Oran 1 University

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

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.

Ref.: 534801 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for a joint Post-doctoral Researcher in the Faculty of Social Sciences (FOSS) at The University of Hong Kong (HKU) and Institute for Social Research (ISR) at University of Michigan (U of Michigan) (Ref: 534801), to commence as soon as possible, on a temporary term of one year, with the potential for a second year in ISR at U of Michigan. Background The Faculty of Social Sciences and Institute for Social Research are collaborating to foster cutting-edge areas in social sciences research. This joint post-doctoral researcher aims to support the next generation of leading social sciences researchers, by enabling them to develop a range of research skills in different contexts, working with mentors with different disciplinary and substantive expertise in the social sciences. The successful candidate will have the chance to work with leading researchers (mentors) in both FOSS and ISR to develop his/her research ideas and skills for a future career in academia or another research setting. He/She will work at HKU in the first year and is expected to spend the second year at U Michigan. He/She will be required to complete the necessary administration procedures (including recruitment, visa application) for taking up an appointment at U of Michigan, pursuant to relevant terms of employment. Duties and Responsibilities Produce high quality research on the research priorities and clusters of both FOSS (HKU) and ISR (Michigan) Support FOSS and ISR colleagues in research dissemination events Assist FOSS and ISR colleagues in the preparation of research reports Perform other research related duties for FoSS and ISR Requirements a Ph.D. degree in social sciences discipline from a recognized university, awarded within the past three calendar years, or expected to obtain a Ph.D. degree by the start of the fellowship (no later than December 1, 2026). Documentary proof of qualification may be required an outstanding record of research performance, with a research area that aligns with the focus of FOSS (HKU) and ISR (Michigan) good interpersonal, communication, organizational and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before making application What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave, medical benefits, etc. How to Apply The University only accepts online application for the above post. Applicants should apply online and upload the following documents at the University’s Careers site (https://jobs.hku.hk). A thesis abstract (up to 1 A4 page); A brief cover letter addressing the job requirements (up to 2 A4 pages); A key research output (if available); A research proposal (up to 2 A4 pages); A brief Curriculum Vitae (up to 2 A4 pages); Letters of support from the mentors (one from each of FOSS and ISR); and Names and contact details of three references, including one from their Ph.D. supervisor/advisor. Review of applications will start as soon as possible and continue until April 30, 2026 or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency