AllOver Central Polytechnic

At the University of Vienna more than 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 11.08.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5620 Explore and teach at the University of Vienna, where over 7,700 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 group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and we use inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/. To learn more about FLEXPART, visit https://www.flexpart.eu/. We seek a highly motivated postdoctoral researcher, who will contribute to the research conducted in our team. While we expect you to work with the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model, or novel applications of the model in research fields that we already cover (e.g., analysis of ice core data; transport of heat, water, greenhouse gases, radionuclides or air pollutants in the atmosphere; inverse modelling; Lagrangian re-analyses; transport climatologies). Your future tasks: Active participation in research, teaching, and administration, which means you will in particular: Contribute to the maintenance and further development of the Lagrangian transport model FLEXPART; Using FLEXPART, you will conduct research on topics that you can select yourself within the general interests of our group; Write and contribute to project applications and the acquisition of third-party funding, and help to manage projects; Provide scientific and technical support to team members, FLEXPART co-developers, PhD and master students; Teach independently within the scope of the provisions of the collective bargaining agreement, including the co-supervision of BSc and MSc theses; Publish your scientific results in peer-reviewed journals; Strengthen the collaborative culture of our team and the Department. You will require: Completed Ph.D. / Doctoral degree in the atmospheric sciences (e.g., meteorology, climatology), or a related field; Strong programming skills; Data analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods or artificial intelligence; A good team spirit and willingness to collaborate; Very good command of the English language. These skills would be an advantage: Experience with Lagrangian transport models; Expert knowledge of programming, preferably in Python and/or Fortran. What we offer: A longer-than-average postdoctoral contract with freedom to choose your specialized research topics: This is a university-funded position that will allow you more freedom than typical project-funded positions. It will give you the chance to shape your research profile and establish yourself as a leading expert in the field. Inspiring and supportive working atmosphere: You will be part of an international team in a healthy and fair working environment with excellent research infrastructure. You will not perform your work in isolation but collaborate with a strong research team. Fair salary plus health care and social benefits: The gross salary of at least EUR 5.014,30 (payable 14 times per year) allows for a comfortable life in a vibrant city with affordable housing prices and quick access to the outdoors. Work-life balance: You have flexible working hours and the option to partly work remotely (within Austria) upon agreement. Training and coaching: We offer you the opportunity to develop your skills on an ongoing basis. Equal opportunities for all: We welcome diverse personalities in our team! The University of Vienna aims to become carbon neutral by 2030: We fully support low-carbon options for travelling. The position is available from 11 August 2026, but a later starting time is possible. The review of applications will begin on 25 June 2026. The search will continue until the decision is made but we aim for a decision as soon as possible after that. We offer an initial contract for three years. This contract can be extended to six years in total by mutual agreement. It is that easy to apply: With a short letter stating your interest in the position, and ideas of what you would like to do with FLEXPART; With your CV including a list of publications; With contact details of two persons who could provide a recommendation upon request; Via our job portal / Apply now - button. If you have any content questions, please contact: Andreas Stohl andreas.stohl@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: 06/24/2026 Post Doc

About the University As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The Role We are seeking a highly motivated and talented Research Fellow to join an exciting industry-funded applied research project within the Infocomm Technology cluster at SIT. This project addresses the critical challenge of enabling ultra-reliable low-latency communications (URLLC) with priority-aware offloading for public safety services. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted computation offloading strategies that leverages edge intelligence. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python application programming interfaces (APIs), through rigorous simulations and proof-of-concept (PoC) trials. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine learning, and who is eager to translate theoretical insights into practical systems. Key Responsibilities Derive and analyse closed-form mathematical expressions for latency and offloading probabilities across edge-only, cloud-only, and edge-cloud computation offloading algorithms. Design and develop robust Python APIs for edge-only, cloud-only, and edge-cloud computation offloading algorithms. Set up network testbeds integrating hardware, software, and communication protocols to validate edge-only, cloud-only, and edge-cloud computation offloading algorithms. Conduct rigorous simulations and live PoC trials to ensure computation offloading algorithms meets URLLC targets for public safety services. Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong publication track record in top-tier conferences and journals in the areas of wireless communications, IoT, or edge computing. Demonstrated proficiency in software API and algorithm development of edge intelligence algorithms using Python. Knowledge of machine learning or reinforcement learning techniques is highly advantageous. Experience with theoretical wireless network modelling, particularly stochastic geometry or queuing theory, is highly advantageous.

Position Overview School: School of Mathematics and Physics Department: Department of Physics Position: Faculty Position in AI for Theoretical and Physics-Informed Modelling [Open Rank] Location: Suzhou, China Job ID: 4367 Contract Type: Fixed-term, renewable. 3rd contract is open-ended ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has over 25,000 enrolled students in both Suzhou and Liverpool in the UK, with plans to grow to about 28,000 students by 2025. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. XJTLU is entering a new and exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently opening a new Entrepreneurial Education site in Taicang, part of wider Suzhou, where the Entrepreneur College (Taicang) is located. The Taicang site will be a pioneer of, and an educational model for, the future campus in addressing challenges arising from the 4th Industrial Revolution. Other new initiatives include new working partnerships with Xi’an Jiaotong University, the continued development of the four new Academies, and the exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities and plays a pivotal role in facilitating access to China for the UK and other institutional partners. At the same time, XJTLU is exploring future education by blending the educational theory, best practices, and culture from the west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT DEPARTMENT OF PHYSICS The Department of Physics is part of the School of Mathematics and Physics (SMP) at Xi’an Jiaotong-Liverpool University (XJTLU). Research in the Department seeks to explore and explain fundamental aspects of the world we live in, from the smallest subatomic particles to the Universe as a whole. Building on its existing strengths, the Department is expanding into application-oriented areas that can drive technological innovation and help address major global challenges. These include AI for Science, quantum technologies, advanced imaging, and materials-related research. The Department contributes to the delivery of undergraduate teaching in physics and mathematics, while also supporting postgraduate research training through its PhD programme. Current research strengths include astrophysics, high-energy physics, condensed matter physics, materials science, medical physics, and theoretical and mathematical physics, together with interdisciplinary research at the interfaces of physics, data science, and technology. The Department of Physics actively encourages interdisciplinary collaboration across department within XJTLU. Beyond the University, the Department benefits from close links with the University of Liverpool and Xi’an Jiaotong University, while also seeking to strengthen partnerships with research institutes and industry in Suzhou and beyond. These collaborations provide access to complementary expertise, facilities, and broader opportunities for research, innovation, and student development. POSITION INTRODUCTION The Department of Physics at Xi’an Jiaotong-Liverpool University (XJTLU) invites applications for a faculty position in AI for Theoretical and Physics-Informed Modelling. We seek a highly motivated and well-qualified candidate with a strong background in theoretical and computational physics, with expertise in physics-based modelling, numerical simulation, and AI-enhanced scientific computing. Research interests may include (but are not limited to) interstellar medium and astrochemical modelling, multiphysics systems, complex physical processes, and data-driven scientific simulation. The successful candidate is expected to play a key role in developing physics-informed artificial intelligence methods that integrate physical laws, numerical solvers, and machine learning, with strong emphasis on interpretability, reliability, and scientific validity. The position will contribute substantially to both high-quality teaching and the long-term development of AI-for-Science education and research at XJTLU. RESPONSIBILITIES Conduct high-quality research and publish in top journals; Actively apply for national and international research funding; Supervise research projects of undergraduate and PhD students; Deliver undergraduate and graduate courses in physics and mathematics in English; Actively participate in departmental and university affairs, and promote interdisciplinary collaboration, particularly with data science and artificial intelligence PERSONAL ATTRIBUTES We are looking for colleagues who: Demonstrate strong commitment to both teaching and research excellence; Communicate effectively in academic and professional settings; Work collaboratively and contribute positively to team development; Show initiative, creativity, and strong problem-solving ability; Adapt flexibly to a dynamic international academic environment; Uphold professionalism, integrity, and a strong work ethic; Are capable of mentoring students in research. Essential Qualifications / Experience All applicants must have: A PhD in Physics, Astronomy, or a closely related discipline; Postdoctoral research experience or equivalent academic experience; Demonstrated ability or strong potential in undergraduate and postgraduate teaching; Solid background in observational, experimental, or data-intensive astrophysics; Fluency in written and spoken English. Desirable Qualifications / Experience Ideal candidates will additionally demonstrate: A strong record of high-quality publications in observational astrophysics, including star formation, spectroscopy line analysis, with computational and AI approaches; Proven experience in proposing for, conducting, and leading observations with world-class astronomical facilities (e.g. ALMA, JWST, or comparable major observatories); International academic experience and collaborative ties with globally leading research institutions; Experience leading or playing a key role in national-level scientific projects; Experience mentoring students to produce high-level research outcomes; Strong potential to secure national or international research funding. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT  Clear career development path with annual review. Professional development trainings are provided. RESEARCH FUNDING SUPPORT The university provides every new faculty member with a Research Development Fund to encourage them to initiate and/or continue research projects. The university will also support all faculty members to apply for national-level, provincial-level and city level programs. These programs aim to support excellent scientists, both Chinese and non-Chinese-citizen, to work and carry out research in China. Several of the programs are listed below. Successful applications are based on the applicant’s educational background, academic/research field, research achievements, working experience, etc. The university will provide full support on the applications. Talent/Research Program Outstanding Youth Science Foundation Project (Overseas) Innovation Leading Talent Outstanding Leading Talent of International Discipline Young Leading Talent of International Discipline Fund RMB 1-3 Million up to RMB 2 Million 50% of Annual Package 50% of Annual Package COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as Housing allowance/Travel allowance/Relocation allowance Etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (11 days) Annual Leave (36 days) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Click the link for the application. Applications must be submitted in a single pdf file that includes, in the order listed below: Cover letter Current CV, including date of birth and country of citizenship Full publication list Research statement (2-5 pages) Teaching statement (1-2 pages) Contract details for three references (2 references for research and 1 reference for teaching) who may be contacted by the recruitment team. For questions or inquiries about the position, please contact Head of Department of Physics, Professor Donghui Quan at Donghui.Quan@xjtlu.edu.cn. For general enquiries, please email HR at Mingwei.Sun@xjtlu.edu.cn. Please quote the position and job ID in your enquiry.