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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. This role supports the Future Ship and System Design (FSSD) Programme, which aims to accelerate the decarbonisation and digitalisation of Singapore’s maritime sector. The project focuses on developing planning methods to support the electrification of harbour craft fleets, using real-world operational data to derive charging demand profiles and infrastructure recommendations. As part of this work, we are seeking a Research Fellow to lead the development of a user-friendly GUI tool that will enable stakeholders to interact with planning models and visualise simulation outputs. The RF will also support increasing coordination between different projects as the number of case studies and incoming datasets continues to grow. Key Responsibilities: Design and develop a GUI tool to make model inputs/outputs accessible to end-users Collaborate with project leads and researchers to ensure technical accuracy of the interface Support integration of simulation outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in stakeholder engagements and respond to evolving technical needs Job Requirements: A strong background in power systems, energy modelling, or grid optimisation Proficiency in GUI development (e.g. using Python Dash, Tkinter, or web-based frameworks) Experience working with data-driven simulation and model validation in power grids (Ph.D level is mandatory) Ability to work independently and collaboratively in a fast-paced, multi-stakeholder environment Prior exposure to maritime or transport-related electrification studies is a plus

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 University assistant predoctoral 34 Faculty of Law Startdate: 14.09.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.07.2027 Reference no.: 5873 More than 7,500 academics at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Your new working environment: At the Institute for Civil Law (Univ.-Prof. Dr. Gabriel Kogler) a position as a university assistent (prae doc) is to be filled as soon as possible for the duration of an employee's absence. The scope of employment is 30 hours/week. Interested Persons with a completed degree, above-average academic success, particularly in civil law and private law minor subjects, as well as an interest in basic dogmatic research in Austrian and European civil law are invited to apply. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of Civil Law. You work on your dissertation. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed Master's degree or Diploma, in the field of Law Above-average academic success, especially good knowledge of Austrian Civil Law Basic experience in academic writing and with research methods are beneficial Didactic competences / experience with e-learning IT user skills German proficiency at least at level C1 Excellent command of written and spoken English You should be a team player with high social skills What we offer: 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 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: With your letter of application With your scientific curriculum vitae / letter of intent With your summary of research interests / ideas for a prospective doctoral project proposal (if available) Master Degree / Diploma Degree certificates Via our job portal/ Apply now - button If you have any questions, please contact: Univ.-Ass. Mag. Angel Grabowski or Isabella Pichler, MA (organizational assistant) angel.elisa.grabowski@univie.ac.at or isabella.pichler@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: 07/15/2026 (MM-DD-YYYY) Prae Doc https://jobs.univie.ac.at/job-invite/5873

Ref.: 536727 Work type: Full-time Department: Department of Pathology, School of Clinical Medicine (21200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (several posts) (Ref.: 536727), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Computer Science, Mathematics, Statistics, computational biology, related disciplines or equivalent. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train deep learning models with state-of-the-art algorithms based on histology whole slide images. They may also contribute to research of integration of multimodality data with clinical, radiological images and genomics data. Enquiries about the duties of the post should be sent to Dr. Maximus Yeung at mcfyeung@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until Sept 30, 2026, or until the posts are filled, whichever is earlier. Applications close:Sep 30, 2026 (HK Time)