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Doctoral Researcher In Ai-Enhanced Adaptive Design For Dynamic Landscapes
Posted on Aug. 29, 2025
- Espoo, Finland
- 0 - 0 USD (yearly)
- Full Time

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Location: Otaniemi Campus, Espoo, Finland
- Conduct field studies in Norwegian glacial regions to capture high-resolution spatial–temporal environmental data (sedimentation, meltwater flows, vegetation changes, landslides).
- Process and analyse geospatial datasets, including 4D point clouds from UAVs and TLS, integrating them into adaptive design frameworks.
- Develop physical and digital prototypes informed by AI-enhanced simulations and dynamic environmental data.
- Work closely with the project’s Postdoctoral researcher to test generative design workflows using machine learning (ML) and deep learning (DL) techniques, such as generative adversarial networks (GANs), and other emerging AI methods.
- Participate in funded international research visits to ETH Zurich, MIT Media Lab, and NMBU.
- Publish in peer-reviewed journals and present at international conferences, exhibitions, and stakeholder workshops.
- Principal Investigator (PI): Associate Prof. Pia Fricker, specialist in computational design and adaptive landscape and territorial systems.
- The ADAPT Postdoctoral researcher, focusing on AI-driven generative design methods.
- International partners at ETH Zurich, MIT Media Lab, and NMBU, providing expertise in geospatial modeling, immersive technologies, and glacial environmental dynamics.
- A Master’s degree in architecture, landscape architecture, computer science, environmental science, ecology, or a related field.
- Experience with AI/ML/DL techniques (e.g., generative adversarial networks, convolutional neural networks, or other emerging methods) for generative or analytical purposes, and willingness to deepen and broaden these skills.
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Skills in at least one of the following, and readiness to develop expertise in the others during the doctoral research:
- Computational design and 3D/4D modeling (e.g., Rhino/Grasshopper, Unity, Blender).
- Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS.
- Environmental data collection and analysis.
- Readiness to learn complementary skills, for example, environmental scientists learning computational design, or designers learning environmental field methods.
- Willingness to participate in fieldwork in potentially challenging environments.
- Excellent English skills (written and spoken).
- A fully funded, full-time doctoral position (estimated duration is approximately 3.9 years depending on the start date, with the employment ending no later than August 31, 2029) with an initial two-year contract (mid-term evaluation for continuation), starting salary EUR 3,075/month.
- The opportunity to work on a high-impact, international research project addressing urgent climate adaptation challenges.
- Funded research visits to ETH Zurich, and NMBU, and participation in fieldwork in Norwegian glacier environments.
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Access to state-of-the-art facilities, including UAVs, terrestrial laser scanning equipment, immersive VR/AR labs (MAGICS infrastructure), and computational design studios for immersive data simulation.
- Mentoring in academic publishing, networking, and interdisciplinary skill development.
- A vibrant, international campus in Otaniemi with excellent public transport connections, green surroundings, and an active research community.
Please submit your application through our recruitment site (“Apply now!”) no later than 23:59 (EET) on 30 September 2025. We aim for the selected candidate to start no later than December 2025, with an earlier start possible by agreement.Your application should include:
- A motivation letter (max. 2 pages) explaining your interest in the position and how your background fits the role.
- Your CV, including contact information for two referees.
- Publication list.
- Relevant degree certificates and academic transcripts.
- A portfolio of previous work (design, computational, or research projects, as relevant).
For questions related to the application process: hr-arch@aalto.fi
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