Üsküdar University

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)

Doctoral researcher on energy systems, life cycle sustainability, decision models, and investment pathways Aalto University is where science and art meet technology and business. We shape a sustainable future by sparking the game changers of tomorrow and by creating novel solutions to major global challenges. Our community is made up of 13,000 students, 400 professors and close to 4 500 other staff members working on our vibrant campus in Espoo, Greater Helsinki, Finland. We actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Engineering drives science and innovation in industrial and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our school lies in close collaboration with stakeholders across research and education. About 45 doctoral candidates and 350 master’s students graduate from the school every year. The school is home to 700 staff members, including 70 professors. To learn more, please visit eng.aalto.fi. The Department of Energy and Mechanical Engineering at the Aalto University School of Engineering invites applications for Doctoral researcher on energy systems, life cycle sustainability, decision models, and investment pathways Aalto University Department of Energy and Mechanical Engineering is a community of around 300 staff members – including 30 tenure track professors – assembled to research, teach, create, and develop solutions for society’s needs. Key research areas include marine and arctic technology; energy technologies and systems; mechanical systems and mechatronics; and materials, manufacturing, and product development. We have strong links to industry, creating lasting impact in both business and society. We are now looking for a doctoral researcher in energy systems, life cycle sustainability, decision models, and investment pathways. The successful candidate will contribute to research on offshore-wind and Hydrogen integrated large-scale power-to-X pathways, with a focus on industrial applications and cross-border energy supply chain aspects. Your role and goals The work may focus on one or more of the following themes. P2X technology assessment and scenario modelling Techno-economic evaluation Sustainability analysis and life cycle assessment Uncertainty-based investment pathway modelling Multi-criteria decision making approaches and optimization System dynamics modelling Energy system resilience and risk assessment The research will heavily involve mathematical model development and the use of specialised software for impacts assessments, system dynamics, simulations etc. The researcher is also expected to carry out collaborative work with external stakeholders such as industry partners, depending on the project needs. Therefore, the work will also require ongoing stakeholder engagement and communication. The primary workplace is Aalto University’s Otaniemi Campus. The work requires in-person presence on the campus, due to the need for specialised software. The doctoral degree is granted after successfully completing a set of advanced taught courses (30 ECTS), writing a doctoral thesis (usually based on publications), and defending the thesis in a public examination. During the duration of the doctoral studies, the researcher will be expected to present publish in leading academic journals and high-level scientific conferences, actively participate in the research group activities, assist in the preparation of new research proposals, engage in teaching-related duties, and help to advise master’s students during the preparation of their final project. Your network and team The doctoral researcher will be a part of the Energy Conversion and Systems research group in the Department of Energy and Mechanical Engineering. The supervisor will be Prof. Hirushie Karunathilake. Your experience and ambitions We are looking for a highly motivated candidate with strong analytical skills and a clear interest in energy systems, mathematical modelling, sustainability, and energy economics. Applicants should hold a master’s degree with very good grades in mechanical engineering, energy engineering, or a closely related field. Fluent written and verbal communication skills in English are essential, and strong mathematical skills are expected. Finnish knowledge is an added advantage. The successful applicant should enjoy working in an international and interdisciplinary research environment and be willing to engage with both methodological and applied research questions. Strong interpersonal skills are also essential. The ability to work both independently and collaboratively as part of a research team is necessary. Previous knowledge and experience in the following will be considered an added advantage. Mathematical model development Programming skills and experience with tools such as MATLAB or Python Life cycle assessment (LCA) Software related experience on system dynamics modelling, GIS, and energy simulations Research writing and publications Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University. What we offer The preferred staring date for this position is in the Spring of 2026. The initial contract period is 2 years, evaluated by a compulsory midterm review during the second year, with the possibility of extension for the remaining period (a further 1-2 years) if satisfactory progress has been made. The salary range, terms, and conditions are based on a collective bargaining agreement among Finnish universities. The starting salary is approximately 2960 €/month (gross), and it increases as the Doctoral Researcher progresses in their research and studies. You will work in a community of students, researchers and other professionals, and will receive support in building a thriving academic career and to reach your professional goals. The Otaniemi campus is a thriving and connected community of 100 nationalities, 13,000 students and 4,500 employees. Life at the transformed campus is vibrant and filled with amazing architecture, calming nature, and a variety of cafes, restaurants, services and good connections along the recently opened metro line. Join us! To apply, please share your application with us through our recruitment site ("Apply now!”) at the latest by 13 March 2026. Applications submitted by email will not be accepted. We encourage you to apply early, as we will start reviewing candidates immediately. Applications will be considered until the position is filled. Please include the following attachments: Motivation letter with the applicant’s contact information and an indication of the preferred starting date (max 1 page) CV including details of all academic outputs and publications (if available) Contact information for two referees (with email addresses) who may be contacted to obtain a recommendation (max 2 pages) Summary of the applicant’s master’s dissertation (max 1 page) Copy of the applicant’s master’s degree certificate and transcript of studies (with a clear explanation of the grading scale). Students in the final year of their Master’s programme are welcome to apply, but the expected graduation date must be clearly stated in the application. Candidates must have completed the master’s degree before the PhD contract begins. Content-related questions about the vacancy may be directed via email to Hirushie Karunathilake (PhD supervisor) using the email format hirushie.karunathilake@aalto.fi. University reserves the right to leave the position open, extend the application period, and consider candidates who have not applied during the application period. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi/ About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again as the happiest country in the world: World Happiness Report 2024 For more information about living in Finland: Aalto Careers for International Staff. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

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.