Piri Reis University

Within the Science, Engineering and Technology Group of KU Leuven, the Department of Mechanical Engineering invites applications for a professorship in Mechanical Engineering. We are seeking internationally oriented candidates with an excellent research track record and strong teaching competence in numerical modelling, plasma physics, nuclear fusion, and nuclear technology. We further expect teaching competences in underlying scientific disciplines such as fluid mechanics, heat transfer, and thermodynamics. Junior profiles will be appointed as tenure track assistant professor, with an evaluation after 5 years. Senior candidates may be appointed at the level of associate professor, professor, or full professor, depending on their qualifications and academic experience. As a member of the senior academic staff of the Science, Engineering & Technology Group of KU Leuven's Arenberg Campus, you will be affiliated with both the Department of Mechanical Engineering and the Faculty of Engineering Science. Unit website Research The candidate aims to develop and apply new insights into nuclear fusion technology with a focus on advancing 2D and 3D simulation methodologies for plasma transport, heat transfer and particle exhaust in the reactor, potentially including interactions with the broader system, and other relevant mechanisms for future fusion power plants. Combining these advanced simulation techniques with design optimisation, control, data-assimilation, uncertainty quantification, and multi-fidelity approaches is encouraged. The candidate is expected to collaborate with international fusion initiatives, considering various concepts such as tokamaks, stellarators, and inertial confinement. In addition, the candidate takes a leading role in further developing the SOLPS-ITER community code (formerly B2/EIRENE), for which KU Leuven is a core developer. The candidate will be based in Leuven at campus Arenberg in the current fusion team that has strong existing ties and collaborations with major international fusion initiatives. The candidate is expected to pursue excellence, build national and international collaborations and publish at the highest scientific level in your field. By securing competitive funding for fundamental and/or applied research, the candidate should be able to establish a research group in close collaboration with stakeholders in the wider region and supervise PhD candidates at an international level. Teaching The candidate is expected to take on a teaching role in programmes such as BSc in Engineering Science, MSc in Mechanical Engineering, MSc in Engineering: Energy, or the Belgian Nuclear higher Education Network. The candidate should be able to teach courses in disciplines such as fluid dynamics, heat transfer, thermodynamics, and computational fluid dynamics, in addition to more advanced topics. The candidate will build a research team (PhD researchers, postdoctoral fellows) that can support teaching within these disciplines. Furthermore, the candidate is expected to conduct cutting-edge research that enables the definition and supervision of related BSc/MSc student projects and research topics in energy or nuclear engineering. You will develop your teaching in line with KU Leuven’s vision on activating and researched-based education, making full use of the professional development opportunities offered by the faculty and the university. Initially, your teaching duties will focus on a limited number of courses within the aforementioned Master's programmes. Over the course of your career, the scope of your educational activities may gradually expand, while always maintaining a balanced distribution of time between research and teaching. Service You are prepared to undertake scientific, societal and internal service activities. You actively seek regional, national, and international opportunities for collaboration with organisations, industry partners and other stakeholders beyond the university. You represent the Science, Engineering & Technology Group of KU Leuven, as well as your department, faculty and research group in external activities and serve as a primary point of contact between the university and its regional partners. You also engage actively in outreach initiatives, including science communication, lifelong learning, and societal debates. Requirements You hold a PhD in Engineering or Science with a focus on numerical simulation of fluid and plasma flows, or nuclear fusion devices. You have a strong research profile, demonstrated by publications in leading international journals. International experience is a significant asset. You present a research plan that articulates a strong vision for future nuclear fusion research within the broader scope of this position. You also have a clear vision of how your activities will enhance KU Leuven's regional, national and international recognition, including concrete plans for collaboration with relevant partners both within and beyond the university. You have demonstrable qualifications in academic education, and a well-defined personal vision on academic teaching and educational organisation. Teaching experience is considered an asset. You possess strong organisational skills, a collaborative mindset and leadership capacities suited to a university environment. A good command of English is required, and KU Leuven provides training in academic English. The official administrative language at KU Leuven is Dutch. If you do not speak Dutch (or not sufficient) at the start of your appointment, KU Leuven will offer language training to enable you to participate effectively in meetings. Before teaching courses in Dutch, you will have the opportunity to acquire the necessary level of proficiency. Offer We offer a full-time position in a multidisciplinary and intellectually stimulating environment. KU Leuven is a research-intensive, internationally oriented university engaged in both fundamental and applied scientific research. The university has a strong inter- and multi-disciplinarily focus and strives for international excellence. In this context, we collaborate actively with research partners in Belgium and abroad and provide our students with an academic education grounded in high-quality scientific research. All duties associated to this position are primarily based at KU Leuven's Arenberg Campus, and require an active on-site presence. Depending on your record and qualifications, you will be appointed or tenured in one of the ranks of the senior academic staff: assistant professor, associate professor, professor or full professor. In principle, junior researchers are appointed as tenure-track assistant professors for a period of 5 years; after this period and following a positive evaluation, they are permanently appointed (or tenured) as associate professors. The position starts on September 1, 2027. Call Research professorships (BOFZAP) Procedure application and selection Interested? Before you start your application, please read the full description of the procedure and important information about attachments and templates under 'Call for Research Professorships (BOFZAP)' and 'Procedure application and selection’ under 'More information'. More information on the content of the job can be obtained from the academic contact person Prof. dr. Johan Meyers, mail: johan.meyers@kuleuven.be or Prof. dr. ir. Herman Bruyninckx, mail: herman.bruyninckx@kuleuven.be. More information on the guidelines, regulations and application file is available from Ms. Kristin Vermeylen (kristin.vermeylen@kuleuven.be) or Ms. Martine van Nierop (martine.vannierop@kuleuven.be , tel. +32 16 32 76 98). You can apply for this job no later than September 01, 2026 via the online application tool KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address. Do you have a question about the online application system? Please consult our FAQ or email us at apply@kuleuven.be

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 seeking a/an University assistant predoctoral 51 Faculty of Physics Startdate: 01.09.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2029 Reference no.: 5842 Are you interested in fundamental questions in theoretical physics and in the mathematical structures underlying General Relativity & Cosmology? The Gravitational Physics Group at the Faculty of Physics of the University of Vienna invites applications for a PhD position in theoretical and mathematical gravitational physics. The doctoral project will focus on modern aspects of mathematical and numerical cosmology. The precise focus will be defined during the initial phase of the appointment in accordance with the aims of the position and the background of the successful candidate. Your personal sphere of influence: As a university assistant predoctoral, you will join the Gravitational Physics Group at the Faculty of Physics. The position is intended for a doctoral project in theoretical and mathematical gravitational physics, broadly within the area of mathematical and numerical cosmology. Possible research directions include mathematical and numerical aspects of structure formation in cosmology. The concrete doctoral project will take into account the previous expertise, interests and strengths of the successful candidate. The group offers a research environment for candidates who are interested in fundamental questions and who want to develop a strong and independent profile in theoretical physics. You will also benefit from the broader research environment of the Faculty of Physics and the Vienna Doctoral School in Physics, which connects PhD students across all areas of physics. Your future tasks: You actively participate in research, teaching & administration, which means:  You will work on a doctoral project in theoretical and mathematical gravitational physics, broadly connected to mathematical and numerical cosmology. 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, with a high level of independence. You will contribute to teaching (mainly exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for research, teaching and administration. You will actively participate in seminars, group meetings, and other activities of the group. You will continuously stay informed about the state of the art in your field. You contribute to outreach by publications, conference presentations and public activities. This is part of your personality: You have completed a Master’s degree or Diploma in physics, mathematical physics or a closely related field. Your Master’s thesis was in theoretical physics, mathematical physics or cosmology. You have a profound background in theoretical physics and mathematics. You have excellent grades in advanced theoretical and mathematical courses during your studies. You have a solid working knowledge of matter models in general realtivity, in particular Vlasov matter, and you are willing to deepen your expertise in the mathematical and numerical methods relevant for the dissertation project. You are able to read and work with advanced research literature independently. You have experience in scientific writing, for example through a Master’s thesis or comparable written research work. You have an excellent command of written and spoken English. You are motivated to work independently while also contributing constructively to a research group. Previous knowledge of the following area is desirable: theoretical cosmology. 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 2,832.08 for 30 hours/week, 14x p.a., increases if we can credit professional experience. The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae With a letter of motivation explaining your previous academic and research achievements, your research interests and your fit for the advertised research area With your Bachelor’s and Master’s degree certificates, or current confirmation that the Master’s degree will be completed before the starting date With transcripts of records from your Bachelor’s and Master’s studies With your Master’s thesis, or, if it is not yet completed, a draft, extended abstract or summary of the thesis project Via our job portal / Apply now -  button (https://careers.univie.ac.at/en/, reference number 5842) Applicants should arrange a letter of reference sent to theor-physik@univie.ac.at before the deadline. If you have any questions, please contact: David Fajman david.fajman@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: 07/27/2026 Prae Doc

Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term About the Project The SIT x NVIDIA AI Centre (SNAIC) at the Singapore Institute of Technology (SIT) is seeking a highly motivated Research Fellow/Engineer to join a strategic collaboration with Procter & Gamble (P&G). This project aims to develop next-generation AI technologies for concept-driven video understanding from consumer-recorded facial care videos. Unlike conventional action recognition, the research focuses on understanding high-level semantic concepts, behavioural patterns, product usage, and skincare routines through advanced Vision AI, Multimodal AI, and Foundation Models. The successful candidate will work closely with researchers from SNAIC, NVIDIA, and P&G to develop novel AI methodologies with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel algorithms for: Fine-grained video understanding Concept learning Temporal reasoning Vision-Language Models (VLMs) Multimodal representation learning Self-supervised and weakly supervised learning Fine-tune and adapt Foundation Models and Vision-Language Models for domain-specific applications. Build end-to-end AI pipelines for video analytics and deployment. Work with industrial datasets and collaborate with domain experts from P&G. Publish research findings in top-tier AI conferences and journals. Mentor graduate students and support research activities within SNAIC. Required Qualifications Applicants should possess: PhD/Ms/BSc in Computer Science, Artificial Intelligence, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in Python. Hands-on experience with: PyTorch Hugging Face Transformers OpenCV Experience working with deep learning models for image or video analysis.