WU Vienna University of Economics and Business

Department: School of Business Vacancy ID: 042284 Closing Date: 22-Jun-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. The International Research on Energy Systems Integration, Education & Environment for Sustainability and Innovation Center (IRESI), is a research centre housed in the School of Business. IRESI's research focuses on propelling sustainable energy systems into the future by helping individuals, organisations and institutions in the pursuit of a cleaner, greener, and more sustainable energy landscape. We are seeking a motivated, analytical, and detail-oriented Data Analytical Research Assistant to support a multidisciplinary research team working on the Research Ireland–funded RENEW project. The successful candidate will primarily contribute to activities related to data analysis, data management, and the development of the Smart Tariff Comparison Tool. The role will focus on supporting the collection, preparation, analysis, and interpretation of energy-related and consumer datasets to inform the development, testing, and refinement of the Smart Tariff Comparison Tool. Working closely with experienced researchers and technical staff, the successful candidate will contribute to analytical workflows, data processing activities, and evidence generation to support project objectives. This is an excellent opportunity for an early-career researcher or analyst to gain hands-on experience in applied data analytics, energy research, and digital tool development within an interdisciplinary research environment. Salary: Research Assistant Level I (2026): €33,792 – €34,621 p.a. pro-rata (2 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Monday 22nd of June 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

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: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5732 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: As a university assistant prae doc you will complete the research team around Prof. Dr. Christian Koller in civil procedure law. In addition to your independent research, you will contribute to publications and projects, hold independent and supportive courses, supervise students and be involved in organisational activities (conferences, symposia, etc.). The employment durations is 4 years. Initially limited to 1,5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extensions. Your future tasks: You actively participate in research, teaching and administration, which means: You are involved in research projects and publications. You participate in the organisation of conferences and symposia. You work on your dissertation and its completion. We expect you to finalize your dissertation agreement within 12-18 months. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching. This is part of your personality: Completed Diploma in the field of law Very good academic record, excellent knowledge on civil procedure law (presentation of a transcript of records mandatory for applictation) Interest in academic writing Experience in academic writing and with research methods A focus on civil procedural law is desirable Comprehensive knowledge in the conception, organization, and implementation of moot courts, particularly in the field of arbitration law, is desirable High ability to express yourself both orally and in writing Excellent command of written and spoken English Excellent command of written and spoken German IT user skills: MS Office Ability to work in a team Knowledge of university processes and structures preferable 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 part of a young, dedicated team researching and teaching in the field of Austrian and international civil procedure law in a healthy and fair working environment.  Good public transport connection: Your workplace in the center of Vienna is easily accessible by public transport. Internal further training and coaching: Opportunity to deepen your skills on an ongoing basis. Equal opportunities for everyone: We look forward to diverse personalities in our team! Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. It is that easy to apply: With your scientific curriculum vitae With your letter of motivation With your ideas for a prospective doctoral project proposal With your diploma With your transcript of records Via our job portal / Apply now-button If you have any questions, please contact: Christian Koller christian.koller@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: 06/14/2026 Prae Doc

Schemes of Service: Research Division: Professional Officers Employment Type: Fixed Term Research Engineer/Research Fellow in Applied Artificial Intelligence (AI) 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. 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. 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 prod/ucts and implementing AI solutions using ready AI tools to ensure a fast implementation to market. Key Responsibilities Work closely with centre head, Principal Investigator (PI) 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. Work with the team to 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. Strong technical expertise in one or more of the following areas: 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 Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated Applied AI for Healthcare and clinical practice Industry 4.0 and/or Industry 5.0 (added advantage) Experience applying AI 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. Deep technical specialist with 8 or more years of working experience as a Machine Learning Engineer or similar role, with good knowledge of industry practices and technological applications in the field for the senior positions. 1 - 3 years experience will suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark, Devops/MLops. 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. Keen interest to support research and academic project work, with demonstrated ability in developing software solutions to technical problems. 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. Key Competencies Self-motivated and can work independently or in a team. Enjoy both analytical and hands-on work to solve problems. Able to build and maintain good working relationships with people within and external to the university. Flexibility to work across functions/teams as part of a team in a dynamic environment. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess good analytical and critical thinking skills Shows good initiative and takes ownership of work undertaken Proactive, resourceful, and able to take ownership of assigned responsibilities