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University Assistant Predoctoral - PhD position in Probabilistic and Interactive Machine Learning
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
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
Salary
The basic salary of EUR 3.776,10 (on a full-time basis)
Posted
28 May 2026
Lecturer and Senior Lecturer in Computer Science, Computer Engineering and Information Security
Singapore Institute of Technology (SIT)
Singapore
Singapore Institute of Technology (SIT)
Singapore
The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning and the third largest university by intake in Singapore. Our mission is to maximise the potential of our learners and to innovate with industry, through an integrated applied learning and research approach, to contribute to the economy and society. As a university that emphasises applied education, SIT offers a unique teaching environment where faculty members work closely with students and industry to ensure graduates are equipped with strong, work-ready skills. Our strong nexus with industry ensures that our programmes stay relevant to the evolving demands of the economy. The Infocomm Technology (ICT) Cluster (Department) The ICT cluster is the largest cluster in SIT in by student intake. Our cluster moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite applications for Lecturer and Senior Lecturer positions. This role focuses primarily on teaching and student development, contributing to SIT’s applied learning approach. We welcome passionate educators, preferably having good relevant industry experience, who are committed to nurturing the next generation of professionals in areas such as: Information Security: Mobile security, cyber-physical systems, security analytics, digital forensics, malware analysis, vulnerability assessment, privacy technologies, and AI security. Computer Science and Software Engineering: Software development lifecycle (SDLC), requirement analysis, design, testing, performance optimisation, databases, computer graphics, distributed systems, computer vision, and multimedia analytics. AI and Emerging Fields: Industrial IoT, computational fintech, robot-human interaction, trustworthy AI, explainable AI, large language models, future communications/5G, and quantum computing. Key Responsibilities: Facilitate and conduct all teaching assignments for undergraduate and graduate students and continuous education programmes. Develop teaching materials and applied learning experiences that are relevant to industry needs and practices, and implement modern pedagogies. Mentor and advise students on academic and career development. Supervise student projects and applied learning projects. Contribute to curriculum design, innovation, and continuous programme improvement. Participate in educational initiatives and activities to enhance student learning outcomes. Requirements: A PhD or a Master’s degree (with significant industry experience) in Computer Science, Computer Engineering, Information Security, Software Engineering, Artificial Intelligence, or a related field from a reputable university. A strong passion for teaching and student engagement. A strong interest in student learning and engagement, and keen to adopt flipped classroom methods, team-based learning, and assessment for learning. Demonstrated teaching excellence, or relevant experience in industry-based education and training. Strong communication and interpersonal skills. Industry experience or professional certifications relevant to your teaching areas will be an advantage. Familiarity with applied learning, competency-based education, or work-integrated learning will be an advantage. At SIT, you will be part of a dynamic and supportive community of educators dedicated to applied teaching excellence. We offer competitive remuneration, comprehensive employment benefits, a collegial and supportive working environment, and opportunities for professional development. The position will be based at the permanent campus of SIT, located at the Punggol Digital District, which is Singapore’s first smart district. Application Submission: Applications will be accepted until the position is filled. All applications must be submitted through the SIT website (https://careers.singaporetech.edu.sg/en/job/). Eligible interested applicants must submit their CVs and teaching statement in PDF format. Where available, please also provide evidence of teaching ability, such as student feedback on the relevant courses taught and a summary of courses taught, past curriculum development, pedagogical innovations, etc. Only shortlisted candidates will be contacted by the Cluster. If you have specific questions about this opportunity, you may email: The Faculty Search Committee Chair, Infocomm Technology Cluster Singapore Institute of Technology Email: ictrec@singaporetech.edu.sg
Salary
Competitive
Posted
29 May 2026
Tenure-Track Assistant Professor in AI and Law in the Faculty of Law and the School of Computing
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 536256 Work type: Full-time Department: Faculty of Law (18100) Categories: Professoriate Staff Applications are invited for a joint appointment as Tenure-Track Assistant Professor in AI and Law in the Faculty of Law and the School of Computing and Data Science (Ref.: 536256), to commence on July 1, 2027, or as soon as possible thereafter, on a three-year fixed-term basis, with the possibility of renewal and with consideration for tenure before the expiry of the second three-year fixed-term contract. Faculty of Law The Faculty of Law, the longest-established law school in Hong Kong, plays a leading role in legal education in Hong Kong and Asia through its various undergraduate, research, postgraduate, and taught postgraduate programmes covering a wide range of legal subject areas. The Faculty is ranked among the top 20 in the 2026 QS World University Rankings by subject for Law & Legal Studies. It is the largest and oldest legal research and law teaching institution in Hong Kong, currently consisting of over 80 teaching members and over 2,500 undergraduate and postgraduate students. Further information about the Faculty can be found at https://www.law.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence, 27th in Computer Science and Information Systems, and 32nd in Statistics and Operational Research in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. Applicants should normally have a first degree in Law (e.g., LLB, BA(Jurisprudence) and JD) and an additional postgraduate degree in Law (e.g., LLM, PhD, D Phil and SJD). Those who do not have an additional postgraduate degree in Law are also encouraged to apply if there is evidence of a strong publication record and relevant experience in teaching, legal practice or the judiciary, or if they possess a postgraduate degree in a non-law discipline. Applicants should be academically strong and demonstrate potential for excellence as teachers and researchers. The appointee will also be a member of the HKU Musketeers Foundation Institute of Data Science (HKU-IDS) under this joint appointment. He/She will be expected to make a significant contribution to the Faculty’s research profile by producing high-quality research and actively participating in research communities. He/She will also be expected to contribute to the development and delivery of teaching in the Faculty’s undergraduate and postgraduate programmes. For enquiry, please email to dolsen@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, professional leave and medical benefits. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload an up-to-date C.V. with details of relevant experience and course teaching interests. Closes June 27, 2026. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency.
Salary
Competitive salary
Posted
29 May 2026
Customer Services Assistant
University of Southampton
United Kingdom, Southampton
University of Southampton
United Kingdom, Southampton
This is a fixed term post for 4 months to cover maternity leave. An opportunity has arisen to join the team at the Glen Eyre Halls of Residence. This is a fixed-term contract for four months. The post is a busy customer-facing role that is based across two areas- the main reception and the post room. You will be regularly interacting with students, contractors and visitors. You will need to to be used to using IT systems, answering phone calls, and quickly become familiar with the University processes and procedures. There are four other members of the team and you will need to be able to work Monday to Friday between 8am-4pm and 12pm-8pm depending on the rota. There is never a dull moment and each day can throw up new challenges, but we all work together and support each other to deliver the best service we can. Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton.
Salary
£25,249 to £26,707 per annum
Posted
29 May 2026
Lecturer/Senior Lecturer - Careers Education
RMIT University
Australia, Melbourne
RMIT University
Australia, Melbourne
Full time, Continuing position Salary Academic Level B ($115,303 - $136,925) / Level C ($141,247 - $162,872) + 17% Superannuation Based at the Bundoora West campus About the Role he Lecturer/Senior Lecturer is expected to contribute to the teaching and research efforts of the school, in disciplines related to Careers Education. The successful applicant is also expected to supervise research projects and theses at the postgraduate level in areas related to their areas of expertise, contribute to School, College and University strategic plan targets in research and/or consultancy, and maintain and develop his/her professional standing within the profession or discipline. The appointee is also expected to work collaboratively and collegially with fellow academics within the teaching team and undertake administrative tasks as appropriate. The successful applicant must have a completed PhD in a relevant discipline and a recognised teaching qualification together with recent experience appropriate to the Careers Education sector. To be successful for level B appointment, you will have: Demonstrated ability to prepare and deliver programs at undergraduate and post-graduate levels, including online delivery, and the ability to produce high quality curriculum or program materials. Ability to undertake course coordination role. Demonstrated ability to supervise higher degree by research candidates. Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government. Please view position description for further selection criteria In addition to the above criteria, to be successful for level C appointment, you will also have: Demonstrated ability to coordinate large courses and prepare and delivery programs at undergraduate and post-graduate levels, including high quality curriculum and program materials and ability to implement innovative approaches, notably digital technology and AI in career guidance, whilst maintaining student-centred learning and quality improvement. Ability to manage a large program or a number of small programs. Demonstrated ability to support effective student learning, including delivering customised programs online, in-person, and accelerated/block modes. Emerging nationally recognised research track record including substantial record of research outputs in high quality outlets. Please view position description for further selection criteria Qualifications Mandatory: PhD in relevant field and a recognised teaching qualification Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the School The School of Education is one school within the College of Design and Social Context and offers undergraduate and postgraduate studies in education, pre-service teacher education, early childhood education, educational research, professional learning and short courses. To Apply Please submit your CV, covering letter and separate document addressing the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. Candidates are asked to specify level of the appointment they are applying for in the cover letter. For further information about this position, please see the Position Description hyperlinked below or contact Jessica Bernardo (Senior Talent Acquisition Advisor) via email jessica.bernardo@rmit.edu.au. Position Description - Lecturer, Careers Education Position Description - Senior Lecturer, Careers Education Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Applications close on Thursday 18th June at 11.59pm. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Acquisition Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. We are a Circle Back Initiative Employer - we commit to respond to every applicant.
Salary
$115,303 - $162,872
Posted
29 May 2026