Universidad del Sinú Elías Bechara Zainum Seccional Cartagena

Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre Youssef. We are particularly interested in candidates with a strong mathematical background and expertise in one or more of the following areas: High-dimensional probability and concentration/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position can be filled at either the Postdoctoral Associate level, depending on qualifications. The appointment is for two years, with the possibility of renewal. Requirements: Ph.D. in Mathematics, Computer Science, Engineering, or a related field The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format. Further questions may be directed to Professor Pierre Youssef at yp27@nyu.edu. About 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.

About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa, UM6P aims to position these fields as the forefront and become a university of international standing. More than just a traditional academic institution, UM6P is a platform for experimentation and a pool of opportunities, for students, professors, and staff. It offers a high-quality living and study environment thanks to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About the Chemical & Biochemical Sciences Green Process Engineering (CBS) The Chemical & Biochemical Sciences Green Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level, to meet the research and teaching challenges of UM6P, on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging industrial questions, from complex chemical and biochemical reactions to scale-up and validation of process engineering. CBS projects aim at an in-depth understanding of the molecular mechanisms of all transformations to propose new original alternatives in terms of efficiency, environmental friendliness, and sustainability. Job Description We are seeking a postdoctoral researcher to work on innovative solutions in desalination and sustainable water resource management, with a particular focus on assessing the quality of water intended for agricultural use. The selected candidate will contribute to the development and optimization of desalination processes (membrane-RO), the analysis of treated water quality (especially in relation to agronomic requirements), and the study of environmental impacts associated with the reuse of such water. Key Responsibilities: The postdoctoral researcher will be responsible for developing and optimizing desalination processes, particularly reverse osmosis, with a focus on sustainability and efficiency. The work will involve improving the performance of treatment systems and proposing solutions tailored to agricultural water needs. A key part of the role will be to assess the quality of desalinated water in relation to agronomic requirements and to study the potential environmental impacts of its reuse, particularly regarding soil salinity and contamination of water resources. The researcher will collaborate with multidisciplinary teams, take part in testing campaigns (in the lab or in the field), analyze the collected data, and contribute to the dissemination of results through scientific publications, technical reports, and participation in innovative projects. Candidate Criteria PhD degree in Chemistry, with a specialization in inorganic chemistry, water treatment, or a closely related field, is required. Proven experience integrating water-related challenges within the agricultural context is highly desirable. Research Excellence: A strong research track record focused on desalination, water treatment, or sustainable processes, with direct or potential applications in the agricultural sector, demonstrated through publications in reputable international scientific journals. Collaborative Mindset: Proven ability to collaborate effectively with interdisciplinary teams and external partners to address complex challenges. Communication Skills: Excellent communication and presentation skills in English. Proficiency in French is a plus. Entrepreneurial Spirit: Alignment with UM6P's focus on entrepreneurship, Application and Selection: The application folder must contain: Detailed CV, Cover letter along with a comprehensive presentation of the candidate background, research work, projects, and key activities (publications and achievements) Research and teaching statement, entrepreneurial ideas, and concepts if any, and services to UM6P community: max 3-4 pages, 3 reference letters. Our Offer Very competitive salary and benefits package. A unique set of research partners and collaborators.

Ref.: 534134 Work type: Full-time Department: Department of Data and Systems Engineering (14400) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Associate Professor/Assistant Professor in the Department of Data and Systems Engineering (Ref.: 534134), to commence as soon as possible on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. The Department of Data and Systems Engineering is one of the engineering departments in the Faculty of Engineering, offering B.Eng., M.Sc., M.Phil. and Ph.D. programmes in all major fields of data and systems engineering. The Department has strong research programs and excellent facilities for teaching and research. Information about the Department can be obtained at http://www.dase.hku.hk/. Applicants should possess a Ph.D. degree in systems engineering, data science, industrial engineering, computer science or a related field, with a strong commitment to research, teaching and services. The positions are open to all research areas in Data and Systems Engineering, especially data analytics and computing, robotics and automation, artificial intelligence, human and machine cooperation, and human factors. Candidates with experiences in the applications of logistic, supply chain, intelligent transportation, manufacturing automation, construction, services engineering, health care, and smart city are highly preferred. The appointee will be expected to teach undergraduate and postgraduate courses, supervise graduate students, conduct research projects, attract external funding to support research, and provide institutional and professional services.  A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V., a research statement and a teaching statement. For additional information on the application, please contact the DASE Search Committee at dase@hku.hk. Applicants are highly encouraged to submit their applications as soon as possible. Review of applications will start as soon as possible and continue until December 30, 2026 or until the posts are filled, whichever is earlier.