About the teamJoin the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research sits at the intersection of AI Safety and Data-Centric AI. We aim to make large-scale ML more reliable, transparent, and aligned with human values. We are specifically interested in:Data-centric AI: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic interpretability and understanding the fundamental drivers of model performance at scale. As an early member of this fast-growing team, you will have a unique opportunity to shape our research culture and contribute to high-impact projects from the ground up. We are currently hiring a founding cohort of 3 PhD researchers to tackle high-impact projects across our core focus areas. We are looking for curious minds who are excited to push the boundaries of responsible AI. Learn more about the lab's work at: Tasks and ResponsibilitiesDevelop machine learning methods and tools with a specific focus on: Data-Centric AI: Including data attribution, data curation, and privacy preservation for large foundation models (e.g., LLMs and VLMs);Agentic AI: Exploring multi-agent systems and their dynamics;Explainable AI: With a particular emphasis on mechanistic interpretability.Invent, evaluate, and publish novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data.Pursue and complete a PhD thesis within the appointed 4-year duration.Join the Vienna Doctoral School of Computer Science and conclude a doctoral thesis agreement within 12 months.Present your research results at top-tier international conferences, workshops, and journals.Contribute to the academic community by assisting in the organization of international meetings, conferences, and symposia.Take on administrative responsibilities to support the research group and the Faculty of Computer Science. You hold courses and examinations independently and (co-)supervise students within the scope of the provisions of the collective bargaining agreement. Your qualificationsMust-havesA Master's degree (completed or near completion) in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related quantitative field. A solid background in machine learning, statistics and/or mathematics.Strong programming skills in Python. Ideally, also proficiency in at least one major deep learning framework (e.g., PyTorch, JAX).An early track record of research (e.g., a high-quality Master's thesis, open-source contributions, or workshop papers). Excellent command of written and spoken English, as we operate in a global research environment.A high degree of intrinsic motivation, curiosity, and the ability to work both independently and collaboratively.Desirable skillsExperience in training or fine-tuning large-scale models (LLMs, VLMs) in distributed settings. Familiarity with cluster computing environments (e.g., SLURM) and Linux-based workflows.Prior experience in a research lab, including contributions to publications or significant open-source projects.Teaching experience. What we offerCompetetive Compensation: A full-time salary of EUR 3,776.10 (on a full-time basis, paid 14 times a year) which may increase if we can credit professional experience.World-Class Location: Live and work in Vienna, consistently ranked as the world's most livable city, with our office easily accessible via excellent public transport.Inspiring work atmosphere: Become part of an international academic team in a healthy and collaborative working environment.Training and Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from - free of charge.Contract Structure: The planned employment duration is up to 4 years. Following standard university procedures, the initial contract is for 1.5 years. This automatically extends to 3 years - and subsequently up to 4 years based on research progress - following a successful mutual evaluation in the first 12 months. What you need to applyAcademic curriculum vitaeCover letter (State the earliest start date and your motivation to apply.)A copy of your thesis (or an extended abstract if still in progress)Official transcripts for both your Bachelor's and Master's degreesFill out this form (optional but encouraged): If you have any questions, please contact:Martin Pawelczyk look forward to welcoming new talent 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: 05/20/2026 Prae Doc Apply now weniger ansehen

The Faculty of Informatics, one of the eight faculties at TU Wien, plays an active role in national and international research and has an excellent reputation. The main areas of research include Computer Engineering, Logic and Computation, AI and Data Science, Cybersecurity, Visual Computing & Human-Centered Technology, as well as Information Systems Engineering. The TU Wien Faculty of Informatics seeks to fill the open tenure-track position of an Assistant Professor of Software Engineering. The position is affiliated with the Institute of Information Systems Engineering, Research Unit Software Engineering. The estimated starting date is March 2027. The work contract is initially limited to six years. The candidate and TU Wien can agree upon a tenure evaluation, which when positive, opens the possibility to change the position to Associate Professor with an unlimited contract. Software-intensive systems are central to modern society and the foundation of nearly all digital infrastructures. Their increasing scale, interconnectedness, and complexity pose significant scientific and engineering challenges related to their development, evolution, quality, and trustworthiness. The new tenure-track position strengthens TU Wien's strategic focus on software engineering and its role in shaping technological landscapes and thus societies. The faculty aims to attract an excellent, internationally visible researcher with innovative ideas on advancing the foundations, methods, and tools for engineering reliable and trustworthy complex software systems in times of Agentic AI and beyond. The position will closely interact with ongoing initiatives in artificial intelligence, systems engineering, and human-centered technology across the university. Tasks: The research directions of the successful candidate should cover some of the following topics, but are not limited to them: Software engineering with and for Artificial Intelligence, data-intensive, and machine-learning-based systems, including AI-assisted development, automation, debugging, and repair, as well as the engineering of trustworthy AI-enabled software Software testing, quality assurance, analysis, and evolution Empirical and data-driven software engineering, including large-scale data analysis and mining software repositories Secure, reliable, and responsible software engineering, addressing compliance, sustainability, robustness, and societal impact Human-centered aspects of software engineering, including developer experience, collaboration, and socio-technical processes Software architecture, design, and lifecycle management, including architectural principles, patterns, quality attributes, and the evolution of large software systems Software engineering for emerging computing paradigms, such as cyber-physical systems, and quantum software engineering Research Tasks: Conduct internationally competitive research in software engineering Engage in research collaborations within TU Wien and with academic and industrial partners Develop and lead research projects and acquire third-party funding Contribute to interdisciplinary initiatives at the Faculty of Informatics Teaching Tasks: To teach in the Bachelor's, Master's, and Doctoral curricula in computer science, business informatics, and computer engineering. In particular, a compulsory undergraduate course on Web Engineering has to be taken over and further developed Teaching in the Bachelor's curriculum requires proficiency in German; corresponding requirements may be part of the qualification agreement Participating in the supervision of Bachelor's, Master's, and Doctoral theses Besides research and teaching, the duties of an Assistant Professor at TU Wien include contributing to academic self-governance and faculty service tasks. Your profile: Applicants are expected to have the following qualifications: PhD or doctoral degree in Computer Science, or closely related subjects Post-doctoral experience at a university or research institution Proven expertise in software engineering, evidenced by an excellent publication record and international visibility Strong potential for independent, high-impact research Experience in academic teaching and supervision of theses Experience in designing and conducting research projects; willingness and ability to lead a research group and acquire third-party funding If not yet proficient in German, willingness to learn the language within a reasonable timeframe to participate in teaching, committees, and faculty activities; English language proficiency at level B2 or higher is required Pedagogic and didactic skills Administrative and organizational skills Experience in working with companies or public administration Gender sensitivity and social skills We offer: A tenure-track position with a full career path, consisting of the following milestones: At the beginning of the employment, a qualification agreement is signed with the university Upon successful fulfilment of the qualification agreement within 5 years, the candidate is promoted to associate professor with tenure Subsequent excellent achievements may lead to promotion to full professor A wide variety and exciting range of tasks in a collegial team Wide range of internal and external training opportunities, various career options Excellent working conditions in an international research environment An attractive salary, including additional contributions to a pension fund A mentoring program for assistant professors A position in a city with an exceptional quality of life A range of attractive employee benefits, which can be found at the following link: Benefits) General information can be found at the following links: TU Wien Faculty of Informatics Software Engineering Research Unit Institute of Information Systems Engineering Living in Vienna TU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour. People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter. The employment starts as University Assistant with a minimum salary of EUR 5,014.30 gross (14 x per year) according to the collective bargaining agreement for a PostDoc. After signing the qualification agreement, the employment continues as Assistant Professor with a minimum salary of EUR 5,904.00 gross (14 x per year). We look forward to receiving your application until June 25th, 2026. Applications have to include the following documents: A detailed curriculum vitae A letter of motivation A list of publications sorted by journals, conference papers, and other publications A teaching statement: 2 pages maximum A research statement: brief summary of past research activities, as well as a convincing outline of planned research activities, and an explanation of their contribution to the scientific profile of the Faculty of Informatics; 4-6 pages maximum; incl. abstract Certificates of doctoral and diploma degrees should be uploaded under the category: +add more documents Copies of the applicant's three most important publications related to the position together with an explanation of their relevance should be also uploaded under the category: +add more document Apply nowTU Wien TU Wien If you have any questions, please do not hesitate to contact us Carmen Keck T: 1 Here you can find also relevant information about the application process. TECHNOLOGY FOR PEOPLE Furthermore, please note that applicants will not normally be reimbursed for travel costs incurred in connection with this admission process. weniger ansehen

Your personal sphere of play:Your future position is at the Vienna Center for Experimental Economics (VCEE) which is part of the Faculty of Business, Economics and Statistics. Information about the VCEE can be found on the website at future tasks:Active participation in research, teaching & administration, which means:You are involved in research projects at the VCEE.You publish internationally and present your work at seminars and conferences.You participate actively in all activities of the VCEE (e.g., brownbag, seminar, retreat, workshops) You apply for projects and raise third-party funds.You hold courses independently within the scope of the provisions of the collective bargaining agreement.You participate in examination activities.You participate in evaluation measures and in quality assurance.You take on administrative tasks in research, teaching and administration. This is part of your personality:• Completed doctoral/PhD studies in Economics (before starting your employment)• Outstanding dissertation • Ambition to build an international career • Research Competence and initiative • Didactic skills• Excellent knowledge of English• Knowledge of German is an asset but not required. What we offer:Work-life balance: Our employees enjoy flexible working hours.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.Fixed-term contract and fair salary: The basic salary of EUR 5,014,30 (14 times a year) for a period of 4 years.Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply:With your scientific curriculum vitae that details your education, teaching expertise and list of publicationsWith your letter of motivationWith one research paper.With contact details of two researchers willing to provide an academic reference.Via our job portal/ Apply now - buttonIf you have any questions, please contact:Jean-Robert Tyran 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: 05/26/2026 Post Doc Apply now weniger ansehen

MED-EL is a leading manufacturer of innovative medical devices for the treatment of various types and degrees of hearing loss. Our unique portfolio of implantable hearing solutions benefits thousands of individuals in more than 140 countries worldwide. With headquarters in Innsbruck, Austria, MED-EL has over 3,100 employees around the world.
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