Hamburg University of Technology

Department: Library Vacancy ID: 041523 Closing Date: 24-May-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. Maynooth University Library, in partnership with the Heritage Council, is pleased to offer its first 12‑month co‑funded Conservation Internship. This exciting opportunity is aimed at recent graduates in Conservation and will combine hands‑on laboratory practice with research‑based work. The intern will join the Special Collections and Archives team, working under the supervision of an accredited conservator. The role will involve the practical conservation treatment of a wide range of materials, support for exhibitions and tours, and contributions to digitisation workflows. The intern will also be encouraged to present and share their work with wider professional and public audiences. Salary: Library Assistant: €31,066 – €50,025 p.a. (16 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, the 24th of May 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

AMIC - A £100M investment through the Belfast Region City Deal - is a collaborative, innovative powerhouse of advanced manufacturing set to elevate our region globally. We are supporting economic growth and prosperity for Northern Ireland by creating high quality jobs and increasing inward investment through high value manufacturing innovation clusters. We are driving industrial transformation, paving the way for future technologies and competing globally with a more sustainable focus. When you join our team, you will have access to the latest advanced industrial technologies and have the opportunity to grow and develop as an engineer and technology leader. Our mission is to provide you with the environment to innovate and create impact. Our team of experienced staff has core capabilities in digitalising manufacturing, smart design, sustainable polymers & composites and nanotechnologies & photonics. We are excited to be expanding the team throughout 2026 and beyond. We are seeking to recruit a digitalisation project engineer who wants to develop and support innovation through applying their knowledge to the challenges of industry and society. Successful candidates will apply their knowledge and experience of methods and processes to support AMIC's advanced manufacturing activities, developing and implementing methods and processes to meet industry need, fuelling a pipeline of innovation activity for AMIC's state-of the-art "Factory of the Future" facility, and contributing to solving wider societal challenges. In conjunction with senior engineering colleagues, you will work collaboratively with academia, technology providers, national technology centres, and industry to deliver key projects focused on Advanced Manufacturing activities. You will help monitor, develop and implement best practices in the application of your engineering discipline within advanced manufacturing, including software, hardware and delivery. About The Person The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Honours degree or equivalent in a relevant engineering, science, or related discipline OR minimum HND in a similar discipline with recent significant and relevant industrial experience. Recent experience in at least one of the following: Embedded/Edge/Sensor devices/technology * Cyber security * Virtualisation/Infrastructure/Networking * AI – experience must be applicable to manufacturing use cases * Manufacturing Software Systems * Digital Twin Technologies * Cloud technologies – particularly in relation to cloud based databases, data analytics, data visualisation. * Relevant experience in the Manufacturing Domain * * can be demonstrated with industry experience or relevant projects. Experience of using research/industrial tools and techniques resulting in high quality projects and technical reports. Demonstrable evidence of delivering projects to agreed deadlines and within budget. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.

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 Senior Lecturer - Digitalization 37 Faculty of Business, Economics and Statistics Startdate: 01.10.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.09.2030 Reference no.: 5638 In case of positive evaluation at the end of the fixed-term period of 4 years, the position will be changed to a permanet position. Do you enjoy working with young people, are you curious, and do you want to pass on your knowledge?  As a Senior Lecturer, you play a crucial role in educating students. In addition to providing a solid academic education, we also place a special emphasis on the personal development of students. We support students in developing curiosity and critical thinking, thereby creating a solid foundation for the professional challenges of the next generation. We are looking for a committed and experienced scholar who would like to take on a central role within our academic community. Your workplace: As a Senior Lecturer, you will primarily teach in the area of digitalization. You will play a key role in introducing students to the fundamentals of digitalization in (International) Business Administration. This includes programming and analytics courses, for example in the fields of Business Analytics, the use of Artificial Intelligence, and relevant software and programming tools for applications in economics and business studies. Your teaching portfolio will also include the critical application of analytics and AI methods in business research, particularly in seminar papers, bachelor’s theses, and master’s theses. The full-time position (40 hours/week) includes a teaching load of an average of 14 semester hours per week of academic teaching. This comprises both large and small course formats covering the above-mentioned foundational topics of digitalization in economics and business studies, AI competency courses for the preparation of academic work, the teaching of bachelor seminars, and the supervision of master’s theses (in accordance with the statutes of the University of Vienna). Close integration with the introductory and advanced digitalization modules of the degree programmes in Business Administration, International Business Administration, and Economics is intended. Your future tasks: You will independently teach courses, primarily at the bachelor’s level, but also at the master’s level. You will actively contribute to the (further) development of teaching and examination formats in the field of digitalization for (International) Business Administration. Continuous engagement with the current state of technology and research, as well as ongoing didactic training during lecture-free periods, is expected. In addition, the role includes administrative responsibilities, particularly in the administration and coordination of teaching. What we expect: Completed doctoral degree in economics/business studies or in computer science, applied mathematics, or statistics with a focus on economics/business studies Several years of independent teaching experience at a post-secondary educational institution Enthusiasm for sharing knowledge and for university-level teaching Excellent command of English Experience supervising academic theses and projects, particularly regarding the use of AI What we offer: Inspiring working atmosphere: You are a part of an international academic team with excellent research infrastructure, dedicated colleagues and students who want to learn from you. 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 5.014,30 (on a fulltime basis) 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: CV and certificates Course evaluation results Letter of motivation (maximum 2 pages) A didactic teaching concept (maximum 2 pages) List of courses taught and supervised theses Publication list and list of any completed research projects or contributions to research projects Please apply via our job portal using the “Apply Now” button. If you have any questions, please contact: Karl Franz Dörner karl.doerner@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: 05/17/2026 (Senior) Lecturer & Researcher