Aomori Public University

At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5037 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your personal sphere of influence: As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around Professor Borivoje Dakić. Our team is part of the Quantum Optics, Quantum Nanophysics, and Quantum Information group of the Faculty of Physics. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on premises and about 300 quantum researchers in Vienna. The Dakić group is an international team of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/. Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project on the advertised research topics. You will present your research plan to the faculty and complete a dissertation agreement within 12–18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness, as the goal will only be achieved in a team. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fulfil some administrative tasks, contributing to the success and self-organization of the group in research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. This is part of your personality: We expect a strong candidate with the following requirements: You have completed your Master’s degree or Diploma in Physics, Mathematics, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. Experience in data-reuploading quantum algorithms, optical quantum computing and quantum machine learning (highly desirable). Experience in machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators (highly desirable). Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are 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. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world in quantum information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.) increases if we can credit professional experience. 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. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please send us: Your scientific curriculum vitae. A statement on your research interests for the future (motivation letter), with particular emphasis on your experience in optical quantum computing and data-reuploading algorithms, and machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators. Contact information of two referees. Your Bachelor’s and Master‘s degree certificates and transcripts. If you have any content questions, please contact: Borivoje Dakic borivoje.dakic@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: 01/06/2026 (MM-DD-YYYY) Prae Doc

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an  Postdoctoral position in Structural Biology of Comammox in Vienna 74 Max Perutz Labs Startdate: 01.09.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.05.2027 Reference no.: 4634 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The research team of Prof Kristina Djinovic-Carugo at the University of Vienna seeks an experienced and highly motivated Postdoc in the area of structural biology. In cooperation with the research groups of Michael Wagner and Holger Daims the Djinovic Lab is involved in studies of physiology, structural biology, biochemistry, and ecology of nitrifying microorganisms with focus on complete ammonia oxidizers (comammox organisms). We are a committed team and offer an interdisciplinary scientific environment, cutting-edge laboratories, and a creative working atmosphere. We are looking for a dedicated, enthusiastic Postdoc in the field of structural biology and biochemistry. This position is limited to a duration of 9 months. Following this, there is an option for employment through a third-party funded project until a maximum of September 30, 2028.  About the Max Perutz Labs The Max Perutz Labs are a joint research institute of the University of Vienna and the Medical University of Vienna. They were founded in 2005 to deepen the collaboration between the two universities in the field of molecular biosciences. Around 450 scientists from over 40 nations work in 40 research groups at the institute, investigating fundamental questions in molecular and cell biology. State-of-the-art research infrastructure supports their work in basic biomedical research. Your future tasks: Active participation in research, teaching & administration, which means: You are involved in a research project on the structural and biochemical characterization of selected enzymes from comammox and other nitrifying microorganisms You are involved in research projects and scientific studies. You publish internationally and give lectures. You are involved in a research project on the structural and biochemical characterization of selected enzymes from Comammox and other nitrifying microorganisms You are willing to be involved in research regarding muscle proteins (Core research area of the Djinovic lab). You supervise trainees and students. 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: Doctoral or PhD degree (Biology, Molecular Biology, Structural Biology, Biochemistry, or similar) Experience working with a plethora of bioinformatics tools dealing with sequence and structure analysis. Excellent knowledge and experience in structural biology. Didactic competence Experience with course organization, teaching and assignments/homework preparation High ability to express yourself both orally and in writing Excellent command of written and spoken English IT user skills Ability to work both independently and in a team. Experience working with international collaboration partners and working on several projects simultaneously Additional qualification profile: Methodological competences: Practical experience in molecular cloning, expression, purification of protein complexes and their biochemical and biophysical characterization. Prior knowledge of crystallography and/or single-particle electron microscopy is an advantage. What we offer: Work-life balance: Our employees enjoy flexible 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. An inspiring research environment embedded in the Ludwig Boltzmann Institute for Network Medicine at the University of Vienna. Access to cutting-edge computational resources and clinical datasets Opportunities to engage in high-impact, translational research projects Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. A vibrant academic community in one of Europe’s most livable cities 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 4.932,90  (14 times a year). 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 With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree Contact details of persons who could provide reference letters Via our job portal / Apply now - button If you have any questions, please contact: Kristina Djinovic-Carugo kristina.djinovic@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: 01/02/2026 (MM-DD-YYYY) Post Doc

Description The SHORES Center at New York University Abu Dhabi (NYUAD) invites applications for a Postdoctoral Associate position in the area of Digital Twins and Artificial Intelligence (AI) for Smart Infrastructure Management Systems to work under the supervision of Professor Borja García de Soto, director of the S.M.A.R.T. Construction Research Group and Co-PI in the SHORES Center. The successful candidate will also collaborate with researchers and other Investigators from the SHORES Center on project related to the advancement of multidisciplinary research supporting the digitalization of the built environment. The selected researcher will expand the current research in the area of AI- and ML-powered digital twin frameworks for civil, energy, and built-environment infrastructure. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven evaluation, and predictive maintenance. The work also address user comfort and indoor environmental quality (IEQ) as key dimensions of infrastructure performance. This research forms part of a broader effort to design smart, adaptive, and resilient Infrastructure Management Systems that leverage digitalization, automation, and intelligent decision-making. Key Responsibilities include conduct cutting-edge research on the integration of Digital Twins with AI/ML technologies for infrastructure lifecycle management. Develop and validate computational models for monitoring and predicting infrastructure performance. Collaborate with faculty and researchers across SHORES. Disseminate research findings through high-impact publications and conference presentations. Mentor graduate and undergraduate students involved in related projects. Candidates must hold a Ph.D. in Civil Engineering, Computer Science, or a related discipline with a focus on Digital Twins, AI, ML, or smart infrastructure systems. Strong background in computational modeling, data analytics, and/or automation in construction or infrastructure management. Demonstrated research excellence through peer-reviewed publications. Experience with programming languages and software platforms relevant to Digital Twin development (e.g., Python, MATLAB, Revit, Unity, or IoT frameworks). Excellent written and verbal communication skills in English. The terms of employment are competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, applicants must submit the following documents in PDF format: a cover letter, curriculum vitae with a complete list of publications, academic transcript, research statement, sample journal publications, and at least three letters of recommendation. For any questions, please contact garcia.de.soto@nyu.edu. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.