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<h2 class="text-heading-large"> About the job </h2>
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<p>At GTK, we aim to work for the Earth and for Us. We conduct
objective research to find solutions to challenges posed by
climate change, the energy transition, and the circular economy.
Our 400 experts are specialists in the mineral economy, green
energy, water management, the environment, and digital
solutions. Together with our Finnish and global partners, we are
building sustainable and carbon-neutral future. GTK is a
research organization governed by the Finnish Ministry of
Employment and the Economy. <a class="moz-txt-link-abbreviated" href="http://www.gtk.fi/en">www.gtk.fi/en</a></p>
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<p><span><strong>Research Scientist (postdoc) in Scientific
Machine Learning and Interpretable Physics-AI for
Geosystems</strong></span></p>
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<p>The Geological Survey of Finland (GTK) is looking for a
research scientist in postdoctoral phase with strong knowledge
of scientific machine learning (SciML), reactive transport
modeling, or coupled subsurface process to work on a project
within the Water and Mining Environment Solutions unit. Your
office is in Espoo and you can also work remotely flexibly in
Finland. Project offers the possibility for research visits
abroad.</p>
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<p>The position is funded by the Research Council of Finland
(RCF) until the end of year 2028. Your assignment will be to
work at the interface of process-based reactive transport
modeling and advanced machine learning, with the goal of
developing efficient and reliable surrogate models for highly
nonlinear PDEs describing coupled groundwater contaminant
transport dynamics and its mitigation in subsurface systems.
You are expected to integrate suitable SciML methodologies
with these groundwater transport models, and to contribute to
the development, implementation, and validation of flexible
hybrid modeling frameworks. This will involve working with
neural operators and physics-informed neural networks (PINNs),
as well as exploring and developing new SciML methodologies.</p>
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<p>The project provides an opportunity to work on frontier
research at the interface between AI, physics, and geoscience,
with strong international visibility and collaboration
opportunities. The work includes close collaboration with the
University of Eastern Finland (UEF) and interaction with a
doctoral researcher working within the same project.
Furthermore, the project is supported by an active
international collaboration network within several
universities and offers extended scientific exchange with
leading research groups abroad. You are expected to publish
the project results in high-quality journals, and participate
in scientific conferences, workshops, and seminars to present
the outcomes of this project.</p>
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<p>In the Water and Mining Environment Solutions unit, you are
part of a group of around 50 experts working on groundwater
research, hydrogeochemistry, groundwater flow and reactive
transport modeling, mining environmental issues and water
management. The position is located in a group focusing on
mining environments and side streams. Our group is
multi-locational and multinational work community and consists
of 17 members.<span class="white-space-pre"> </span></p>
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<p><span><strong>Education, experience and skills expected of
the applicant</strong></span></p>
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<li>PhD in applied mathematics, computational science,
computer science, hydrogeology, or in other relevant fields
of science or engineering (Completed PhD is required before
the start of employment*)</li>
<li>Background in scientific machine learning, neural
operators, or physics-informed learning</li>
<li>Good publication record</li>
<li>Solid experience with deep learning libraries</li>
<li>Experience in PDE-based modeling, scientific computing or
numerical methods</li>
<li>Fluent oral and written skills in English</li>
<li>Willingness to travel in Finland and abroad e.g.
conferences, research visits for a couple of days or a week
at a time or even extended scientific exchange for several
weeks<span class="white-space-pre"> </span></li>
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<p><span><strong>Education, experience and skills that are
appreciated</strong></span></p>
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<ul>
<li>Experience in reactive transport modeling</li>
<li>Experience in inverse problems, data assimilations, or
uncertainty-aware modeling</li>
<li>Knowledge in numerical methods related to environmental or
subsurface modeling</li>
<li>Interest in interpretable or physically constrained
machine learning</li>
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<p>* The candidates who have defended and are waiting for the
PhD diploma as well as the candidates who have not yet
formally defended their PhD but are expected to do so before
the starting date are eligible and encouraged to apply.</p>
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<p><span><strong>Personal qualities desired from the applicant</strong></span></p>
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<p>You are initiative, research-driven and act independently in
your work. You are motivated to contribute high-impact and
method-oriented research. You can seize opportunities quickly,
want to learn new things, and know how to prioritise tasks.
Working in a team comes naturally for you. You have good
cooperation and networking skills.</p>
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<p><span><strong>What we offer<span class="white-space-pre"> </span></strong></span></p>
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<p>GTK is an international and diverse work community where
everyone’s input is valued. Our employees have the opportunity
to influence their own work and work remotely in Finland. At
GTK we are committed to renew our operations and expertise. We
take care of our employees’ well-being with our wide range of
activities that support wellbeing at work. In addition, we
offer central government holiday benefits and a modern and
multi-location work, such as flexible working hours. Find out
more about us: <a class="moz-txt-link-abbreviated" href="http://www.gtk.fi/en/careers-at-gtk/">www.gtk.fi/en/careers-at-gtk/</a></p>
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<p><span><strong>Information about pay</strong></span></p>
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<p>The total salary at the beginning of employment will be EUR
4414-4704 per month. The salary is determined by the
competence of the person selected for the position.</p>
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<p><span><strong>Other details</strong></span></p>
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<p>The position is fixed term. The starting date is 1.5.2026 or
by agreement. The term ends on 31.12.2028. The position
includes a probationary period. It is possible for GTK to
terminate the employment contract before the end of the period
if the project funding is transferred elsewhere or ends due to
possible personnel changes (project funding is bound to the
Principal Investigator of the project).</p>
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<p>For further information, please contact your future
scientific instructor and the project PI, Research Scientist
(PhD) Hanli Qiao (tel. +358 50 348 6190, email:
<a class="moz-txt-link-abbreviated" href="mailto:hanli.qiao@gtk.fi">hanli.qiao@gtk.fi</a>), reachable on Monday to Friday between
12-16 (EET) or your future supervisor, Team Manager Anna
Tornivaara (tel. +358 50 347 1158, email:
<a class="moz-txt-link-abbreviated" href="mailto:anna.tornivaara@gtk.fi">anna.tornivaara@gtk.fi</a>), reachable on Thursdays between 12-14
and Fridays between 9-11 (EET).</p>
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<p>We consciously advance the diversity and equality of our
staff, so we encourage many kinds of people from diverse
backgrounds to apply for our positions. Our work community is
made up of more than 20 different nationalities, which is one
example of our diversity.</p>
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<p>Please send your application with your motivation letter and
CV in English through the valtiolle.fi-service latest on
25.2.2026 at 16:15 (EET), using service key 19151.</p>
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<p>The interviews are scheduled to take place in early March.</p>
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<p>We may conduct a personal background check on the person
selected for the job with the person’s consent (security
clearance act 726/2014). For more information about the
security clearance process and the rights of subjects of
background checks, please visit <a class="moz-txt-link-abbreviated" href="http://www.supo.fi/en">www.supo.fi/en</a></p>
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<p>Please note that names of the applicants and the applications
with attachments are public.</p>
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