Dhirubhai Ambani Institute of Information and Communication Technology

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 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 40 Faculty of Historical and Cultural Studies Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 5090 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for their continuous striving and curiosity in order to be able to be scientifically successful. Does that sound like something for you? Welcome to our team! Who We Are We are looking to hire a predoctoral research fellow to join the ERC-funded research project Beyond Thalidomide: The Patient as an Agent of Change, based at the University of Vienna. Beyond Thalidomide (2024-2029), funded by an ERC Starting Grant pioneers a history of the global rise of patient engagement with drug-related disability in the second half of the twentieth century to understand how newly empowered agents transformed conceptions of (reproductive) health and disease in science and society. It develops a framework to examine the origins, development, and consequences of patient engagement with antenatal drug use, iatrogenic disability, and reproductive health from the 1960s until today. The PI of the project is Prof. Birgit Nemec, chair of History of Medicine and the Biomedical Sciences at the Faculty Center for Transdisciplinary Historical and Cultural Studies. The Chair of History of Medicine and Biosciences at the Faculty Center for Transdisciplinary Historical-Cultural Studies aims to test and further develop approaches and methods in the field of modern history of knowledge and political epistemologies of medicine and the life sciences and to connect the department's institutes in research and teaching. The current thematic focus of the chair includes sex/gender diversity; medical products; risks and reproductive health; patient activism; dis/ability and global health as well as oral history methods and methods of research collaboration. The position is limited to three years. Your future tasks: Complete your dissertation, based on original archival research, and thereby contribute to the project aims with a thematic focus on either: patient engagement with programs to prevent drug-related disability in health care systems in Western welfare states, in state socialist countries, or in postcolonial, newly independent countries patients’ roles in the “entanglement” of Western drug development and postcolonial global pharmaceutical markets, including the histories of patient legal action led by patients or patient campaigns as a practice and pivotal intervention into scientific and political debates Contribute to project aims such as academic event organization, public dissemination of research results, publications This is part of your profile: MA/diploma degree in history or related fields; very good or excellent course record Experience in archival research Working language skills in two or more languages Interest in interdisciplinary research with public health, medical anthropology and sociology Ability to work independently and collaboratively in research teams Excellent English communication skills Advantages Interest in theoretical and methodological debates in historical research, i.e. global perspectives; intersectional, postcolonial, disability, queer or gender perspectives Profound experience in archival research and/or experience in oral history methods Convincing working sample or outline of a PhD project What we offer: Team: An interdisciplinary, excellently networked and highly motivated working environment in research, teaching and public outreach/engagement Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the center of beautiful Vienna 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 salary of EUR 3.714,80 (on a full-time basis); of EUR 2.786,10 (30h/week). Equal opportunities for everyone: We look forward to increase diversity and invite diverse personalities in the team! Please do let us know if you believe your profile will increase diversity or if you consider yourself part of a marginalised group. It is that easy to apply: Letter of intent which indicates your motivation and interest in the position (max. 2 pages) Scientific curriculum vitae incl. a list of publications and presentations Writing sample (i.e. Master's thesis, book chapter) Draft proposal of the doctoral project (not mandatory) 1 Reference letter, directly sent to Birgit Nemec (birgit.nemec@univie.ac.at) Copies of certificates Via our job portal/ Apply now-button Please submit all your documents in PDF format. If you have any questions, please contact: Birgit Nemec birgit.nemec@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 02/09/2026

Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Deep Learning (DL) to teach "The Brain of AI," a foundational course designed to build a comprehensive understanding of core Deep Learning (DL) concepts, techniques, and applications. The ideal candidate will provide expert instruction on neural network architectures, backpropagation, activation functions, and optimization algorithms, ensuring students gain practical skills using frameworks such as PyTorch, preparing them for advanced AI studies. Responsibilities include: Delivering high-quality instruction in Deep Learning and related AI subjects. Developing and updating course content, projects, and assessments aligned with current research and industry trends. Providing an engaging and supportive learning environment that fosters conceptual understanding and practical competence. Mentoring and advising students on academic and project work. Collaborating with faculty to continuously enhance curriculum design and teaching effectiveness. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Artificial Intelligence, Data Science, or a closely related field. Demonstrated expertise in Deep Learning, Neural Networks, and Machine Learning. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Strong commitment to teaching excellence and student-centered learning. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.