Quest International University (QIU)

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? To strengthen our team, we are seeking a university assistant to develop advanced machine learning and artificial intelligence methods. University assistant predoctoral - PhD position in Probabilistic and Interactive Machine Learning 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5376 Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science, led by Prof. Sebastian Tschiatschek, develops foundational methods in machine learning and artificial intelligence. We focus particularly on the areas of reinforcement learning, interactive learning, and deep probabilistic models. While modern reinforcement learning (RL) has achieved remarkable success, it remains limited when applied to complex, open-ended, or poorly defined environments. Two of the most critical bottlenecks in contemporary AI are sample inefficiency, often caused by the lack of intelligent, structured exploration, and the "reward engineering" problem, where designing an explicit scalar reward function that captures desired behavior is incredibly difficult or impossible. Furthermore, as AI systems are deployed in more complex environments, the challenges of AI alignment (ensuring systems behave according to human preferences) and constrained learning (adhering to strict safety, legal, or physical boundaries) become important. This position is dedicated to addressing these core challenges by advancing the frontiers of Inverse Reinforcement Learning (IRL), exploration, and safe/aligned AI.                       Your future tasks: You actively participate in research, teaching & administration, which means: You will contribute to academic research projects in the above-mentioned areas. You will work on scientific articles and publish your research results. You will participate in academic conferences to present your research. We expect you to conclude your dissertation agreement within 12 months. You will work on your dissertation and bring it to completion. You will take on teaching responsibilities as specified by the collective agreement. You will support the supervision of students’ projects and theses. You will undertake administrative duties in research, teaching, and university administration, and support the organization of workshops, conferences, and symposia. This is part of your personality: Completed Master's degree (or comparable degree) in computer science, data science, mathematics, communication engineering, or a related field (Applications from candidates close to completion are welcome. Employment can only begin once the Master´s degree has been awarded.) Excellent command of English Outstanding written and oral communication skills Strong ability to collaborate within research teams Perseverance and a proven ability to bring projects to reliable completion High motivation and commitment to scientific excellence Willingness to travel, including participation in national and international conferences Solid knowledge of machine learning and artificial intelligence (in particular in the areas of bandits and reinforcement learning) Strong programming skills, preferably in Python. Experience with deep learning frameworks such as Jax, PyTorch, or TensorFlow. Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods Cooperative, team-oriented, and proactive working style The following are also desirable: Experience with research methods in the field of machine learning and artificial intelligence, as well as scientific writing Excellent academic record, ideally with initial research results in the area of the position, documented by publications or manuscripts in preparation Experience in university teaching International experience 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) increases if we can credit professional experience. Tenure: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: Academic curriculum vitae  Letter of motivation including your project ideas (and description of your teaching experience, if available) Abstract of Master´s Thesis Degree certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@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: 06/06/2026 Prae Doc

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

Be part of an exciting new chapter in design at Waikato and help lead and shape our future-focused programmes. Help shape the future of transdisciplinary design Inspire students through innovative teaching and practice Join a growing team with opportunities to progress Ngā kōrero mō te tūranga - About the role The University of Waikato is growing its Faculty of Design, and we are seeking talented academics and educators to join us in Senior Teaching Fellow, Lecturer or Senior Lecturer roles in Transdisciplinary Design. These newly created roles offer an exciting opportunity to help shape the future of design at Waikato. You will contribute to a distinctive and expanding design programme that brings together creative practice, teaching and applied research to address complex social, environmental and technological challenges. Working across and beyond traditional design disciplines, you will teach and collaborate in an environment that values innovation, interdisciplinarity and real-world impact. Depending on your experience and strengths, your role may focus on teaching excellence and student success, or combine teaching with research and postgraduate supervision. You will also have opportunities to engage with industry, iwi and communities through partnerships that support meaningful design outcomes and contribute to our future-focused vision for design education. This is an exciting time to join the Faculty of Design as we continue to expand and build a distinctive design offering at Waikato. The Senior Teaching Fellow is a 0.4 FTE role, with the Lecturer and Senior Lecturer positions being full-time (37.5 hours per week), permanent roles based at our Hillcrest Campus in Hamilton. For more information on these roles, please see the position description links - Senior Teaching Fellow, Lecturer or Senior Lecturer. For a confidential conversation about the roles, please contact Professor Ricardo Sosa at rsosa@waikato.ac.nz All applications must be submitted through the online portal; emailed applications will not be accepted. Ko wai koe? - Who are you? You will be an engaged and collaborative educator or academic with expertise in design and a passion for supporting students to thrive. You may bring strengths in teaching, research, professional practice or a combination of all three, alongside a commitment to design that connects disciplines, communities and ideas. You will also bring: A postgraduate qualification or PhD in a relevant discipline (or close to completion, where applicable)  Experience teaching in tertiary education or strong evidence of teaching capability  Broad knowledge across design theory, methods and practice  The ability to work across design disciplines and collaborate with others  A student-centred approach to teaching and curriculum development  Strong communication and relationship-building skills  A commitment to Te Tiriti o Waitangi and engaging with Māori in ways that support positive outcomes  The ability to contribute to partnerships with industry, iwi, community or public sector organisations  For Lecturer and Senior Lecturer appointments, experience in research, publication and postgraduate supervision will be highly regarded. For Senior Teaching Fellow appointments, a strong focus on teaching excellence, curriculum development and student engagement will be key. Ko wai mātou? - Who are we? The Faculty of Design sits within Te Kura Toi - School of Arts, part of the Division of Arts, Law, Psychology and Social Sciences. We are building a distinctive approach to design education and research at Waikato - one that is future-focused, collaborative and responsive to real-world challenges. Our programmes bring together creative practice, research and community engagement to create meaningful impact across sectors and disciplines. We are committed to academic excellence, student success and giving effect to Te Tiriti o Waitangi through our teaching, research and partnerships. He aha ngā take me tono mai ai koe? - Why should you apply for this position? We want you to be part of our success! Our university stands proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths. Working with us means you'll enjoy a satisfying work environment with many benefits. The University of Waikato is distinctive for the diversity of its staff and students and encourages applicants with the relevant capabilities from all backgrounds to apply. Applicants must have the legal right to live and work in NZ in accordance with the NZ Immigration regulations, which can be found here. Ko te Tangata - For the People The University of Waikato prides itself on the quality of its engagement with the communities that it serves, the provision of a world-class education and the national and international impact of its research. Our policies are guided by the principles of the Treaty of Waitangi and equal opportunity for all. E herea ana te Whare Wānanga ki te kaupapa kia whakaratohia te mea angitū ōrite ki ngā tāngata katoa. Applications close on Sunday, 28 June 2026 Requisition number: 1003671