification applications. To explore this area of macrocycle-based porous frameworks for water contaminant removal, the candidate will be involved in the directed synthesis of organic macrocycle containing linkers and porous frameworks and then investigate the supramolecular interactions with various organic pollutants. This would require knowledge in the design and synthesis of porous frameworks, particularly in techniques such as Schlenk line, glove box, powder X-ray diffraction, electron diffraction, electron microscopy, and porosity analysis. The candidate is expected to have a thorough understanding of the analytical techniques used to characterize the materials. Experience in the application of such materials to water treatment is preferred. The candidate will work in a multidisciplinary environment consisting of PhD scientists, graduate students, and undergraduate students.
 
 
 Applicants must have a PhD in chemistry or materials science. Excellent experimental and synthetic skills relevant to the project (particularly, synthesis of covalent organic frameworks) are required.
 
 
 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 one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. If you have any questions, please email Huden Khalil: hsk8152@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&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;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.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Associate Research Scientist in the Water Research Center – Dr. Ali Trabolsi

<div>
 The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a Post-Doctoral Associate or a Associate Research Scientist to join a lab focused on applied machine learning.
 
 
 The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience.
 
 
 
 Skills
 
 
 
 The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include:
 
 
 <ul>
 <li>
 Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems
 </li>
 <li>
 Graph Theory/Network Science
 </li>
 <li>
 Python, and up-to-date machine learning libraries
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Track record of publishing in top tier conferences
 
 
 </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae, list of publications (if applicable), a 1-page statement of research interests, and three letters of reference. If you have any questions, please email: djellel@nyu.edu
 
 
 
 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&rsquo;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.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Associate Research Scientist/ Post-Doctoral Associate in the Division of Science (Computer Science) - Dr. Djellel Difallah

<div>
 The Prof. Sunil Kumar&rsquo;s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata.
 </li>
 <li>
 Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection.
 </li>
 <li>
 Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation.
 </li>
 <li>
 Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes.
 </li>
 <li>
 Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training.
 </li>
 <li>
 Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination.
 </li>
 <li>
 Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline.
 </li>
 <li>
 Solid experience training and evaluating AI models.
 </li>
 <li>
 Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
 </li>
 <li>
 Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training.
 </li>
 <li>
 Familiarity with 3D data processing or willingness to learn quickly.
 </li>
 <li>
 Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML.
 </li>
 <li>
 Familiarity with uncertainty quantification and model explainability methods.
 </li>
 <li>
 Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes).
 </li>
 <li>
 Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams.
 
 
 </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@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 https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.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&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;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.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh Panindre

Lila Sciences

<div>
 
 Your Impact at Lila
 
 
 
 As a Research Scientist in our Physical Sciences organization, you develop state-of-the-art generative modeling techniques applied to critical challenges in materials science. You will be working with cross-functional machine learning experts, software engineerings and materials scientists across multiple teams at Lila to create and deploy generative models for Lila&rsquo;s unique materials design challenges. In addition to pushing the state of the art, what is really exciting about this role is to see a clear impact of your methods on real-world materials that are being built and improved in our experimental facilities on a daily basis.
 
 
 
 What You'll Be Building
 
 
 
 <ul>
 <li>
 Generative Models: Design and implement generative models (Diffusion models, flow-based models) and advanced sampling methods for diverse materials design challenges.
 </li>
 <li>
 Data Representation: Develop novel architectures &amp; methods based on physics-informed constraints and domain knowledge informed inductive biases aimed at representing and modeling materials across a wide range of chemical space for real-world applications.
 </li>
 <li>
 Real-World Validation &amp; Deployment: Create and validate datasets, frameworks, and methods for validating generative models on experimentally realized materials. Partner with software engineers and product managers to deploy solutions.
 </li>
 <li>
 Cross-Functional Partnership: Work closely with R&amp;D leadership, product managers, and automation specialists to translate scientific questions into data requirements and modeling strategies.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 Proficiency in Python, deep learning frameworks and end-to-end workflow deployment.
 </li>
 <li>
 Understanding of modern generative modeling methods (diffusion models, flow matching models, geometric deep learning methods) and their applications to scientific problems, including materials science, chemistry or biology (e.g. proteins).
 </li>
 <li>
 Elementary understanding of materials science, physics and chemistry and how their principles can be infused into generative model design.
 </li>
 <li>
 Strong self-starter and independent thinker, with strong attention to detail.
 </li>
 <li>
 Demonstrated industry experience or academic achievement.
 </li>
 <li>
 Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner.
 </li>
 <li>
 Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting.
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 PhD in Materials Science, Computer Science, Physics, Chemistry, or related field with strong publication record in machine learning (NeurIPS, ICML, ICLR) and scientific (Nature, Science, Cell Press Matter, IOP) venues.
 </li>
 <li>
 Experience with computational materials science methods (DFT, Molecular Dynamics).
 </li>
 <li>
 Understanding of experimental materials science techniques related to synthesis and characterization.
 
 
 </li>
 </ul>
 
 About Lila
 
 
 
 Lila Sciences is the world&rsquo;s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai
 
 
 If this sounds like an environment you&rsquo;d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
 
 
 
 Compensation
 
 
 
 We expect the base salary for this role to fall between
 
 $176,000-$304,000 USD per year
 
 , along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.
 
 
 
 We&rsquo;re All In
 
 
 
 Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
 
 
 Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
 
 
 
 A Note to Agencies
 
 
 
 
 Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science&rsquo;s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.
 
</div>

AI Scientist I/II, Generative Modeling for Materials Science

<div>
 The Center For Astrophysics And Space Science (CASS) At NYUAD Is Looking To Appoint New Independent Fellows Working In One (or More) Of The Following Center's Research Fields
 
 
 <ul>
 <li>
 Extrasolar Planets
 </li>
 <li>
 Galactic Astrophysics (including compact objects)
 </li>
 <li>
 Extragalactic Astrophysics and Cosmology
 </li>
 <li>
 Astroparticle Physics (Dark Matter searches, gamma-ray spectroscopy, gravitational waves)
 
 
 </li>
 </ul>
 The center currently consists of eight faculty members and more than 25 researchers and PhD students.
 
 
 The Center possesses the unique possibility to investigate fundamental questions in astrophysics, astroparticle physics, and planetary physics from several points of view, with the expertise of its members ranging from collecting and analyzing state-of-the-art data on the nature of the visible and invisible matter in the Universe, to detailed theoretical and numerical studies from planets to galaxies, and linking them together cohesively.
 
 
 We expect successful applicants to work towards improving the collaborations and connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS.
 
 
 The center fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank Telescope, the Very Long Baseline Array, and Las Cumbres Observatory, and is a participant in SDSS-V.
 
 
 Applicants should have a PhD in astronomy, astrophysics, physics, or a closely related field and are still within their first 5 years since receiving their PhD. The appointment will be for an initial period of two years with a likely extension to a total of three years. CASS fellows will have
 
 dedicated funds
 
 for traveling, computing, publications, etc.
 
 
 The preferred starting date is Fall of 2026.
 
 
 Applicants need to submit a cover letter, curriculum vitae, publication list, and a brief (ideally 2-3 pages) statement of research interests, transcript and three letters of recommendation.
 
 Applicants are strongly encouraged to outline in their research statement how they plan to help create connections between the different research areas of the CASS
 
 .
 
 
 Applications received before November 30, 2025, will receive full consideration, positions will stay open until filled. If you have any questions, please e-mail Prof. Andrea V. Macci&ograve; (Center director) maccio@nyu.edu
 
 
 The terms of employment include a very competitive salary, housing allowance, medical insurance, educational subsidies for children, and other benefits. Please note that 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&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;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.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Post-Doctoral Associate/ Associate Research Scientist in the Center for Astrophysics and Space Science - Dr. Andrea Maccio

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