University of Trieste

Job Purpose The Research Engineer/ Research Fellow for Design Factory will play a pivotal role in identifying opportunities and problems that others choose to ignore and solve it with innovative and ingenious solutions that defy convention using proven technologies and innovations. Collaborating closely with faculty, industry partners, researchers, and students, the Research Engineer/ Research Fellow will co-create impactful, practical, and commercially viable products that bridge the gap between technologies and customers, encompassing environmental, social, and economic dimensions. Key Responsibilities Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon reduction technologies. Explore emerging technologies, frameworks, and practices to advance product solutions in industries. Conduct product family Innovation Quadrant (IQ) analysis and resource optimization studies to address business challenges. Industry Engagement Collaborate with industry partners to co-create innovative products that enhance their portfolio and align with strategic business goals. Identify emerging trends and opportunities in Product Innovation to position SIT as a key partner in Design Thinking, New Product Development and Product innovation. Foster partnerships with businesses, government agencies, and other stakeholders to develop impactful projects that enhance environmental, social, and economic outcomes. Technical professionals who will work with local enterprises to frame projects, identify capabilities needed from the industry ecosystem, IHLs and centres. Involve in industry engagements, help to bring in higher value-added projects for the centres in SIT, Polytechnics and ITE. Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon reduction technologies. Explore emerging technologies, frameworks, and practices to advance product solutions in industries. Conduct product family Innovation Quadrant (IQ) analysis and resource optimization studies to address business challenges. Industry Engagement Collaborate with industry partners to co-create innovative products that enhance their portfolio and align with strategic business goals. Identify emerging trends and opportunities in Product Innovation to position SIT as a key partner in Design Thinking, New Product Development and Product innovation. Foster partnerships with businesses, government agencies, and other stakeholders to develop impactful projects that enhance environmental, social, and economic outcomes. Technical professionals who will work with local enterprises to frame projects, identify capabilities needed from the industry ecosystem, IHLs and centres. Involve in industry engagements, help to bring in higher value-added projects for the centres in SIT, Polytechnics and ITE. Job Requirements A degree in Engineering or a related field. At least 5 years of relevant industry experience with a proven track record in production innovation and New Product Development. Deliver high-quality and professional ethics with passion for business development and managing customer relationships. Strong business acumen, project management experience and results-oriented with a strategic mindset. Strong negotiation and interpersonal skills and able to adapt in a fast-paced business environment. Good experience in Product Management: Develop and implement strategies for integrating sustainability and energy efficiency into the product lifecycle, from conception to market launch. Strong analytical, project management, and communication skills. Experience in writing project proposals and grants will be an added advantage. Extensive experience and knowledge of industry practices to bring industry perspective to SIT. Keen interest in innovation projects, with demonstrated ability in developing solutions to technical problems. Strong supervisory skills and enjoy working closely with students in an educational environment. Demonstrate proficiency to keep abreast of development in the field and pursue professional certification programs. Possess industrial certifications in relevant areas will be an added advantage.

Novel Fibre Reinforced Polymer–Steel–Concrete Transition Structures for Offshore Wind Turbines (FRESCO) is a new research project funded by the Supergen Offshore Renewable Energy Hub. It aims to develop a novel glass fibre-reinforced polymer (GFRP)–steel–concrete tower-to-monopile transition structure for offshore wind turbines, with a focus on improving structural efficiency, durability, and ease of installation. Your work will include the development of advanced numerical models of the transition system, alongside the testing of a scaled prototype structure to demonstrate proof of concept. You will lead the technical activities related to modelling and experimental testing, including the design of test programmes and interpretation of results. The role will also involve analysing and synthesising findings, contributing to design recommendations, and disseminating outcomes through publications and engagement with relevant industry stakeholders and events.You are invited to contact Dr Sheida Afshan (s.afshan@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants should hold a PhD in Structural Engineering or equivalent professional qualifications and experience with previous relevant experience in computational modelling and experimental testing. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. 

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 Assitant (praedoc) - Completion Contract 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.08.2026 Reference no.: 5544 Among the many good reasons to want 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 their continuous striving and curiosity in order to be able to be 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 personal sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors and co-supervisors who pursue basic as well as applied research within an intensive doctoral teaching programme tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions to doctoral students who previously had a position as university assistant (prae doc) or as third-party funded researcher (prae doc) at the University of Vienna. This completion contract is meant to support a high-qualified DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science. The group’s research focuses on data mining - particularly clustering and representation learning - graph mining, and probabilistic machine learning. We place great emphasis on a relaxed, collaborative environment and a collegial atmosphere. Social interaction is a top priority for us and contributes to active scientific dialogue and a positive work environment. Learn more about us at https://dm.cs.univie.ac.at/ Your future tasks: You will actively participate in research, teaching, and administration. This includes, among other things: Your primary responsibility is to complete and submit your dissertation. You will develop new methods in data mining and machine learning, particularly in the areas of clustering representation learning graph mining anomaly detection You will contribute to research projects and scientific studies in the above-mentioned areas. You will independently teach courses in accordance with the provisions of the collective bargaining agreement or assist in doing so. You will publish internationally and give presentations. You will contribute to the organization of meetings, conferences, and symposia. You will participate in faculty, teaching, and research administration.  This is part of your personality: Required Qualifications: You hold a degree in Computer Science or Computer Engineering (Diplom, Master’s, or Magister degree), and a solid foundation in computer science is required. You are currently enrolled in a doctoral program (Computer Science or Business Informatics) at the University of Vienna and are a member of the Doctoral School of Computer Science. You have demonstrated outstanding academic performance (e.g., FÖP within one year, annual submission of progress reports, exceptional publication record). You possess a high degree of motivation and commitment to successfully complete your doctoral studies within the intended timeframe. You have proven expertise in one or more of the following areas: Clustering Representation Learning Graph Mining Anomaly Detection You possess teaching skills and experience with e-learning. You have excellent written and spoken English skills (at least C1 level). (The language of communication within the team is English!) Desirable qualifications: You have publications in leading journals in the field, e.g., ICCV, KDD, ICDM, WWW You are a team player with strong social and communication skills. You work independently and reliably. You have knowledge of university processes and structures. You have international experience You have teaching experience 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 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: Resume Cover letter outlining your ideas for a potential doctoral project Abstract of your master’s thesis Degree certificates and transcripts with grades from your bachelor’s and master’s programs List of publications, proof of teaching experience (if applicable) If you have any questions, please contact: Claudia Plant claudia.plant@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: 04/25/2026 Prae Doc