University of Bonn

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. 

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. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently seeking a/an University Assistant postdoctoral 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2032 Reference no.: 5682 The position can be filled either as a full-time position (40 hours) or split into two part-time positions (20 hours each). Explore and teach at the University of Vienna, where over 7,500 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 position is based in the newly established "Computer Science Education Group" (CSEG) within the Chair of "Didactics of Computer Science", headed by Mag. Dr.techn. Bernhard Standl, as part of the EDEN research group at the Faculty of Computer Science at the University of Vienna. The research focuses on the empirical investigation of teaching and learning processes in computer science education related to computational concepts and ways of thinking, particularly computational thinking, algorithms and modeling, programming, data and data-driven systems, as well as AI literacy in school and university contexts. A central component is the Computer Science Teaching and Learning Lab. There, computer science education teaching-learning designs are developed, tested, empirically investigated and refined in collaboration with students, teachers and schools. The postdoctoral position is designed as a research-intensive career-building role and offers the opportunity to further develop an independent research profile in computer science education, contribute to the design of externally funded projects and actively help build the research group. Your future tasks: Active participation in research, teaching & administration, which specifically means: You further develop your independent research profile in the field of computer science education and enhance your international academic visibility. You play a central role in the establishment, operational coordination and strategic development of the CSEG. You design, coordinate and lead empirical studies on computer science teaching and learning processes in the Computer Science Teaching and Learning Lab in schools and in university settings related to teacher education. You conduct research on computational thinking, instructional design for teaching and learning fundamental concepts in computer science, algorithms and modeling, programming, data and data-driven systems or AI literacy. You support pre-doctoral candidates as well as bachelor’s and master’s students with research designs, data collection, analysis and publication projects. You publish in internationally recognized journals and play a leading role in the development, submission and coordination of competitive third-party funded projects. You teach in accordance with the provisions of the collective bargaining agreement and perform collaborative and administrative tasks within the research group, particularly with schools, the Center for Teacher Education, universities of education and other partners. You participate in evaluation measures and in quality assurance. This is part of your personality: Completed doctoral/PhD degree in computer science education, computer science or a related field with a clear focus on computer science or computer science teaching and learning processes. A demonstrated interest in computer science education, fundamental concepts of computer science, computational thinking, AI literacy and teacher education. Experience with empirical research methods. Ability to conduct independent academic work and develop a visible research profile. Publication experience or strong potential for international academic publications. Excellent written and spoken English skills, as well as German language skills sufficient for work in school and teacher education contexts or a willingness to develop these skills promptly. Ability to work in a team, strong communication skills, initiative and enthusiasm for building a new research group. Desirable qualifications include: Research experience in one or more of the aforementioned areas. Experience in school-related research or teacher education. Experience with design-based research, intervention studies, videography, interaction analysis, qualitative content analysis, statistical data analysis or comparable methodological approaches. Experience in securing external funding or in collaborating on externally funded projects. Teaching experience in a university setting, as well as experience supervising or co-supervising student theses. Interest in knowledge transfer activities, science communication and collaboration with schools and other stakeholders in the education system. Project management skills and organizational experience. What we offer: Work-life balance: Our employees enjoy flexible 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. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (full-time basis) (14 times a year) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With a list of your publications and teaching experience A cover letter (max. 1 page) including a brief research proposal / research statement (approx. 1–2 pages) A selected academic publication or another relevant writing sample Proof of completion of a doctoral/PhD program If available: Proof of teaching experience, externally funded projects or school-related research activities Via our job portal / Apply now - button If you have any questions, please contact: Bernhard Standl bernhard.standl@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: 06/15/2026 Post Doc

Job Purpose The Research Fellow / Research Engineer (with focus on MedTech / HealthTech Engineering) will support applied research and innovation in community and allied health by translating clinical and operational needs into engineering requirements, prototypes, technical evaluations, deployment support and evidence reports. The role focuses on hands-on medtech / healthtech engineering, project coordination and implementation support for healthcare projects. This role is focused on MedTech / HealthTech Engineering. The candidate should have good project-management discipline and experience coordinating engineering, prototyping, testing or implementation workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical engineering and deployment outputs. Key Responsibilities Applied Research & Development Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, care automation and assistive technologies. Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings. Industry Collaboration Support collaborations with industry and healthcare partners to understand technical problem statements, user requirements, operating constraints and integration needs, and contribute to practical engineering solution development. Assist in project scoping by gathering engineering, technical, integration and validation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners). Participate in industry meetings, discussions, and project engagements. Project Execution & Support Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned medtech / healthtech engineering workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment. Generate technical reports, presentations, design notes, prototype records, test plans, validation summaries, deployment trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications. Contribute to grant proposals and project submissions where required. Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects. Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned engineering, technical documentation and project support tasks. Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation. Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation. Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals. Role-specific skill focus — MedTech / HealthTech Engineering: translate user and clinical needs into engineering requirements; support design, prototyping, testing, validation, integration and deployment; prepare technical documentation and evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate engineering findings into practical recommendations for Professional Officers, faculty, project leads and healthcare partners. Job Requirements Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare innovation related work. Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings. Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous. Possess understanding of healthcare innovation concepts (e.g., medtech / healthtech development, prototyping, care automation, commercialisation, health economics and value capture). Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Experience supporting or coordinating industry or applied research projects, preferably involving medtech / healthtech engineering, biomedical devices, assistive technologies, digital health, care automation, clinical workflow optimisation or healthcare innovation solutions. Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work. Experience supporting project proposals, funded projects or partner engagements will be advantageous. For this MedTech / HealthTech Engineering role, relevant experience in engineering design, prototyping, testing, technical validation, product development, system integration, biomedical devices, assistive technologies, sensors, digital health solutions or equivalent engineering methods is required. All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation. Key Competencies Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors. Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders. Ability to work collaboratively in a cross-functional and multidisciplinary environment. Proactive approach to continuous learning and development in the healthcare innovation field. Proficient in technical writing and presentation. Possess good analytical and critical thinking skills. Shows good initiative and takes ownership of work undertaken. Project management skills, including planning and execution of medtech / healthtech engineering and implementation projects. Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets. Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model. Capability in medtech / healthtech engineering, including requirements translation, prototyping, testing, validation, integration, technical troubleshooting and preparation of concise reports. Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation. Ability to work as part of a coordinated delivery team, with clear documentation of assigned engineering outputs, validation evidence and project outcomes toward the overall KPI commitments.