Al-Nisour University

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 16 000 students and 5 200 employees, including 446 professors. Our campus is 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. Call for Proposals: Two Postdoctoral Positions in Quantum Technology The Finnish Ministry of Education and Culture has announced additional support for national doctoral education pilot in quantum technology (QDOC) aimed at postdoc recruitments. The focus is on supporting the training and supervision of the 90 doctoral students who are currently enrolled under QDOC across Finland. QDOC team invites applications for two postdoctoral positions that combines research with the development and delivery of a course or training module aimed at QDOC students nationally. The duration for each position is one year, with the possibility of extension for an additional year. While the positions are formally hosted at Aalto University, the employee may, at their own discretion, pursue a visitor agreement with a QDOC host university, subject to agreement by Aalto University and the host university of the visit. Applicants should include a brief plan for potential visits in their application. We are open to research backgrounds in both academic and industrial environments. Your role and goals The postdoc must develop and deliver a course or training activity equivalent to 5 ECTS credits, targeted at QDOC students nationally, during the funding period. The course or activity focus may be technical (e.g. quantum science and technology, methods etc.) or general (e.g. scientific communication, supervision, entrepreneurship etc.). Co-supervision of QDOC students within the funding period is considered an advantage. We expect the candidates to have: Completed a PhD degree in a field complementary to the goals of QDOC. The candidate must show evidence of good written and oral communication skills in English. What we offer The positions are hosted at Aalto University under full-time employment agreement. The postdoc contracts will initially be made for 1 year. Employees could work remotely according to Aalto University’s remote work policy. Aalto University follows the salary system of Finnish universities. The salary ranges for a postdoc from 4138 € to 4549 € per month, depending on previous experience. The contract includes Aalto University occupational healthcare. Join us! The deadline for applications is 10.05.2026. To apply for the position, please submit your application including the attachments mentioned below as one single PDF document (max 2 pages) in English through our online recruitment system by clicking “Apply now!” button in our web page. Brief CV of applicant and research focus (max 1 page). Course or training activity concept with a short description of its contents and format (max 1 page). Role of applicant in co-supervision of QDOC students (if any). 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 aalto.fi) via Aalto University open positions For more information about the role, please contact QDOC Director Prof. Adam Foster adam.foster@aalto.fi and Finnish Quantum Flagship Manager Dr. Mahdi Moghaddam mahdi.moghaddam@aalto.fi. For additional information on the application process contact Minni Forss, HR Advisor minni.forss@aalto.fi. We will go through applications, and we may invite suitable candidates to interview already during the application period. We aim for a prompt evaluation process, with both positions expected to begin on 01.06.2026. 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.

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. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy causal analysis across distributed datasets while preserving privacy. The successful candidate will be responsible for the end-to-end investigation of novel federated learning strategies for causal inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference algorithms through simulations and live demonstrations. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of novel performance metrics for federated causal inference algorithms. Analysis of causal inference models in federated settings using synthetic and real-world datasets. Design and development of novel federated causal inference algorithms and associated software APIs. Validation of algorithms via simulations and live demonstrations. Job Requirements A Master's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is highly encouraged. Proven track record in research and development of machine learning algorithms. Proficiency in algorithm development using Python and ML frameworks such as PyTorch or TensorFlow. Key Competencies Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. 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.

The Faculty of Social Sciences at the University of Helsinki invites applications for the position of INFORMATION SYSTEMS SPECIALIST for a fixed-term appointment from 11 May, 2026 to 31 March, 2027, or as agreed. We seek an information systems specialist to join the ReliaCode project at the University of Helsinki. Our aim is to make LLMs usable in organisational settings with high reliability requirements, especially for reasoning about complex document collections. We’re building methods to make it easier to tell when LLM outputs can’t be trusted, and to improve systems efficiently from limited human feedback. The work is part of an early-stage initiative based in a university environment, with secured funding and a strong focus on real-world impact through pilot collaborations with organizations. The goal is to iteratively develop a product that could evolve either into a general-purpose platform for unstructured data processing or a focused solution in a specific domain. This role offers a unique opportunity to work at the intersection of research and product, and to help shape the technical direction of a potential startup from the ground up. We are offering a year-long full-time contract with the possibility of continuing afterwards in a potential spin-out company. We are particularly looking for candidates with: Strong Python and software engineering skills Hands-on experience using LLMs in applications, especially with multiple model calls and high reliability requirements Experience evaluating LLM systems, including designing benchmarks and using evaluation signals to identify failures and improve system performance Familiarity with practical ML approaches for ranking or classification with noisy or limited signals Comfort working independently in an early-stage project and taking ownership of open-ended problems The following are seen as advanteges but not necessary: Experience working with unstructured data sources (e.g. documents, long-form text) Familiarity with machine learning or NLP, particularly in areas such as information extraction or human-in-the-loop systems Some experience building and maintaining applications used by others  Familiarity with standard software engineering practices (e.g. version control, code review, testing, iterative development) What we offer The University of Helsinki is an equal opportunity employer and offers an attractive and diverse workplace with a variety of development opportunities and benefits. The monthly gross salary range will be approx. €3,900 – €4,700, depending on the appointee’s qualifications and experience. Further information can be obtained online. The employment contract will include a probationary period of six months. The appointee is expected to reside in Finland while employed by the University of Helsinki.  How to apply Please submit your application through the University of Helsinki Recruitment System via the link "Apply now" (“Hae nyt”). Use your current email address to register to the Recruitment System. Only applicants who are currently employed by the University of Helsinki are requested to submit their application via the link “Employee login”. The closing date for applications is 20 April, 2026.  Further information Further information about the position can be obtained from university researcher Aleksi Knuutila, aleksi.knuutila@helsinki.fi. 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. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers