University of Waikato

37 Faculty of Business, Economics and Statistics Startdate: 01.04.2026 | Working hours: 40 | Collective bargaining agreement: §54 VwGr. IVa Limited until: 31.03.2029 Reference no.: 5327 Your personal sphere of influence: As a Data Steward at the Faculty of Business, Economics and Statistics, you will manage the faculty Data Center, support researchers in the sustainable handling of research data and the development of strategies for discipline-specific and cross-disciplinary Research Data Management that complies with the FAIR principles and makes data findable, accessible, interoperable and re-usable. In this shared position between the Faculty of Business, Economics and Statistics and the Research Data Management Team of the University Library, you will inhabit a supporting role at the intersection between research and research infrastructure. Your workplace is located at the Deans’ Office of the Faculty at the Oskar-Morgenstern Platz. Together with the researchers, experts from central research support services (University Library, Central IT, Research Services), as well as Data Stewards from other faculties/centres, you will further develop the Research Data Management at the faculty and University. You can expect a diverse and forward-looking work environment that offers room for personal growth and the unique opportunity to actively shape and further develop this role. The position is limited to a term of 3 years. Your future tasks: Support and advice for researchers and students with regard to data access and processing Managing data access Documenting how data is used by researchers and students Advising and assisting researchers in the areas of research data management and open science, including support in creating data management plans, organizing data, and preparing data for publication in appropriate repositories Designing and developing innovative discipline-specific services in the area of Research Data Management Building awareness for sustainable Research Data Management Developing workflows, policies and standards for Research Data Management Designing and delivering needs-based training on Research Data Management and Open Science Conducting needs assessments among the faculty Networking in university, national and international initiatives Your Profile: Master’s degree or a Diploma in one of the fields of study at the Faculty of Business, Economics and Statistics, Computer Science, Natural Sciences and/or experience in data stewardship Interest or experience in the area of Research Data Management and Open Science Good knowledge of research practice, as well as a broad understanding of how research operates and how data and software underpin reproducible research Experience with designing and delivering training Very good command of written and spoken English Good command of written and spoken German or a willingness to acquire it Willingness to learn Excellent interpersonal and communication skills Creativity and innovative spirit Service orientation, ability to work under pressure and flexibility Independent, accurate and systematic way of working Ability to work in a team What we offer: Work-life balance: You have flexible working hours and can also work remotely, with mutual consent also part-time. Inspiring working atmosphere: You are part of a dedicated team with a diverse university background in a relaxed working environment. Good public transport connections: Your new workplace is easily accessible by public transport. Internal further training: We offer you the opportunity to deepen your skills on an ongoing basis. Fair salary: The basic salary of EUR 3.450,30 increases if we can credit professional experience. Equal opportunities for everyone: We look forward to every additional personality in the team! It’s that easy to apply: With your CV and letter of motivation  Leaving Certificate Via our job portal / Apply now-button If you have any content questions, please contact: Daniela Geppert daniela.geppert@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: 03/11/2026 Research & Teaching Services

Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible working will be considered. Contract type: Permanent Salary: Full time starting salary, if PhD obtained, is normally in the range of £37,897 to £45,580 per annum, with potential progression up to £52,067 per annum; If PhD is close to completion, full time starting salary is normally in the range of £29,363 to £34,332 per annum, with potential progression up to £40,180 per annum Apply by: 22/03/2026 Role Description The Centre for Propulsion Engineering within the Faculty of Engineering and Applied Sciences is looking to expand its internationally renowned activities with the recruitment of a full-time Research Fellow in Icing Science and Experimental Aerothermal Engineering. About the Role Within the Centre, the Icing Team undertakes a wide range of activities, including research in ice adhesion, ice properties, instrumentation, as well as ice protection technologies and the impact of ice on aerodynamic components. In addition, the team works closely with a substantial number of national and international industrial partners in the aerospace and wind turbine sector. A key aspect of the activity is focused on experimental work with dedicated icing wind tunnel facilities, as well as a vertical droplet tunnel. The team also undertakes research in the area of fundamental modelling with molecular dynamic and ice/substrate interface bonding analysis. The main aspects of the Research Fellow role include conducting icing experiments in the Cranfield Icing Wind Tunnel (IWT) facilities and providing support on experimental test campaigns. This will include assisting with tunnel and model instrumentation, data post-processing, analysis and management for experimental projects conducted in the Icing Wind Tunnel. The role will also include the dissemination of research through publication in high-quality journals and leading conferences. The successful candidate will, if possible, develop or adopt numerical simulation models and methods pertinent to icing science and engineering, and develop an individual research strategy and profile in icing science and engineering. About You You will hold a PhD (or close to completion) in aerospace engineering, mechanical engineering, or a related subject, with a record of publishing in high-quality journals. Good skills in engineering, with a focus on aerodynamics, along with experimental testing capabilities, are required for this role. A desire to develop a career in icing science, or experience with icing experience, would be considered beneficial. The ability to communicate clearly at a technical level, and the capability to clearly summarise objectives and achievements for briefing colleagues and project partners, is also essential. Candidates are expected to be confident independent researchers, educated at a PhD level (or close to completion). The successful candidate is also expected to assist with the general programme of work that is conducted in the Centre. Overall, the icing test facilities and industrial relationships are unique within the UK and offer a fantastic opportunity for research and development across a wide range of technology readiness levels. The position is within the Gas Turbine Technology Group within the Centre for Propulsion and Thermal Power Engineering. Due to the nature of this role, you will be required to obtain UK Security Clearance (BPSS). About Us As a specialist postgraduate university, Cranfield’s world-class expertise, large-scale facilities and unrivalled industry partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here. The Centre for Propulsion and Thermal Power Engineering is around 80 staff strong (including visiting academics), and one of the largest research and education activities within the University. The activity spans across land, offshore, marine, air and space power and propulsion applications. Our activity is characterised by a close integration of taught and short-course education and research and includes the internationally recognised Thermal Power and Propulsion MSc course. The activities within the Centre encompass a very wide range of topics, including gas turbine performance modelling, propulsion aerodynamics, icing, combustion, computational fluid dynamics, advanced instrumentation, turbomachinery and thermal management. The Centre is also host to the Rolls-Royce University Technology Centre for Aero System Design, Integration & Performance, testimony of the Centre’s global visibility and extensive links with industry. More details on the Centre for Propulsion and Thermal Power Engineering can be found here, and further details on the icing test facilities are available here. Our Values and Commitments Our shared, stated values help to define who we are and underpin everything we do: Ambition; Impact; Respect; and Community. Find out more here. We aim to create and maintain a culture in which everyone can work and study together and realise their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families. Find out more about our key commitments to Equality, Diversity and Inclusion and Flexible Working here. Working Arrangements Collaborating and connecting are integral to so much of what we do. Our Working Arrangements Framework provides many staff with the opportunity to flexibly combine on-site and remote working, where job roles allow, balancing the needs of our community of staff, students, clients and partners. How to apply                                            For an informal discussion about this opportunity, please contact Professor David MacManus, Professor of Propulsion Aerodynamics & Installations, on (E): d.g.macmanus@cranfield.ac.uk Please do not hesitate to contact us for further details on E: peoplerecruitment@cranfield.ac.uk. Please quote reference number 5232. Closing date for receipt of applications: 22 March 2026

Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant problems, working alongside faculty members and professional officers. The SIT Centre for Intelligent Robotics (CIR) is an applied research centre responsible for developing and maintaining core applied robotics and embodied AI capabilities for real-world deployment. CIR is seeking a Robotics Engineer to implement state-of-the-art learning-based robotic manipulation methods on physical platforms for industry-driven applications, with an emphasis on contact-rich manipulation, robustness, and safe operation. The successful candidate will work closely with physical robots to translate recent advances in learning-based robotics into reliable, deployable systems. Key Responsibilities Implement, adapt, and evaluate state-of-the-art learning-based methods (e.g. imitation learning) for contact-rich robotic manipulation. Integrate hardware and software components into a functional system for real-world deployment. Design and execute field trials (test protocols, data logging, troubleshooting, reliability improvements). Produce technical documentation, reports, and implementation guides to support knowledge transfer and maintainability. Support project procurement activities (e.g., technical specifications, vendor evaluation, quotations) for robotics hardware, sensors, and compute resources. Contribute to publications and technical notes to disseminate research outcomes. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Experience in imitation learning and reinforcement learning for robotics applications. Hands-on familiarity with robotic manipulators and motion planning. Proficiency in deep learning frameworks such as PyTorch or TensorFlow. Experience with ROS / ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation tools such as Gazebo, Isaac Sim, or MuJoCo. At least 2 years of experience in robotics research or industry projects.