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Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN MACHINE-LEARNING, STATISTICS AND DATA-CENTRIC ENGINEERING starting from September 2026, or as agreed. The Doctoral Researcher will be offered a full-time contract for the maximum duration of 3 years (possibly extendable to 3.5-4 years). There will be a trial period of six months at the beginning of employment.  Position description The successful candidate will work within the research project “Advances in generalized Bayesian inference via differential-geometric methods” funded by the Research Council of Finland under the supervision of the Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University). We have been developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. The successful deployment of statistical models and AI solutions relies heavily on the quality of underlying model assumptions and the learning algorithms they employ. The design of loss functions is therefore crucial in the process of model development to the specific tasks at hand. For instance, the Hyvärinen score matching principle has been widely applied in AI systems, particularly for tasks such as diffusion-based image generation. This project seeks to further develop and broaden the range of loss functions by incorporating concepts from differential geometry. Additionally, we leverage the theory of estimating functions to create optimal inference algorithms for the proposed loss functions based on its underlying Riemannian geometry, as well as for those previously introduced in the literature. These advancements hold significant potential for a wide range of applications, spanning scientific research and societal challenges at large. The primary research site is the Department of Computer Science at the University of Helsinki (UH), strong synergy also exists between researchers at the Department of Computer Science at Aalto University, supported by the flagship grant from the Research Council of Finland (RCF) for AI research, called the Finnish Center for Artificial Intelligence (FCAI). This project is further related to the European Laboratory for Learning and Intelligent Systems (ELLIS unit Helsinki and ELLIS Institute Finland). Both institutes aim to foster cutting-edge research and establish a globally recognized concentration of expertise in ML and Statistics. You will also have the chance to collaborate with researchers from University of Cambridge (UK), Technical University of Denmark, University of Warwick, Nanyang Technological University and Hamburg University of Technology. Please check our personal website (as hyperlinks in our names) for details and news. The Doctoral Researcher is expected to: advance the research project together with the project leader and conduct doctoral studies and research work leading to a completed PhD thesis within 4 years. Your work may also include teaching duties (at most 5% of annual working time). Requirements and eligibility criteria The doctoral researcher should have a Master's degree in Statistics, Mathematics or Computer Science (or a related field) with an emphasis on applied mathematics/statistics/machine-learning. Prior experience in the probabilistic machine-learning, neural-networks, statistical inference and data modelling is a bonus. Prior experience in some computer programming language is expected (Python, Julia, R, Matlab etc). Excellent communication skills in English, both verbal and written, are naturally expected. In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes Salary and benefits The starting salary of the Doctoral Researcher will be ca. 2800 euros/month, depending on the appointees’ qualifications and experience. The salary will develop in accordance with the progress of studies. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University provides support for internationally recruited employees with their transition to work and life in Finland. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks Finland is a member of EU, has high quality free schooling (also in English), generous family benefits and healthcare, and has been ranked as the happiest country in the world for eight consecutive years. For more information about working at the University of Helsinki and living in Finland, please see https://www.helsinki.fi/en/about-us/careers. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our university How to apply Please submit your application, which includes the following documents in English: A motivation letter describing why you are interested in this position and how you are qualified (max. 1 page) A curriculum vitae including a list of publications (if any). One example of a written analytical text (e.g. Master’s thesis). If the text is not solo-authored, detail your contribution to producing the text. The names and contact information of two referees, who are willing to provide reference letters upon request (optional). External applicants, please submit your application through the University of Helsinki’s recruitment system via the Apply Now button. Internal applicants, applicants who have a helsinki.fi username and a valid employment/grant/visitor contract at the University of Helsinki are requested to submit their application via the Employee login button. We are eager to fill this position as soon as possible and therefore encourage early applications. However, the absolute deadline for submitting applications is July 15th, 2026 (at 23:59 UTC +2). More information? For questions project and position related questions, please contact  Academy Research Fellow (PI) Marcelo Hartmann, marcelo.hartmann@helsinki.fi For more information on the PI and publications, see https://www.helsinki.fi/en/researchgroups/multi-source-probabilistic-inference With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. *** fThe Department of Computer Science is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate master's Programme in Data Science, in which other departments also participate. 

Position Details Continuing | Full-Time Higher Education Officer Level 5 | $84,599 - $93,366 p.a. Location: Bedford Park / Kaurna Country View Position Description About the Role This key student-centric role is based in one of our five colleges at Beford Park and contributes to the ongoing development and delivery of the University academic timetable, which includes data collection, data entry, analysis and management of timetabling data and resolution of timetabling changes. Working within a highly skilled team, you will monitor and support class management activities, processes relating to the engagement of academic staff and participate in regular audits and inspections of university teaching spaces, while taking ownership of our goal to improve processes incrementally. Some of the key position responsibilities are: Developing and maintaining effective stakeholder relationships with Teaching and Professional staff and provide high quality customer service for information, interpretation of policies and procedures and advice on class timetabling, class management and information regarding bookings for central teaching rooms within the University Undertaking the annual timetabling data collection process and provide support for Teaching staff in the provision of this data in accordance with University deadlines. Work with individual staff members across Colleges to improve timetabling approaches to increase efficiencies and outcomes for students. Assisting with the maintenance of the Clash Free Pathways required to support the optimised University timetable. Maintaining Topic and Topic Availability data in the student system along with the management and maintenance of Topic Coordinators and Teaching teams. Contributing to all Class Management activities including the monitoring of waitlists, provision of reports, process special circumstances requests and resolve student class registration issues. Ensuring students are informed on how to improve student benefits from their timetable, through information, familiarisation material and communications. Please view the Position Description for a more comprehensive list of key responsibilities & capabilities. Opportunities for development, or to build on your current skills will be available to the successful applicant. About You Your communication, customer service and interpersonal skills ensure your ability to maintain and enhance relationships with students, staff and other stakeholders, enabling constructive and collaborative interaction to achieve successful outcomes. These skills are matched by exemplary organisational, time and workload management skills, including your ability to prioritise workload to meet strict deadlines. To be successful as an Education Resources Officer, you will also demonstrate: An understanding or experience in scheduling, timetabling or class management in an education environment or equivalent. The ability to work in a team environment and assist in achieving strategic outcomes. Knowledge of higher education administrative business processes and an understanding of relevant policies and procedures. High level written, verbal and computing skills including the ability to produce written information, reports, correspondence and presentations for a range of audiences. Proven ability to think about the task at hand, and finding better ways of doing it (process improvement) About the Student Administration Services Student Administration Services operates under a university wide matrix services model. SAS teams are integrated within each of the six colleges, along with the front-end student service hub (Flinders Connect) and university-wide administration services to provide support across the student lifecycle, from admissions through to graduations.  The suite of services that the SAS unit delivers are crucial to the student experience. These services act as the scaffold around the learning experience. In a world of increasing choices and options for students, service excellence is non-negotiable. In SAS, we understand that improving the student experience requires a holistic, one team approach. The SAS team also likes to have fun and we celebrate our successes. Although spread across colleges and campuses, we take time to come together and build relationships across teams. Social activities, training and development sessions, communities of practice and staff led projects support engagement and provide opportunities to extend our understanding of the University and its environment. We make administration fun! Life at Flinders They say know your place. We say you've found it right here. Flinders University was founded on the belief that learning should open minds, celebrate individuality and give people the freedom to pursue their own point of view. That spirit lives on in our community of thinkers, doers and changemakers who challenge convention, and each other, to shape what comes next.  Rising to a challenge is nothing new for Flinders. During our first 60 years, we’ve navigated revolutionary changes in social and cultural norms, and have responded to transformative economic, environmental and technological developments. Through it all, we’ve continued to deliver for our students and community, innovating in learning and research to prepare graduates for the changing world they help create  Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?  17% Superannuation + salary packaging options Flexible working arrangements Awarded the AHEIA Higher Education Award for Workplace Culture Excellence due to our commitment to wellbeing through our Thriving@Flinders staff wellbeing program  Wide range of professional development activities and services, including exclusive staff study offers  We embrace diversity and promote equity and inclusion for all students and staff, as shown through our three SAGE Cygnet Awards. Vibrant campus life and amenities including on campus health care services, gym and childcare centre (Bedford Park, South Australia). Recognised as a Veteran Employer of Choice  Our Commitment to Reconciliation and Indigenous Employment  Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies.  Please see here for our Reconciliation Action Plan Please see here for our Indigenous Workforce Strategy  Prescribed Conditions for Employment Flinders University is committed to providing a safe, respectful and inclusive environment, free from gender‑based violence. Appointment to this role is conditional on the completion of required pre‑employment checks and declarations, each of which must be satisfactory to the University. This includes a Gender‑Based Violence declaration, in accordance with the National Higher Education Code to Prevent and Respond to Gender‑Based Violence (2025), and a Nationally Coordinated Criminal History Check How to Apply and Information Along with your resume, you are required to submit Suitability Statement of no more than 3 pages, addressing the Key Position Capabilities of the position description. For more information regarding this position, please contact Luke Robins Certification Applications to be submitted before 10.00pm: 01 July 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.

The Faculty of Science invites applications for  DOCTORAL RESEARCHER in atmospheric sciences starting latest in January 2027 in a fixed term contract of 3 years. Background Weather forecasting helps us plan daily activities and prepare for extreme events. Today, most forecasts rely on powerful computer models that simulate the atmosphere using the laws of physics. These models are accurate but require enormous computing power. Artificial intelligence (AI) can predict the weather much faster and with less energy, but we still don’t fully understand how they make their predictions. The AI-Dream project will explore how AI “thinks” about weather by simplifying complex AI models and testing them under controlled conditions. By combining the speed of AI with the physical accuracy of traditional weather models, AI-Dream aims to create a new generation of forecasting tools that are faster, more efficient, and more trustworthy, helping scientists and society better anticipate weather events and the climate. The doctoral researcher will be working on the AI-Dream project. They will have to develop criteria and evaluation suites to test the “physical” accuracy of deep Machine Learning (ML) models. The doctoral researcher will also use state-of-the-art methods to make the ML models explainable, namely Deep Linear Probes and Latent Space Cartography. This work will be associated with large dataset management in a HPC environment. The doctoral researcher will work as part of the dynamic meteorology group at INAR, and be supervised by Dr. Clément Bouvier. The group covers a range of topics including atmospheric deep convection, extra-tropical cyclones, heat waves, ensemble prediction and algorithmic parameter estimation techniques as well as future changes to our weather and climate on global and regional scales. The work will be done in close collaboration with the University of Cambridge (Cambridge, UK), the Washington University (Washington, US), the ECMWF (Reading, UK), and the Lahti University of Technology (Lahti, FI). Doctoral researcher position We are seeking a talented and motivated doctoral researcher (PhD student), who recently completed their MSc degree in the field of Physics, Meteorology, Computer Science, or any other similar area. MSc students near the completion of their degree are also encouraged to apply. The candidate should have: Willingness to pursue a PhD degree in meteorology Good skills in written and spoken English Strong experience in dynamic meteorology Some previous experience in programming in Python and statistical analysis of scientific data is wished for. Previous experience in Machine Learning is an advantage.  Interest in doing research close to the project scope and ability to independent creative thinking, combined with good self-discipline and reasonable communication skills Willing to visit the University of Cambridge for a period of 3 months to work on the project with Pr. Driscoll. The appointee should either already have the right to pursue a doctoral degree at the University of Helsinki by the start of the appointment or apply for the right and obtain it within the probationary period of six months of their appointment. If the candidate does not already have the right to pursue a doctoral degree at the University of Helsinki, it must be applied for separately (www.helsinki.fi/en/research/doctoral-education/the-application-process-in-a-nutshell). The requirements for pursuing a doctoral degree at the University of Helsinki can be found at https://www.helsinki.fi/en/research/doctoral-education/eligibility-and-educational-documents. The candidate will get a chance to attend international conferences and present their scientific work in local and international meetings. As an employee of the University of Helsinki, the doctoral researcher will receive occupational health care, and will be entitled to sports facilities, and opportunities for professional development. The doctoral researcher position starts the latest in January 2027 (or as soon as the position is filled). The position is initially for 3 years. The employment contract will include a probationary period of six months. Research environment Finland is a member of the EU, and has high quality free schooling (also in English), generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families and in the world’s top ten most livable cities. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks. For more information about working at the University of Helsinki and living in Finland, please see https://www.helsinki.fi/en/university/working-at-the-university. The starting salary of the doctoral researcher will be ca. 2700-2900 euros/month, depending on the appointees’ qualifications and experience. Furthermore, the University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and opportunities for professional development. The University of Helsinki is a multidisciplinary research university that ranks among the best in the world and the top ten among European universities. The university has some 36,000 degree students. The Institute for Atmospheric and Earth System Research (INAR) is a large multidisciplinary research unit based in physics, chemistry, meteorology, forest sciences, environmental sciences and social sciences in the University of Helsinki. INAR aims to strengthen the internationally leading, integrated multidisciplinary research and education environment for atmospheric and Earth system science and to feed in scientific results for the national and international environment and climate policy. It performs multiscale research from molecular to global scale and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes. The University of Helsinki welcomes applicants from a variety of gender identities, linguistic and cultural backgrounds. How to apply Please apply with; a one-page motivation letter clearly highlighting research/educational accomplishments, a two-page CV (clearly highlighting earlier relevant experience in Dynamic Meteorology, Machine Learning, or Numerical Weather Prediction), and a Bachelors/Masters degree grade card including Bachelors/Masters thesis topic and its grade. Please submit all files in a single pdf document using the University of Helsinki Recruitment System by clicking the Apply for the position button below. button “Apply now”. Applicants who are employees of the University of Helsinki are requested to leave their application via SAP Fiori. The deadline for applications is August the 28th of 2026. The selected candidates will be contacted personally and will be invited for an interview. For further information, please contact Doctor Clément Bouvier, clement.bouvier@helsinki.fi.