Aljazeera Private University

Description The Division of Science at New York University Abu Dhabi is inviting applicants for a Junior Research Scientist in the area of experimental astro-particle physics and applications. The applicant will work in the domain of particle and radiation detectors (organic and inorganic scintillators, photomultipliers and silicon photomultipliers, silicon drift detectors, etc.) applied to various domains: direct dark matter search with dielectric haloscopes, gamma ray spectroscopy, and space-based applications. The applicant may be involved in several projects, including the development and simulation of detectors for Lunar X-ray spectroscopy, in the framework of an extremely dynamic and stimulating research group. It is expected that the applicant will also contribute to the general management of the laboratory and its equipment. Previous members of this group are now pursuing research and academic careers internationally. Applicants must have a Bachelors in Physics. Knowledge and experience in the design and development of particle detectors, including simulation tools such as GEANT4 is preferred, as well as enthusiasm to learn new techniques and to work and interact within a very diverse environment. Experience and interest in rare-event searches (e.g., axion and dark matter detection) and in applying radiation detection techniques to non-standard domains is preferred. The terms of employment are competitive and will include housing and travel subsidies. 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, and at least two letters of recommendation, all in PDF format. If you have any questions, please email: francesco.arneodo@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

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... Senior Scientist for Register Data Lab NexusSoSci 49 Faculty of Social Sciences Startdate: 01.07.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5781 The new Core Facility NexusSoSci is being established at the Faculty of Social Sciences. NexusSoSci provides the infrastructural and technical foundations for a central service and competence center for social science research. It brings together qualitative and quantitative methodological expertise in data collection, data preparation, and data analysis. Senior scientists and the coordinator play a key role in developing the digital, material, and spatial infrastructures that supports research projects, training, and networking activities. The positions will initially be based at the Dean’s Office of the Faculty of Social Sciences and may be transferred to a subunit following a positive evaluation. We intend to fill the position of Senior Scientist for the Register Data Lab from 01 July 2026 onwards, but latest by 15 October 2026. Your personal sphere of play: The Register Data Lab within NexusSoSci, creates the infrastructural, methodological and technical foundations for the use of Austrian register data in social science research. Its aim is to build a central scientific service and competence centre for register-based social research. The Senior Scientist will make a substantial contribution to this objective through (1) the development of standardised data modules, (2) scientific consulting in the planning of research projects, and (3) training and networking activities. Your future tasks: Acting as a central point of contact for questions concerning the use of Austrian register data, particularly in relation to AMDC data, their scientific use and linkage Providing expert advice to researchers in the planning of register-data-based research projects Conducting preliminary assessments of the feasibility of specific projects, particularly with regard to data availability and linkage potential, including the linkage of survey and register data, as well as clarifying data protection issues Developing standardized modules for the preparation of AMDC data based on raw data, and continuously further developing these modules, i.e. providing, maintaining and documenting Python and R code for further use in AMDC projects, using modern data science methods and machine learning approaches Documenting data preparation processes, modules and workflows in a transparent and reusable manner Creating synthetic datasets for consulting and training purposes Designing and organizing training courses, tutorials and workshops for researchers at the University of Vienna Contributing to the strategic development of the Register Data Lab through needs assessments, national and international networking, and exchange with relevant partner institutions Teaching in the field of social science methods in accordance with the collective bargaining agreement This is part of your personality: Completed doctoral or PhD degree in a relevant discipline, particularly in the social sciences, statistics, data science or a related field Demonstrated expertise in social science research based on large and complex datasets, in particular register data Sound knowledge of Austrian register data and their linkage potential Excellent programming skills in Python, and very good knowledge of R and Stata Excellent knowledge of quantitative methods in empirical social research, including panel data analysis and spatial analysis Knowledge of machine learning Knowledge of the creation of synthetic datasets Experience in project management and third-party funding acquisition Ability to communicate complex methodological and technical topics clearly to diverse audiences Strong cooperation and communication skills, with an interest in building scientific infrastructure Excellent teamwork and organizational skills Independent, structured, and responsible work style What we offer: We offer you the opportunity to participate in an inspiring research environment that brings together notable experts in the field (networking) You can make a meaningful contribution in a socially relevant area ("pioneering work") You will work in a team of dedicated colleagues at one of the world's most renowned universities, which is also family-friendly Your salary is 5,014.30 euros (full-time basis; gross) and increases if we can credit professional experience.  It is that easy to apply: Letter of motivation (1 A4 page) Curriculum vitae including publication list, information on courses held and any third-party funding raised Contact details for 2 references Notification of completed doctoral studies Via our job prtal/ Apply now - button If you have any questions, please contact: Nadia Steiber nadia.steiber@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 06/22/2026  (Senior) Lecturer & Researcher

Description The Center for Sand Hazards and Opportunities in Resilience, Energy, and Sustainability (SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Post-doctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering with no more than five years post receipt of the PhD. Applicants are expected to demonstrate research experience in the fields of structural modeling and machine-learning model development. Preferred Qualifications: Experience in the following will be preferred: the development of computational models to represent structural performance using commercial and research software tools the development and validation of machine learning and artificial intelligence models focused on representing the structural response physical experimental testing for structural and geotechnical applications data acquisition and processing from monitoring systems validation of modeling results against experimental and monitoring data Post-doctoral Associate Employment at NYUAD: The terms of employment include highly competitive salary, medical insurance, housing allowance, annual home-leave travel, and educational subsidies for children as well as other benefits. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, transcript or degree, and contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@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