Jönköping University

Based in the College of Science, Adelaide City Campus East 2 x Part time (0.5FTE) or full time (1.0FTE) fixed term contracts available for 2 years Salary range: (Level A) $81,293 - $109,307 - (Level B) $114,917 - $135,932 per annum (plus 17% superannuation) At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters This role will directly impact the development of next-generation frequency comb technologies, applied to optical atomic clocks and other precision metrology applications. Part of the ARC Centre of Excellence in Optical Microcombs for Breakthrough Science (COMBS), the position will underpin multidisciplinary and nation-wide collaborations. The Australian Research Council (ARC) Centre of Excellence in Optical Microcombs (COMBS) for Breakthrough Science aims to explore the society wide transformations that will flow from optical frequency combs - thousands of highly pure light signals precisely spaced across the entire optical spectrum - by leveraging and building upon the latest breakthroughs in physics, materials science and nanofabrication. It expects to generate a wide new base of knowledge in fields as diverse as astronomy, spectroscopy, chemical sensors, and precision measurement. Expected outcomes include the capability to realise complete comb systems on a chip the size of a fingernail, tailored to specific applications, with significant benefits spanning from imaging live cells to autonomous vehicles, satellite communications, and the search for exoplanets. As a member of COMBS, you will have the opportunity to work with other COMBS researchers spanning all career stages at our various member institutions. You will also have the opportunity to engage with industry across Australia and around the globe. There will be many opportunities for learning through workshops, technology translation and entrepreneurship bootcamps, and access to top photonics scientists. The team Reporting to the Chief Investigator and Research Group Senior Manager of Adelaide University’s Precision Measurement Group (PMG), the role will lead the development of experimental capabilities in the research and construction of next-generation frequency combs, contributing to the advancement of the capabilities of the broader PMG and COMBS network. PMG is composed of world-leading physicist and engineers, developing next-generation precision metrology techniques and technologies. The College of Science expands knowledge and turns it into real-world solutions for today’s biggest challenges. From improving health and advancing new technologies to developing sustainable solutions, our teaching and research make a meaningful difference in society. Visit the AU website to learn more about the College of Science | Adelaide University. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role suits someone who thrives in a dynamic environment with a variety of tasks to complete and enjoys working in cross-functional teams to maximize our collective achievements. You’ll engage with colleagues, students, and collaborators, receiving and delivering research contributions across teams. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: Level A A PhD (or near completion) or equivalent degree in experimental physics, electrical and electronic engineering or a related discipline. In-depth knowledge related to optical frequency combs, including design for spectroscopic applications, manufacturing, implementation and characterisation. Advanced analytical and computational skills, including data collection and analysis, and a demonstrated ability to perform numerical and symbolic calculations. Demonstrated success working in a team environment, with the ability to lead independent research activities. Experience working as part of a research project or performing novel research. Excellent verbal, written communication and interpersonal skills. Ideally, hands on experience in an optics / atomic physics lab, comfortable setting up beam paths and working with class 3B lasers. Level B At least 2 years of postdoctoral research experience in research and development related to optical frequency combs (e.g. microcombs, free-space combs, fibre-based combs) and their applications. Experience with locking techniques to stabilise optical frequency combs. Hands-on experience with building frequency combs, or other integrated laser platforms. Demonstrated ability to conduct independent research in addition to working effectively as a member of a cross-disciplinary team. Experience in building, managing and delivering on cross-group, cross-institutional and interdisciplinary research projects. Experience in communicating effectively with professional and industry bodies, government, and members of the community. Experience in leading research projects that have required organisational and time management skills, including experience to follow an agreed project plan and meet realistic milestones Commitment to the principles of equity, diversity and inclusion, and ability to contribute to the diversity of the school community. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role  The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm, Wednesday 15 July 2026. Please note that the role description is not attached to this advertisement as it is currently being finalised. The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information about this opportunity, please contact (quoting reference number 492737): Jessica Maslen Team Lead – Talent Acquisition People and Culture +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au  Appointment is subject to a satisfactory National Police Check (NPC) being obtained and maintained.

The Role Thefixed-term Research Assistant (RA) position is available 4 days per week (75% FTE) in the Department of Psychology at Durham University, until June 2027. The successful candidate will join the research project "Developing a culturally fair framework for measuring the development of tool innovation across cultures" led by Dr Bruce Rawlings and funded by UKRI ESRC grant. The project focuses on understanding children's innovation across diverse cultures. This post is ideal for those who have finished a master's degree and want to gain more work and research experience before pursuing a PhD. This position will prepare the post holder research experience valuable to future independent work aimed toward impactful research with community samples. The successful applicant will be expected to start as soon as possible, to help code existing qualitative data (videos, surveys) of children's natural tool use behaviours in diverse communities and collect quantitative experimental data on tool innovation in children around the Northeast UK. Responsibilities: To understand and convey information which needs careful explanation to the team or group of people through presentations, discussions and meetings which contribute to the production of research reports and publications. To write up results of research work, present information on research progress and outcomes to bodies supervising research in a clear and accurate manner. To analyse or undertake basic research by deciding how best to apply existing methodology according to overall context and objectives. To deal with problems that may affect the achievement of research objectives and deadlines by discussing with the Principal Investigator or Grant-holder and offering creative or innovative solutions. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To contribute to the planning of research projects. To assist in contributing to support student projects on the use of research methods and equipment. To contribute to fostering a collegial and respectful working environment which is inclusive and welcoming and where everyone is treated fairly with dignity and respect. To engage in wider citizenship to support the department and wider discipline. To engage in continuing professional development by attending relevant training and development courses. This post is fixed term until 30th June 2027 with the possibility of a short extension. The funding is available now and will ideally start as soon as possible. The post-holder is employed to work on research/a research project which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols. Successful applicants will, ideally, be in post as soon as possible.

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13,000 students, 400 professors and close to 4,500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and 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. We are now looking for a Doctoral Researcher in Machine Learning for Predictive Maintenance of Maritime Machinery We are looking for a doctoral researcher to join the Research Council of Finland–funded TRANSITION-MODEL project at Aalto University’s School of Engineering, Department of Energy and Mechanical Engineering. The project advances predictive maintenance from offline modelling toward real-time decision support by combining reliability engineering, probabilistic modelling, machine learning and maritime machinery data. The position is suitable for a highly motivated candidate who wants to build a doctoral profile at the intersection of prognostics and health management, data-driven modelling and maritime engineering. The work will focus on anomaly detection, degradation modelling and remaining useful life prediction for ship machinery using experimental and operational data. Your role and goals Your main goal is to conduct doctoral research within TRANSITION-MODEL and contribute to high-quality scientific publications, reproducible methods and doctoral-level training. The work will focus on uncertainty-aware machine learning and probabilistic models for condition monitoring and predictive maintenance of maritime machinery. Your tasks include: Developing models for multivariate time-series anomaly detection, degradation modelling and remaining useful life estimation. Working with experimental and operational machinery datasets, including preprocessing, feature representation, uncertainty quantification and model validation. Investigating latent-variable, deep-learning and Bayesian approaches for learning informative health-state representations. Designing transparent evaluation protocols, including training/test separation, thresholding, false-alarm analysis and robustness assessment. Your network and team The doctoral researcher will join a research environment that combines reliability engineering, marine technology, statistical learning and industrial analytics. You will work with: Aalto University’s wider School of Engineering research community, including opportunities for interdisciplinary collaboration across mechanical engineering, marine technology, operations research and data-driven engineering. International academic collaborators and, where relevant, external stakeholders connected to ship machinery, experimental testing and predictive-maintenance applications. Your experience and ambitions We are looking for a candidate with a strong analytical mindset, clear research motivation and the ability to work independently while contributing constructively to a research team. We expect you to have: A relevant master’s degree, for example in mechanical engineering, marine engineering, reliability engineering, industrial engineering, data science, applied mathematics, computer science, electrical engineering, automation, or a closely related field. A solid foundation in at least one of the following areas: machine learning, statistical modelling, time-series analysis, reliability engineering, deep learning, condition monitoring, signal processing, Bayesian inference, or prognostics and health management. Programming skills suitable for research implementation, preferably in Python, MATLAB or a similar scientific computing environment. Good written and spoken communication skills in English. Finnish language is not required. The selected candidate must fulfil the admission requirements for doctoral studies at Aalto University School of Engineering. The employment contract can be finalized after the doctoral study right and other recruitment requirements have been confirmed, according to Aalto University procedures. What we offer This position offers the opportunity to work on a timely and scientifically ambitious research topic with clear relevance to safety, efficiency and sustainability in maritime and industrial operations. You will contribute to a project that connects rigorous modelling with real machinery data and aims to move predictive maintenance closer to practical, trustworthy and real-time use. Supervision, research guidance and sparring to support your progress as an independent researcher. Opportunities to publish, present at international conferences and build an academic network. Aalto University’s professional development opportunities, doctoral training and interdisciplinary research culture. A vibrant Otaniemi campus in Espoo, with excellent public transportation connections and a strong international community. The position is fixed term. The expected starting date is no later than September 2026. Following the standard practice in the Department of Energy and Mechanical Engineering, the contract will be made initially for two years, with possible extension depending on progress (successful mid-term progress review), funding and the standard practices of the School of Engineering. The work is full-time and the primary workplace is Aalto University’s Otaniemi campus in Espoo, Finland. Hybrid work may be possible according to Aalto University practices and the needs of doctoral research. The salary is determined according to Aalto University’s salary system and the collective agreement for Finnish universities. The final salary depends on the selected candidate’s qualifications, experience and the stage of doctoral studies. Join us! To apply, please submit your application through Aalto University’s recruitment site by 23.59 (EET) on 10.07.2026. Please include the following documents as a single PDF or as separate files according to the recruitment system instructions: A motivation letter describing your research interests, relevant background and fit with the position (1 page). A curriculum vitae, including publication list if applicable. Degree certificates and transcripts of records for bachelor’s and master’s studies. Summary of master’s thesis. Proof of proficiency in English if the applicant is not a native speaker (see eligibility and language requirements). 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. If you are a student or visitor at Aalto University, please apply with your personal email address, not your aalto.fi address, via Aalto University open positions. For more information about the role, please contact Dr. Ahmad BahooToroody, ahmad.bahoo@aalto.fi. For questions related to the application process, please contact Katariina Pehkonen, katariina.pehkonen@aalto.fi. 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. For more information about living in Finland, please see Aalto Careers for International Staff. Espoo, 16.06.2026. 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.