Al Buraimi University College

The Role The School seeks to appoint a two-year Career Development Fellow in French & Francophone Studies. Applications are welcome from those working in all areas of French & Francophone literary and cultural studies, and we are especially interested to receive applications from those with specialisms in the 16th, 17th and 18th centuries. In line with institutional expectations for Career Development Fellowships, your time will be divided between the three core activities of teaching (60%), research (30%) and citizenship (10%). The post offers an exciting opportunity to develop internationally excellent research/scholarship and teaching while providing unrivalled, tailored support for your career progression at an exciting and progressive institution. Given the developmental nature of the role it is not anticipated that the post will be extended beyond the initial fixed term of two years. Following the end of the term, the role-holder will be in a strong position to apply for relevant permanent academic roles, should they arise, at Durham or elsewhere. Successful applicants are normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health reasons will be considered. This is because the role is aimed at early career academics who would benefit from a structured development programme and provision of both formal and 'on the job' training. The post is also open to those who are returning to academia after a career in another sector. Successful applicants will ideally be in post by 1 September 2026 or as soon as possible thereafter. The University provides a working and teaching environment that is inclusive and welcoming and where everyone is treated fairly with dignity and respect. Candidates will be expected to demonstrate these key principles as part of the assessment process. Potential Interview Date: TBC, likely late June or early July 2026

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.07.2029 Reference no.: 5671 The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. The job posting includes two pre-doctoral positions, each for 30 hours per week. Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The two postdoctoral positions are based in the newly established “Computer Science Education Group” (CSEG) within the “Didactics of Computer Science” professorship, led by Mag. Dr.techn. Bernhard Standl in the EDEN research group at the Faculty of Computer Science at the University of Vienna. The positions are situated within the research fields of computational thinking and AI literacy. The dissertations will focus on computer science education, with an emphasis on the empirical investigation of teaching and learning processes related to fundamental computational ways of thinking and acting, such as problem-solving processes, abstraction, modeling and pattern recognition as well as the understanding, application and reflection on artificial intelligence. A central research environment is the Computer Science Teaching and Learning Lab, where teaching and learning scenarios are developed, tested, empirically investigated and further refined in both school and university contexts. These positions offer the opportunity to contribute to a newly emerging research group, write a cumulative dissertation in computer science education and engage with national and international research networks. The selected pre-doctoral researchers will also be integrated into the UniVie Doctoral School of Computer Science (DoCS). Your future tasks: You actively participate in research, teaching & administration, which means: You are working on your dissertation and its completion in the field of computer science education, specifically on computational thinking, AI literacy, fundamental concepts in computer science or digital literacy. You develop and test computer science education workshops and teaching-learning scenarios for the Computer Science Teaching-Learning Lab and for use in schools. You conduct these workshops in the Computer Science Teaching and Learning Lab and in school-based collaborative settings. You conduct empirical research on the developed teaching and learning scenarios, evaluate the results and iteratively refine the concepts. You author academic publications, conference papers and presentations. You participate in research-based teaching as well as in school collaboration initiatives, knowledge transfer activities and organizational tasks within the research group. We expect you to finalize your dissertation agreement within 12 months. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed Master's degree or Diploma in the field of computer science, teaching digital literacy and computer science, computer science education or a related field with a clear focus on computer science or computer science teaching and learning processes. A strong interest in computer science education, AI literacy, computational thinking and empirical teaching and learning research. Willingness to work on a dissertation in the field of computer science education. Basic knowledge of empirical research methods or a willingness to develop these skills further. Strong computer science and technical skills, particularly in programming, digital tools or computer science teaching and learning settings. Excellent command of written and spoken German and English (C1 Level). A structured, independent and reliable work style, ability to work in a team, strong communication skills and a passion for interdisciplinary collaboration. Desirable qualifications include: Knowledge or experience in one or more of the following areas: computational thinking, programming, algorithmic thinking, physical computing, robotics, modeling, basic computer science education, AI literacy or general digital literacy. Experience in schools, teacher education, learning support or educational work. Initial experience with qualitative, quantitative or mixed-methods research designs, design-based research, instructional development or the evaluation of teaching and learning settings. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) (paid 14 times a year) increases if we can credit professional experience. Duration of contract: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent A cover letter explaining why you are a good fit for the position and the research field of computational thinking / computer science education A brief outline of potential dissertation topics, approx. 1–2 pages Proof of completion of a master’s or diploma program Abstract of your master’s or diploma thesis If available: list of publications, proof of teaching experience, classroom experience, project collaboration or academic presentations Optional: a representative writing sample, e.g., master’s thesis, seminar paper or publication Via our job portal / Apply now - button If you have any questions, please contact: Bernhard Standl bernhard.standl@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: 06/15/2026 Prae Doc

Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential. Selected candidates will spend half their time on collaborative research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@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’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 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