Royal University of Bhutan

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop new herbicide compounds focusing on synthesis and characterizations of HPPD inhibitor herbicides. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. i. Undertake these responsibilities in the project: ii. Design and synthesize novel HPPD inhibitor compounds iii. Conduct laboratory experiments for the synthesis of target compounds, including purification and characterization using techniques such as NMR, MS, FTIR, GC and HPLC Optimize synthetic routes and troubleshoot any challenges encountered during synthesis Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements A master’s degree or Ph.D. in chemistry, or a related field. Experience in organic synthesis techniques and analytical instrumentation. Excellent problem-solving abilities and attention to detail. Strong written and verbal communication skills. Ability to work independently and collaboratively in a team environment. Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

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)

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