Higher Colleges of Technology

Purpose SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners. IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or products and implementing AI solutions using ready AI tools to ensure a fast implementation to market. The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community.  SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy.  The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research.  The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum.  SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as:  Advanced Manufacturing & Semiconductors  Urban Systems  AI-Augmented Engineering  AI Safety & Security  Chemical Engineering & Biotechnology  Hospitality and Tourism  Healthcare  Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. Key Responsibilities Lead or co-lead innovation projects with industry which includes SMEs, MNCs, government agencies. Work closely with centre head and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes.  Outcomes include impact or revenue of industry partners Understand industry partners requirements and help create proposals to them. Create IP (Intellectual Property) from internal grants to target multiple adopters Job Requirements A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application.  A minimum of 8 years working experience in industry. Strong technical expertise in one or more of the following areas:  Usage of AI tools or software to solve industry problems or enhance industry operations Computer Vision and Image Processing  Machine Learning, Deep Learning, and Reinforcement Learning  Large Language Models (LLMs) and Multimodal Models  Generative AI, Agentic AI, Physical AI, and Embodied AI  Trustworthy AI, including explainability, auditability, and privacy  Edge AI and model optimisation  Time-series modelling and anomaly detection  Digital twins and simulation  Demonstrated Applied AI for Healthcare and clinical practice  Industry 4.0 and/or Industry 5.0 (added advantage) Experience utilizing AI tools to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.  Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. 

Assistant Professor / Associate Professor / Professor in Aerospace MRO (Smart Maintenance & Repair Systems) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience. SIT is strengthening its capabilities in Aerospace Maintenance, Repair and Overhaul (MRO), building a cohort of faculty who are experienced in solving real-world aerospace maintenance challenges through applied research and innovation. Focus areas for Aerospace MRO include: Smart Maintenance & Predictive Diagnostics Digital Twins & Lifecycle Engineering Robotics & Autonomous Inspection Systems Composite Structures Inspection & Repair Advanced Repair Technologies (e.g. Additive Manufacturing) Responsibilities: Lead and contribute to applied research projects with industry partners and government agencies in Aerospace MRO Develop and teach Aerospace MRO-related modules within SIT’s Aircraft Systems Engineering (ASE) and interdisciplinary programmes Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners Contribute to SIT’s continuing education and workforce upskilling programmes (CET/CSM) Drive translational research outcomes, including deployment of solutions in operational MRO environments Serve as a technical mentor across disciplines (AI, robotics, materials), enabling cross-domain integration for smart MRO systems Qualifications: PhD in Aerospace Engineering, Mechanical Engineering or a closely related discipline Strong track record in Aerospace MRO, aerospace systems, or related applied research/industry practice Technical expertise and deep knowledge of one or more of the following areas: Predictive Maintenance & Prognostics (PHM) Structural Health Monitoring (SHM) and NDT/NDI Digital Twins and physics-informed modelling Aerospace robotics and autonomous inspection systems Composite materials, damage detection, and repair Additive manufacturing for aerospace repair (flight-certified applications) Aircraft systems, gas turbine maintenance, or MRO best practices Circular economy and sustainable aerospace maintenance Experience Applying Expertise to one or more of the Following: Commercial or military Aerospace MRO operations Smart hangar / digital MRO transformation initiatives AI-enabled inspection and diagnostics systems Robotics deployment in maintenance environments Lifecycle management of composite aircraft structures Industry-scale maintenance optimisation and downtime reduction Demonstrated leadership and evidence of working on industry/society-defined problems Experience with industry research collaborations, applied research grants, and/or system deployment Established thought leadership and/or professional standing e.g. publications in top journals and keynotes, in addition to non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems Demonstrated track record of cross-disciplinary collaborations Ability to communicate clearly with domain experts, industry practitioners and general public What SIT offers: An applied research environment, working together with industry partners, to tackle real-world problems SIT values applied research impact and evaluates faculty accordingly on how their research had made a difference to society or industry Opportunities to work on a coherent applied AI research agenda with colleagues across disciplines Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds for applied research A meaningful role in building Singapore’s applied Aerospace MRO research capability at a pivotal moment Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub How to apply: Candidates should submit the following: Curriculum vitae including grants, publications, patents, and deployed systems Cover Letter Research statement (up to 2 pages) outlining your Aerospace MRO research programme and industry relevance Teaching statement (up to 1 page) on applied learning approach Three key research outputs with impact description

At the University of Vienna, more than 10,000 people work together towards answering the big questions of the future. Around 7,500 of them are scientists who, with their curiosity and continuous demand for excellence, conduct top-level international research and teaching. Are you also looking for the right space to develop your potential? We are seeking a/an University assistant predoctoral (Faculty of Law) 34 Faculty of Law Startdate: 03.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5257 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 scientifically successful. Does that sound like something for you? Welcome to our team! What you can expect: The team of Prof. Sabine Kirchmayr-Schliesselberger is seeking a pre-doctoral university assistant (prae doc) starting in August 2026 to support teaching and research in the field of tax law, with a particular interest in issues relating to tax law. The announcement is made for four years, whereby the employment relationship is initially limited to 1.5 years and is automatically extended to a total of four years, unless the employer submits a declaration of non-renewal after a maximum of 12 months. Your future tasks: You actively participate in research, teaching & administration, which means: We expect you to finalize your dissertation agreement within 12-18 months. You participate in publications / academic articles. You are involved in research projects and scientific studies .  Yor are involved in the organisation of conferences, meetings, symposiums. You apply for projects and raise (external) funds. Independent teaching of courses defined by the collective agreement You supervize students. You participate in evaluation activities and in quality assurance You take on administrative tasks in research, teaching and administration. This is part of your personality: Master’s degree in law or an equivalent qualification completed  Professional competence: Knowledge of especially Austrian tax law  Methodological competencies: Jurisprudential methods  Knowledge of principles of teaching  High ability to express yourself both orally and in writing Excellent command of written and spoken German High command of written and spoken English  IT user skills  Ability to work in team  What we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement). 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 in the center of beautiful Vienna 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 EUR 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: Letter of motivation Academic curriculum vitae  List of publications, evidence of teaching experience (if available) Short doctoral project proposal Degree certificates Via our job portal/ Apply now - button If you have any questions, please contact: [[Yvonne Egger]] [[yvonne.egger@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: 06/21/2026  Prae Doc https://jobs.univie.ac.at/job-invite/5257