[Job-offers-cs] Postdoctoral researcher positions in Probabilistic Machine Learning (Aalto University)
Pekka Orponen
pekka.orponen at aalto.fi
Sun Dec 7 13:42:03 EET 2025
About the job
Samuel Kaski’s research groupProbabilistic Machine Learning
<https://research.cs.aalto.fi/pml/>is searching for postdocs to work on
AI fundamentals in exciting projects. The work includes collaboration
withELLIS Institute Finland <https://www.ellisinstitute.fi>, theFinnish
Center for Artificial Intelligence <https://fcai.fi>(FCAI), theCentre
for AI Fundamentals <https://ai-fun.manchester.ac.uk>at the University
of Manchester, the rest ofELLIS <https://ellis.eu>, and researchers from
other fields.
Samuel Kaski is Professor of Computer Science in Aalto University and
Professor of AI in the University of Manchester. He is Director ofELLIS
Institute Finland <https://www.ellisinstitute.fi>and theFinnish Center
for Artificial Intelligence <https://fcai.fi>. His research group
develops machine learning principles and methods focusing on a few key
topics (see “Machine learning foundations” below), often working with
researchers of other fields in new exciting applications (see the other
topics below).
*Topics
*You will join a team of machine learning researchers developing new
collaborative AI principles and methods. The topic opens up fresh
problems in fundamental ML and enables new applications that make a real
difference in, for example, scientific research and discovery and
intelligent decision-making. Team members bring complementary expertise,
and by working together we address novel problems that no single
approach could solve alone.
*Multimodal foundation models
**Key words:*multimodal learning, grounded and human-aligned
fine-tuning, test-time adaptation
You will join our research team developing new methods for training and
adapting large multimodal foundation models. The goal is to make these
models more grounded, efficient, and human-aligned, enabling them to
reason across modalities such as text, vision, and 3D perception.
Depending on your interests, you might work on topics such as
large-scale pretraining, test-time adaptation, efficient model
distillation, or alignment through human feedback. The research connects
to international initiatives and offers opportunities to collaborate
with leading European groups developing open and trustworthy AI systems
at scale.
*Out-of-Distribution Deployable Machine Learning
**Key words*: out-of-distribution generalization, machine learning,
active learning, human-in-the-loop learning, distribution shift,
probabilistic modelling, computational rationality, sequential
experimental design, collaborative AI, decision support
We are looking for a new postdoc in the team that develops methods for
deploying machine learning models. The team has several exciting ideas
and frameworks we work on, and opportunities for applying the methods
with top-notch collaborators. Your work will develop algorithms,
inference methods, and frameworks to adapt models from training data to
test environments, which is necessary to resolve distribution shifts,
hidden confounders, and faulty assumptions. Depending on your interests,
your work will explore domain adaptation, learning from expert feedback,
sequential experimental design, collaborative AI, and other aspects of
adapting models to test environments.
*Your Experience And Ambitions
*We expect the candidates to hold or be close to getting a relevant
doctoral degree and have a solid background in the
mathematics/statistics/computer science needed in machine learning.
Previous experience in the application fields is an advantage.
Capability of both independent work and teamwork, and excellent written
and spoken English are necessary.
*What We Offer
*We provide
* RESEARCH ENVIRONMENT
You will work in Professor Samuel Kaski’s research group (Probabilistic
Machine Learning Group <https://research.cs.aalto.fi/pml/>). We design
collaborations as we go, according to what the research needs.
Collaborators include but are not restricted to the other groups inELLIS
Institute Finland <https://www.ellisinstitute.fi>, the Finnish Center
for Artificial Intelligence (FCAI <https://fcai.fi/researchers>), other
sites of the European Laboratory for Learning and Intelligent Systems
(ELLIS <https://fcai.fi/ellis-unit-helsinki>) andCentre for AI
Fundamentals <https://ai-fun.manchester.ac.uk>of the University of
Manchester and a number of excellent researchers in other fields in our
applications.
* JOB DETAILS
Postdoc positions are typically made for up to three years. Starting
dates are flexible. All positions are negotiated on an individual basis.
We are strongly committed to offering everyone an inclusive and
non-discriminating working environment. We warmly welcome qualified
candidates from all backgrounds to apply and particularly encourage
applications from women and other groups underrepresented in the field.
All our positions are fully funded and the salary is based on the
Finnish universities’ pay scale. The starting salary depends on the
level of the position and the previous experience and is typically
increased as the experience grows. All employees have access to the
occupational health care services and are covered by the Finnish
national health insurance system.
*Ready to apply?
*Submit your application through our recruitment system Workday by the
button below “apply now”.*The deadline for applications is January 4
2026 at 23:59 Finnish time.
**Required Attachments
*
* Cover letter (1–2 pages).
* CV List of publications (please do not attach full copies of
publications)
* A transcript of doctoral study
* The degree certificate of your latest degree. If you don’t yet have
a PhD degree, a plan of completion must be submitted.
* Contact details of two senior academics who can provide references.
We will contact your referees if we need recommendation letters.
All materials should be submitted in English in a PDF format. Note: You
can upload max. five files to the recruitment system, each max. 5MB.
Please note: Aalto University’s employees and visitors should apply for
the position via our internal system Workday -> find jobs (not external
aalto.fi webpage on open positions) by using their existing Workday user
account.
Contacts: Coordinator Fang Wang (fang.wang at aalto.fi)
*More Information
*We are part ofELLIS Institute Finland
<https://www.ellisinstitute.fi>,Finnish Centre for Artificial
Intelligence FCAI <https://fcai.fi/>andELLIS Unit Helsinki
<https://fcai.fi/ellis-unit-helsinki>. More information on their pages,
and the frequently asked questions onthis page
<https://fcai.fi/we-are-hiring>.
/Aalto University is a community of bold thinkers where science and art
meet technology and business. We are committed to identifying and
solving grand societal challenges and building an innovative future.
Aalto has six schools with 14 000 students and a staff of 5000, of which
more than 400 are professors. Our main campus is located in Espoo,
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 Department of Computer Science is an internationally-oriented
community and home to world-class research in modern computer science,
combining research on foundations and innovative applications. With over
40 professors and more than 450 employees from 50 countries, it is the
largest department at Aalto University and the leading computer science
research unit in northern Europe. Computer science research at Aalto
University ranks high in several international surveys (7th in Europe
and 1st in the Nordics (NTU 2023); and 88th worldwide in Times Higher
Education subject ranking 2025).
/*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 just listed again as
the happiest country in the world:World Happiness Report 2025: People
are much kinder than we expect, research shows | The World Happiness
Report
<https://www.worldhappiness.report/news/world-happiness-report-2025-people-are-much-kinder-than-we-expect-research-shows/>.
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Please see more of our Open Positionshere.
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