Lerotholi Polytechnic
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Post-Doctoral Associate in the Division of Science (Chemistry) Artificial Intelligence
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The Smart Materials Lab (Panče Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM) at NYUAD. The results of this work are anticipated to be published in peer-reviewed journals and presented at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences. Key qualifications include a PhD in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject to mutual agreement. The successful candidate is also expected to play an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students. To apply, submit a cover letter, a curriculum vitae that includes a complete publication list, a statement of research interests, a transcript,and three letters of reference, all in PDF format. For any inquiries, please contact Dr. Panče Naumov (pance.naumov@nyu.edu). The terms of employment are very competitive and include housing and educational subsidies for children. Applications are being accepted immediately, and candidates will be considered until the position is filled. 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
Salary
Competitive
Posted
9 Feb 2026
CBS - Postdoctoral Fellowship in the Development of Porous Materials for Fertilizer Formulation
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University (UM6P) - Chemical & Biochemical Sciences CBS Department Qualification Type: Postdoctoral position Location: Ben Guérir, Morocco Funding for: National/International Researchers Funding amount: To be defined Hours: Full Time Placed On: 21/05/2025 Closes: Until Filled Reference: Application: Deadline: Until Filled Job Description: We are seeking a highly motivated candidate with strong expertise and interest in developing porous materials for fertilizer formulation. The position involves the design, synthesis, and characterization of porous materials to control the release of fertilizers into the soil. The project aims to develop and optimize innovative porous carriers to enhance fertilizer efficiency, controlled release, and sustainability in agricultural applications. This research will improve nutrient retention, reduce environmental impact, and increase crop yields. In addition, some sensing tests will be accomplished in a water medium, and soil environments, with further evaluations carried out in the presence of crops. Required qualifications: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related disciplines. He/she should have experience in the formulation of fertilizers and their control during the release. The candidate is recommended to demonstrate experience in undertaking independent research, managing research activities of Master and supervising PhD students. Fluency in English as well as a proven ability to write scientific articles are also mandatory. The post-doctoral fellow should be an effective team player to interact constructively with the interdisciplinary team of the CBS department and other collaborators with different backgrounds. The project requires the following skills: Familiarity with fertilizer formulation processes and technologies like, granulation and encapsulation to create specialized fertilizers. Knowledge and understanding of the chemical composition of fertilizers and their interaction with porous materials. Employ various techniques to thoroughly characterize fertilizers, evaluating their chemical composition and physical properties to ensure optimal quality and performance Familiar with the fabrication and characterization of porous materials. Insertion and encapsulation of fertilizers within the porous materials Able to examine the textural and structural changes of porous materials by using a panoply of characterization techniques such as XRD, N2 adsorption, FESEM, TEM, XAS, XPS, dissolution-NMR, IR spectroscopy and TGA and other related spectroscopy techniques such as UV and fluorometer. Skilled in performing sensing tests and evaluating fertilizer release behavior in various media, including aqueous solutions, soil environments, and agricultural setups with growing crops. Ability to interpret experimental results to optimize material design and performance for enhanced fertilizer efficiency and sustainability. About UM6P: Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in the metropolitan area of Marrakech. About CBS/GPE: Research within CBS-GPE is organized around two main areas: Chemistry with its main chemical engineering component, chemo-biology and heat treatments and their applications in industries. CBS-GPE projects aim to achieve an in-depth understanding of the molecular mechanisms of these transformations to suggest new, original, more effective, sustainable, and environmentally friendly alternatives. Funding information: This position is available for one year, extended to two years depending on the performance. Interested applicants should submit their online application with a CV, cover letter, and 2 contacts for recommendation. Applications are open until the position is filled. Guidance from leading experts in the field and research training at UM6P. Workspace at UM6P campus, and resources to attend and present at conferences and workshops. A vibrant research environment in the CBS department, with regular research seminars, reading groups, workshops, and conferences.
Salary
Competitive
Posted
9 Feb 2026
Research Assistant in the Center for Interdisciplinary Data Science and Artificial Intelligence
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description The New York University Abu Dhabi Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) and Computational Approaches to Modeling Language (CAMeL) Lab seek to hire a new research assistant to work in any of the CIDSAI/CAMeL research areas, to be involved in the development of open-source tools and resources, and to work on publications related to their work. The newly established CIDSAI’s mission is to produce research in data science and artificial intelligence. The CAMeL lab’s mission is focused on research in Arabic natural language processing and computational linguistics. The selected candidate will assist with specific projects in CIDSAI that involve Arabic NLP, and will be housed in the CAMeL Lab. Since its establishment in 2014, the CAMeL Lab has produced over 180 publications and 20 language resources and tools. The lab website is http://www.camel-lab.com/. Google Scholar of the lab is at http://scholar.camel-lab.com/. The position will target the rank of Research Assistant (with BS or MS). A strong preference is for individuals with (a) computer science or computer engineering degrees including previous experience in natural language processing or computational linguistics/language technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some research publication experience. Knowledge of Arabic language is preferred, but not required. Previous work on Arabic NLP is preferred but not 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. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. If you have any questions, please email: nizar.habash@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’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/SexualOrientation/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.
Salary
Competitive
Posted
9 Feb 2026
Interactive Media - Assistant / Associate / Arts Professor
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
New York University Abu Dhabi Corporation
United Arab Emirates, Abu Dhabi
Description NYU Abu Dhabi is currently inviting applications for a full-time contract faculty position in the Dvision of Arts and Humanities to teach in the Division and in the Interactive Media program to begin potentially as early as Fall 2026. The position is a renewable appointment based on curricular demand and performance. The Interactive Media program is a Bachelor of Arts major at NYUAD that combines art, interaction design, communications, computer science, engineering, and critique. While the program is formally housed in the University’s Arts and Humanities Division, it is a multidisciplinary major and has broad reach across the University. The mission of the program is to foster the creative use of emerging technologies for research, communication, and expression, while advancing a deep engagement with theoretical frameworks and critical discourse in Interactive Media. The program emphasizes an interdisciplinary approach that connects artistic practice with intellectual inquiry and social responsibility. Arts Professors are active practitioners and creative and performing artists who have demonstrated expertise, excellence and experience in their particular professional domains and bring these qualifications to bear in their teaching. Arts Professors are expected to conduct research, defined as scholarly, creative and professional activities, and are expected to bring that research to bear in their teaching, and to provide service to NYUAD. Appointees must be experienced or highly knowledgeable in their particular fields and, where relevant, have had experience in curriculum development. The successful candidate will have an expansive background in scholarship and the arts that prepares them to contribute to the divisions’ research initiative and propose a wide variety of courses to students in our established liberal arts undergraduate programs and Masters of Fine Arts, and upcoming “Global Crossroads” MA and Ph.D. programs. Applicants should hold the required terminal degrees, such as MFAs and Ph.Ds or those who have demonstrated a high-level creative output across theory/practice divides. The candidate should be able to teach about recent and impending development in artificial intelligence as it relates to the arts and humanities. They should have demonstrated abilities to teach across the arts and humanities and develop transdisciplinary research teams. We are looking for a faculty member who: Possesses an understanding of the aesthetic, cultural, social, political, critical, and ethical implications of interactive media and emerging technologies, and fosters an awareness of how these technologies shape and are shaped by societal contexts through historic and contemporary perspectives. Can engage students in developing a conceptual foundation for interactive media, integrating critical texts, reflective analysis, and creative practices that combine theoretical understanding with hands-on experimentation. Can engage students with a wide range of artists, scholars and practitioners whose work has shaped the field of interactive media fostering a nuanced understanding of its evolution and future directions Can support students in cultivating a critical vocabulary to articulate and analyze interactive media concepts, theories and projects, both in writing and discussion. Can engage students in creative practice, storytelling through various forms of media, designing rich user experiences, and exploring new modes of human-computer interactions. Has demonstrated experience in exhibiting works and/or presenting at festivals and conferences, with the ability to teach and support students in developing and showcasing their own work in similar professional contexts. The Interactive Media program is integrated into the NYUAD liberal arts experience and is interested in faculty who consider teaching an extension of their research. Inherent to the program’s values is an agility with regard to interactive media and its rapid evolution, and thus we welcome faculty who will contribute to the development of the curriculum, specifically in the area of AI. Applicants who can teach the following are encouraged to apply: Theoretical courses that explore concepts, questions, and components that encompass interactive media as it relates to creative expression and critical engagement. Foundation courses that survey various technologies including web development, sound, 2D and 3D design, XR, digital imaging, video, effects and animation, and digital fabrication. Intermediate and advanced electives within the program’s three electives’ clusters: Media and Design Thinking, Computational Media, and Physical Computing Senior capstone seminar and senior capstone project work Across the program, Interactive Media faculty focus on experimentation and production both inside and outside of the classroom. Our approach to learning relies more on collaboration rather than competition so as to cultivate an accessible environment in which playful exploration, critical analysis, risk-taking, and failure can freely occur. While our foundation classes emphasize reading and writing, they are run in a workshop-like environment facilitating active learning and encouraging discussion of concept, content, technique and impact. Engaging with students beyond class time in the program's lab space through project assistance, personal direction, and community activities is key. 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 Applicants should hold the required terminal degrees, such as MFAs and Ph.Ds or those who have demonstrated a high-level creative output across theory/practice divides. Good interpersonal skills to collaborate with colleagues and actively interact with students in a multicultural education setting are highly desirable. Connection or experience with the region is also a plus. Application Instructions Interested applicants should submit a Cover letter Curriculum vitae A statement of teaching philosophy Evidence of teaching effectiveness Two syllabus for courses you would be inclined to teach Work samples that best represent areas of expertise outlined in the Cover Letter. Samples may include recordings, videos, published materials, interactive projects etc. Please provide a URL with brief documentation for each creative submission. Three contact references Applications will be accepted until the position is filled and will be reviewed on a rolling basis, with as a priority deadline. Due to the high volume of applications, only those selected for an interview will be contacted. Hiring for this position is subject to final budgetary 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
Salary
Competitive
Posted
9 Feb 2026
VANGUARD - Postdoc in Network Tensor Completion
Mohammed VI Polytechnic University
Morocco
Mohammed VI Polytechnic University
Morocco
About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, was established to serve Morocco and the African continent and to advance applied research and innovation. This unique university, with state-of-the-art infrastructure, has woven an extensive academic and research network, and its recruitment process is seeking outstanding academics and professionals to promote Morocco and Africa’s innovation ecosystem. About the department Vanguard works on the development of innovative and interdisciplinary applied research projects. From technological innovation to the transfer of research to industry, Vanguard has also the mission of developing an ecosystem of related start-ups. For more information about our Center, please visit our webpage: https://vanguard.um6p.ma/ Offer description: There are many systems of interest to scientists that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people linked by acquaintance or social interaction, transportation systems and biological interactions. These systems are represented as networks. A network is a set of objects that are connected to each other in some fashion. Mathematically, a network is represented by a graph, which is a collection of nodes that are connected to each other by edges. The nodes represent the objects of the network and the edges represent relationships between objects. A common way to represent a graph is to use the adjacency matrix associated with the graph. However, adjacency matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections. For instance, transport networks in a country when considering different means of transportation. The train and bus routes are different types of connections and should in some models be represented by different kinds of edges. These kind of situations can be modeled using multilayer networks which emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example, the transport network mentioned earlier would be represented by a 4th order tensor A 2RN_L_N_L where L is the number of the layers (transportation means) and N is the number of nodes (stations or stops). Using convenient tensor products, the goal is to define measures to analyze different multidimensional networks based on their adjacency tensors. However, collecting all the interactions in the systems and sometimes even observing all the components is a challenging task. In most cases, only a sample of a network is observed. Therefore, network completion needs to be addressed. Matrix completion methods have proved to be efficient when reconstructing a non fully observed data. These methods can be applied to complete or predict links in a network. However, missing information in a network can include both missing edges and nodes which makes classical matrix completion method insufficient. However,we may collect other information and features about the elements of the network. Therefore, side information about the nodes along with the observed edges need to be exploited. The problem of network completion arrises also for applications where the network has a multidimensional representation such as multiplexes and multilayer networks. Since multidimensional networks can be represented by tensors, one can think of applying tensor completion methods which have proved to be efficient in many applications such as image and video reconstruction. However, the same issue arises, tensor completion methods can not be directly applied to recover the links of the network giving the fact that the data is sparse most of the time. We aim to use auxiliary information about the multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor minimization and tensor decompositions paired with auxiliary information in order to recover missing links in a multilayer network with connected components. An important constraint in network completion is that the factorization must only capture the non zero entries of the tensor. The remaining entries are treated as missing values, not actual zeros as is often the case in sparse tensor and matrix operations. Therefore, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing multidimensional networks by studying the theoretical foundations behind randomized algorithms in the context of sparse optimization and applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor decompositions, and incorporating auxiliary information for more accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different measures and metrics for characterizing network connectivity and relationships. Sparse Optimization: Address the challenge of sparse optimization for tensors by integrating randomized algorithms into optimization frameworks. Study the theoretical foundations of randomized algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination to ensure the successful integration of mathematical methods into practical systems. Publication and Dissemination: Publish research findings in top-tier journals and present results at conferences and workshops. Disseminate knowledge and contribute to the academic community by sharing insights and methodologies developed during the course of the project. Mentorship and Training: Provide mentorship and guidance to graduate students and junior researchers involved in related projects. Share expertise and knowledge in applied mathematics, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra, or equivalent. Prior experience on the subject is highly desired.
Salary
Competitive
Posted
9 Feb 2026