International School of Finance Technology and Science

Description The Division of Engineering at New York University Abu Dhabi (NYUAD) invites applications for a Post-Doctoral Associate position under the supervision of Prof. Qurrat-Ul-Ain Nadeem in the NextG Wireless Lab. The successful candidate will contribute to cutting-edge research on the modeling, design, and performance analysis of emerging massive multiple-input multiple-output (MIMO) architectures for next-generation wireless communications systems. The candidate will investigate advanced MIMO paradigms, including continuous aperture MIMO, pre-optimized MIMO arrays, flexible intelligent metasurfaces, and tri-hybrid MIMO systems, with a particular emphasis on near-field propagation regimes relevant to ultra-massive MIMO systems. The candidate is expected to develop physically-consistent narrowband and wideband signal models for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or terminal degree from a recognized institution of higher learning with no more than five years post receipt of this degree, in Electrical/Electronics Engineering, telecommunications, or related field. Other requirements include: Proven track record of publications in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication theory, signal processing, machine learning, and optimization theory. Strong verbal and written skills in English. Excellent analytical and problem-solving skills, and capacity to pursue independent research as well as mentor graduate students. In addition to the above qualifications, it is desirable that the applicants have: Research background in one or more of the following areas: massive MIMO, near-field propagation, channel estimation. Experience working with software defined radios and experimental testbeds for wireless communications systems. 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 with a full publication list, transcripts of Master’s and PhD degrees, research statement, and contact details of at least three references, all in PDF format via Interfolio. The terms of employment are very competitive and include substantial benefits such as housing, transportation and travel allowances, educational subsidies for children, medical insurance, and relocation benefits. If you have any questions, please email Prof. Qurrat-Ul-Ain Nadeem at qurrat.nadeem@nyu.edu 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

(Clinical & Translational Cancer Research / Neuroscience / Thoracic Medicine / Cardiology / Nephrology / Artificial Intelligence in Medicine / Cell Therapy & Immunotherapy / Medical Device Development) Salary Range: US$39,795 to US$135,455 per annum Contract Type: Full-time Taipei Medical University is recruiting scholars in biomedical and related fields in: Clinical & Translational Cancer Research Neuroscience Thoracic Medicine Artificial Intelligence in Medicine Cell Therapy & Immunotherapy Medical Device Development Cardiology Nephrology Successful candidates will collaborate with educators, researchers, clinicians and business professionals who support their work. They also will enjoy access to the university’s advanced equipment and extensive global networks. Required qualifications I. Individuals who have obtained their field’s highest degree/qualification within the past 10 years and meet one of the following criteria are encouraged to apply: Have worked at a leading academic/research institutes or businesses related to their field for more than 5 years Have experience in executing major research projects Have outstanding research record within 5 years II. Other criteria depending on rank: Assistant professor candidates should meet one of the following criteria: Received Ph. D. degree from domestic or foreign university with publications in one’s field of study Have served as a lecturer for more than 3 years with a good track record and major publications in one’s field of study A Mater degree holder who has worked in research or a relevant field for more than 4 years resulting in publications or inventions and significant academic contributions Graduated from any university, medical school, dental school, or school of traditional Chinese medicine and with clinical experience for more than 9 years and at least four years of Attending Physician in any medical center with publications in one’s field of study Associate professor candidates should meet one of the following criteria:  Have served as an assistant professor for more than 3 years with a good track record and major publications in one’s field of study  A Ph. D. degree holder who has worked in research or a relevant field for more than 4 years resulting in publications or inventions and significant academic contributions  Full professor candidates must meet one of the following criteria:  Associate professor with more than 3 years of strong research and major publications  A Ph. D. degree holder who has worked in research or a field relevant to their degree for more than 8 years, with publications or inventions and significant academic contributions  * Note: Current employees of any higher education and research institutions in Taiwan are not eligible to apply. * Successful candidates will be assigned to the suitable department according to the academic field expertise. Pay and Benefits Annual salaries: Assistant Professor: US$39,795 to US$104,220 Associate Professor: US$44,675 to US$116,910 Full Professor: US$55,425 to US$135,455 First-year research grant: approximately US$32,545 Full insurance coverage & pension and various allowances included in compensation plan * Figures are estimates; amounts depend on currency exchange rates at the time of employment. Applications For initial screening, applications should detail research from the past five years, including: Cover Letter Resume (2) Recommendation Letters Major Research Contributions Awards and Recognition Personal Brief Information Sheet Please submit the above information to Human Resources: International.Faculty@tmu.edu.tw before the deadline: 17:00(GMT+8), April 30th, 2026. Applicants of all nationalities are welcome. Taipei Medical University commits itself to offering equal employment opportunities to all applicants, independent of their social background, age, race, religion, gender, or sexual orientation For further information, any question or concern, please contact Ms. Vivian C. Lien and Ms. Charlene Huang from the Office of Human Resources: International.Faculty@tmu.edu.tw

About Université Mohammed VI Polytechnique (UM6P) :  Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields. The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About Centre for Urban Systems (CUS) :  The CUS is a center dedicated to research, education, and innovation in the field of urban sciences. It uses Living Labs as a research and training environment to develop future urban leaders and to identify innovative solutions to complex urban challenges. CUS focuses on four pillars: research, education, expertise, and innovation, all aimed at improving urban management and citizens’ well-being. Job Description The Postdoctoral Researcher will contribute to the development of innovative research at the intersection of hydrology, artificial intelligence, and urban systems. The position is aligned with the mission of the Center for Urban Systems (CUS), which promotes resilience, sustainability, and performance in urban and territorial systems. The researcher will focus on the design and application of hydrological, and AI-based modelling approaches to address water-related challenges in urban environments. This includes improving the understanding, prediction, and management of hydrological processes under the pressures of climate variability, urbanization, and increasing water demand. The role involves the integration of hydroclimatic, geospatial, and remote sensing data to support decision-making, strengthen urban water resilience, and contribute to sustainable water resources management. The selected candidate will also participate in interdisciplinary research activities, scientific publication, and project development. Main Responsibilities •    Conduct advanced research in AI-based modelling applied to urban water systems. •    Develop models, and predictive tools for hydrological analysis and urban water management.  •    Design analytical approaches to improve water resources management and urban resilience. •    Analyze hydrological processes in relation to climate variability, urban growth, and environmental pressures Integrate hydrological, climatic, geospatial, and remote sensing datasets for modelling purposes. •    Produce high-quality scientific publications in peer-reviewed journals and present research results at international conferences. •    Contribute to interdisciplinary research projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties •    Design and implement machine learning and deep learning models for hydrological applications. •    Assess issues related to water availability. •    Support the development of decision-support tools for resilient and sustainable urban water management. •    Process, analyze, and interpret environmental and spatial datasets. •    Write and publish scientific articles and reference documents that support the dissemination and valorization of research results.  •    Collaborate with academic partners, public institutions, and urban stakeholders to support sustainable urban planning strategies. •    Contribute to the preparation of research proposals and respond to national and international research funding calls.   REQUIRED PROFILE •    PhD in Hydrology, Environmental Science, Remote Sensing, Data Science, Civil Engineering, or a related field. •    Strong background in hydrological modelling, time-series analysis, and environmental data analysis.  •    Demonstrated experience in artificial intelligence, including machine learning and deep learning, applied to hydrological or water-related systems.  •    Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset.  •    Familiarity with geospatial data, GIS, remote sensing products, and analysis methods. •    Proven ability to conduct independent research and work effectively within interdisciplinary teams.  •    Proficiency in English and French, both written and spoken SKILLS AND QUALITIES •    Strong analytical and problem-solving abilities.  •    Ability to handle large and heterogeneous datasets. •    Capacity to link technical modelling work with applied urban and environmental challenges. •    Good organizational and time-management skills. •    Ability to communicate complex results clearly to both scientific and non-scientific audiences. •    Team spirit, autonomy, and initiative Interest in resilience, sustainability, and innovation in urban systems