Hochschule Fresenius Idstein

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

Role type: Full-time; Continuing Faculty: Science Department/School: School of Mathematics and Statistics Salary: Level of appointment is subject to qualification and experience Level B: AUD $124,656 - $148,023 p.a. Level C: AUD $ 152,695 - $176,065 p.a. plus 17% super(retirement savings system/pension scheme) Lead innovative teaching and research in mathematics or statistics education. Apply now to contribute nationally and internationally to maths education excellence. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. This role is within the School of Mathematics and Statistics, where you will make significant contributions to education within the school. This includes affiliation with the Mathematics and Statistics Learning Centre (MSLC), and the MSLC's programme of academic and administrative leadership and support for learning and teaching. Your next career opportunity The School of Mathematics and Statistics is seeking to expand its expertise in mathematics and/or statistics education, with an appointment at Level B or C depending on your experience. You will contribute to and lead an innovative academic program of teaching, along with research in mathematics education. You also will contribute to the national and international community through the conduct of research in mathematics education, or scholarship of learning and teaching in mathematics. There may also be opportunities for the candidate to conduct other discipline-related research. Your responsibilities will include: Develop and Deliver Innovative Teaching: Create and teach engaging undergraduate subjects, coordinate large courses, and develop cutting-edge learning materials. Lead Educational Innovation: Spearhead school-level initiatives in mathematics and statistics education, contributing to curriculum development and teaching practices. Conduct Impactful Research: Pursue a program of research or scholarship in mathematics education, disseminating findings through publications and presentations. Provide Academic Leadership: Contribute to the Mathematics and Statistics Learning Centre's services, mentor students and staff, and participate in school planning and outreach activities. You may be a great fit if: You are an experienced educator and researcher with a PhD in mathematics, statistics, or a related field, demonstrating excellence in teaching and curriculum development, with a growing national or international reputation in mathematics education or the scholarship of teaching and learning. You may also: Have a proven track record of excellence in teaching mathematics or statistics at the undergraduate level. Demonstrate contributions to mathematics education research or scholarship of teaching and learning. Possess strong organisational and communication skills, with the ability to meet deadlines and work independently. Have experience coordinating large undergraduate subjects and leading educational innovation. Show familiarity with educational technology and the Australian secondary school mathematics curriculum. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! Your new team - "School of Mathematics and Statistics" The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students. The School has had 10 staff members inducted as Fellows of the Academy of Science. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities. The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods.To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au.You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne. For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring If you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au. Working at the University - what you need to know This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures. Please note: Visa sponsorship is available for this position. Join Us and unlock your career potential! Is this the perfect opportunity for you? Apply today! Including the following documents: Resume Cover Letter outlining your interest and experience The responses against the Selection Criteria^ (found in the Position Description) ^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address. If you have any particular questions regarding the job please follow the details listed on the Position Description. Applications close: 23 March 2026 at 11:55 PM / Melbourne time zone. Position Description:JR-008985 Lecturer or Senior Lecturer in Mathematics Education_PD.pdf

Classification: ANU Officer 8 (Information Technology) Salary package: $121,359 - $129,772 per annum plus 17% superannuation Terms: Full-time, Continuing (contingent funded) Position Description and Selection Criteria: Research Environment Specialist.pdf This position is continuing (contingent funded). The funding that supports this project has an expected end date of 30 June 2028. This role gives you hands-on access to Australia’s national supercomputing infrastructure—including world-class HPC clusters, large-scale GPU systems, cloud platforms, and high-performance file systems. You’ll support cutting-edge research in climate, weather, geoscience, water, bioinformatics, and astronomy, helping these communities leverage next-generation technologies such as AI/ML, GPU acceleration, high-performance workflows, and large-scale data analytics. You will design, build, and optimise software environments used daily by thousands of researchers across universities and national research initiatives. Your expertise will directly enable scientific breakthroughs, contribute to national capability, and support high-impact research communities across the nation. As part of the Software & Data Modernisation team, you will join a supportive, highly skilled, and diverse group that values innovation, teamwork, and continuous learning. Working within ANU provides excellent professional development opportunities, strong work–life balance and the chance to engage with leading researchers in Australia and internationally. The Position The Research Environment Specialist plays a key role in developing, maintaining, and supporting high-quality research environments that enable advanced computation, data analysis, and AI/ML workflows at the National Computational Infrastructure (NCI). The role supports major scientific domains—including climate and weather, geosciences, national water management, bioinformatics, and astronomy—by ensuring researchers can effectively utilise NCI’s HPC, cloud, data, and GPU platforms. Working under the broad direction of the Software and Data Modernisation Manager, the Specialist is responsible for deploying and optimising scientific software stacks, integrating tools and services into NCI’s computational ecosystem, and supporting users with expert advice on HPC, data science, and AI/ML workflows. The position also leads the development of documentation, training materials, and community engagement activities to ensure users can access, understand, and leverage NCI’s capabilities. The role requires strong technical expertise in scientific computing, HPC environments, Linux-based workflows, and modern AI/ML technologies. It also demands excellent communication skills, a proactive service mindset, and the ability to collaborate across teams and with external stakeholders. The Specialist is expected to stay current with emerging technologies, contribute to performance optimisation and software modernisation efforts, and uphold ANU’s standards for safety, equity, and professional conduct. The Person The ideal candidate holds postgraduate qualifications or equivalent experience in HPC, data science and AI/ML, with strong domain expertise in areas such as climate, weather, environmental science or related fields. They demonstrate proven capability in developing, optimising and deploying scientific workflows across HPC, cloud and GPU environments, with proficiency in programming languages such as Python, Fortran, C, R or Julia and experience with modern AI/ML frameworks. They have expertise in data formats, software engineering practices, performance profiling and benchmarking, and are confident working within Linux environments and distributed systems. The successful candidate is collaborative, proactive and service-oriented, with excellent communication skills and the ability to engage effectively with researchers and stakeholders. They are committed to delivering high-quality user support, training and documentation, and maintain currency with emerging technologies in HPC, data science and AI/ML to drive continuous improvement and innovation. For further information please contact, Rui Yang, Software and Data Modernisation Manager, T: +61 2 6125 2469, E: rui.yang@anu.edu.au. The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au ANU values diversity and inclusion and is committed to providing equal employment opportunities to people of all backgrounds and identities.  For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing date: Sunday, 22 March 2026, 11.55PM (AEDT)