ETH Zurich

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 offering 3 PhD Positions on Cosmological Simulations 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 01.03.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 28.02.2030 Reference no.: 5059 Among the many reasons 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 continuous striving for top international research and scientific excellence. At the same time, they enjoy support and liberties that are not a given at other institutions. Does that sound like something for you? Your working place: The Department of Astrophysics with currently around 100 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna. The research group “Data science in Astrophysics & Cosmology” is looking for three highly motivated and talented predoctoral researchers.  The focus of our research is in the field of Data/Computational Science in Astrophysics & Cosmology. You can find more information about our research area and our team on our website: https://cosmology.univie.ac.at. As a team, we understand the importance of a positive, inclusive, and respectful working environment, and we regularly exchange ideas about current topics and projects in our group meetings. The positions will furthermore be integrated into the new research network DUNE (Dark UNiverse Explorations) which links cosmological research between the Universities of Vienna and Innsbruck as well as the IST Austria. Two PhD students will be working on cosmological inference using simulations with Oliver Hahn, and one PhD student will be working with Sylvia Ploeckinger on analysing cosmological hydrodynamic simulations with new statistical methods. Please indicate preference for projects (if any) in your motivation letter. Your future tasks: You actively participate in research and related activities, which means: You are involved in research projects and scientific studies in the area of Cosmological Simulations in an international and interdisciplinary environment. You participate in and contribute actively to the research group’s activities (such as group meetings, journal clubs, institute seminars, etc.) and activities of the research network (jointly with the University of Innsbruck and the IST Austria). You will continuously stay informed about the state of the art in your field. You will contribute to the dissemination of scientific results through publications, conference presentations, and outreach activities. We expect you to finalize your dissertation agreement within 12-18 months, and complete your dissertation within the contract period. You will become an active member of the doctoral school VISESS. Required Qualifications/Position Requirement: Completed Diploma or Master's degree in Physics, Astrophysics, or related fields (e.g. Computational Science, Applied Mathematics). Excellent command of written and spoken English (C1 level) Excellent programming skills in Python and their scientific application. Experience in academic writing. Excellent abilities to work in a team and excellent communication skills You are goal-oriented and have a high motivation to strive for scientific excellence. Additional knowledge in high-performance computing, statistics, machine learning, or (astro-)physics (in particular cosmology, galaxy formation, or general relativity) will be an advantage. What we offer: Inspiring working atmosphere: You will have the opportunity to work within a dedicated team on forefront science, while profiting from the international environment in the Department of Astrophysics. We have privileged access to the Vienna Scientific Cluster (VSC) super-computing facility. As a member state of ESO and ESA, Austria has access to their first-class observing facilities. Good public transport connections: Your working place, the University Observatory, is located in the middle of the natural monument Observatory Park in the lively city of Vienna with outstanding public transport. Work-life balance: Our employees enjoy flexible working hours. Upon agreement, hybrid working hours within Austria might be possible up to a certain extent. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis.  Fair salary: A basic gross salary of EUR 3.714,80 (on a 40h/week basis) per month, 14 times a year. Equal opportunities for all: We look forward to diverse personalities in the team! The employment duration is until Feb 28, 2030, but initially limited to 1.5 years. The employment relationship is automatically extended until Feb 28, 2030 if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. The employment start date is negotiable. It is that easy to apply: a motivation letter (max. one page) a curriculum vitae, incl. a summary of prior research activities and achievements, future research interests, and including a list of publications and presentations (if applicable; max. two pages) PDF or cloud link of the Master’s thesis (if already submitted, otherwise a major scientific document you have authored during your studies) One letter of reference to be sent directly to recruiting.astro@univie.ac.at referencing the job ad ID 5059 bachelor's and master's diploma and transcripts (if degree already obtained) via our job portal “Apply now” button. If you have any questions, please contact: Oliver Hahn oliver.hahn@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: 01/11/2026

Department: Radek Marek Research Group – Central European Institute of Technology Deadline: 28 Feb 2026 Start date: Flexible, ideally between May and October 2026 Job type: full-time Job field: Science and research Come to CEITEC MU in Brno and join us! We are passionate chemists at CEITEC Masaryk University looking for  PhD Candidate/Student in Computational Quantum Chemistry & Spectroscopy About this position:  Do you have a passion for understanding the electronic structure of molecules? Join our team! Our research focuses on the relationship between molecular and electronic structure and spectroscopic parameters, with a particular emphasis on magnetic resonance. This is an ideal opportunity for candidates interested in applied quantum chemistry, especially with a focus on heavy element compounds. The Marek Lab has access to state-of-the-art computational tools and cutting-edge NMR instruments at our local core facility, available for regular use. With secured third-party funding, our lab is well equipped to fully support the successful candidate’s research. We are seeking a creative, independent, and highly motivated colleague with a background in computational, theoretical, or physical chemistry, or chemical physics. Candidates with expertise in density functional theory (DFT) or theoretical spectroscopy are particularly encouraged to apply. 4 selected references:  A. Sasukimar et al. Supramolecular covalency of halogen bonds revealed by NMR contact shifts in paramagnetic cocrystals. Chem. Sci. 2025, 16, 20239-20244. https://doi.org/10.1039/D5SC05769H. J. Novotny et al. Paramagnetic Effects in NMR Spectroscopy of Transition-Metal Complexes: Principles and Chemical Concepts. Acc. Chem. Res. 2024, 57, 1467-1477. https://doi.org/10.1021/acs.accounts.3c00786. B.J.R. Cuyacot et al. Relativistic Spin–Orbit Electronegativity and the Chemical Bond Between a Heavy Atom and a Light Atom. Chem. Eur. J. 2022, 28, e202200277. https://doi.org/10.1002/chem.202200277. J. Vicha et al. Relativistic Heavy-Neighbor-Atom Effects on NMR Shifts: Concepts and Trends Across the Periodic Table. Chem. Rev. 2020, 120, 7065-7103. https://doi.org/10.1021/acs.chemrev.9b00785. Ideal candidate profile:  Must-have qualifications:  MSc or equivalent degree (preferably in Physical Sciences) Strong interest in electronic structure and quantum chemistry Hands-on experience with computational quantum chemistry and programming skills is a strong plus Fluency in English (spoken and written) Nice-to-have qualifications:  Good communication and interpersonal skills High motivation and a collaborative mindset What we offer:  Open access to computational resources and CEITEC MU core facilities with state-of-the-art equipment and experienced staff Full-time PhD contract An attractive and competitive salary Flexible working hours Support for further education and professional development  Benefits package: 6 weeks of paid holiday, medical insurance, financial contribution to meal and kindergarten/pension scheme, Multisport card, mental health care, sports lessons directly at the campus  Daycare for children on Campus Support in these areas: Welcome Office service before and after arrival  Grant Office support  CEITEC PhD Committee CEITEC events – workshops, conferences, lectures, training, family gathering etc. How to apply?  Application deadline: 28 February 2026 Start date: Flexible, ideally between May and October 2026 Interested candidates should submit their application via the online application portal.  The application should include the following documents: A motivation letter describing your research interests and relevant experience A detailed curriculum vitae (CV) Academic transcripts (Bachelor’s and Master’s degrees) Contact information for up to two academic referees In case of any troubles with the e-application, please contact Petra Linhartová (petra.linhartova@ceitec.muni.cz).

Job Purpose The Professional Officers Division (POD) houses two Innovation Centres – Rapid Product Innovation and Development (RaPID) Centre and SIT-Poly Innovation Centre of Excellence (SPICE) Centre. The RaPID Centre aims to guide businesses in their innovation and value creation activities through rapid product development and sample production while the SPICE Centre aims to support local Small and Medium Enterprises (SMEs) in their technology-driven transformation, innovation and talent development initiatives. These Innovation Centres house a dedicated pool of Professional Officers who come with specialised and deep technical skills acquired through extensive industry experience. Professional Officers work with industry partners to co-create commercially viable solutions. They deliver on projects that help industries and businesses to move up the innovation value chain. While working on these projects, Professional Officers will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands. The success of these initiatives will bring about deeper collaboration with key industry stakeholders that will translate the industry engagement into more innovation projects with SIT. Key Responsibilities Lead or co-lead innovation projects with industry. Involve in customer engagements including gathering of systems requirements and writing project scope. Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test documents. Manage laboratories and equipment to support academic programmes and applied research. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Job Requirements A degree in Computer Science or related Engineering discipline. Possessing a master’s degree, PhD degree and relevant certifications will be an added advantage. Experienced in developing machine learning and generative AI solutions for deployment into production. Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras) Strong programming skills in Python/Java/Javascript. Knowledge in LLM, RAG, LangChain would be advantageous. Knowledge of cloud computing and AI deployment (AWS, Google Cloud, Microsoft Azure) would be advantageous. Excellent problem-solving, analytical, and creative thinking skills. Work independently, as well as within a team, to ensure that the project can meet the milestones adhering to the stipulated timeline. At least 2 years working experience in AI/ML software development.