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Valentas Gružauskas

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Postdoctoral Fellowship in Uncertainty-Aware Foundation Models for Earth Observation Vilnius University in Lithuania

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 7, 2026

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Country

Lithuania

University

Vilnius University

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Keywords

Computer Science
Environmental Science
Information Technology
Deep Learning
Remote Sensing
Computer Vision
Earth Science
Uncertainty Analysis
Earth Observation
Semantic Segmentation
Multi-task Learning
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About this position

Vilnius University is offering a Postdoctoral Fellowship in Uncertainty-Aware Foundation Models for Earth Observation at the Institute of Computer Science, Faculty of Mathematics and Informatics, within the AI Methods Lab in Vilnius, Lithuania.

The project focuses on research into uncertainty-aware foundation models and vision-language models for Earth observation, multi-task environmental monitoring, and trustworthy geospatial AI. The successful candidate will work on methods for making large-scale environmental models not only accurate, but also reliable and well-calibrated. Research directions include deep ensembles, Bayesian and evidential approaches, conformal prediction, and post-hoc calibration; adaptation and benchmarking of Earth observation foundation and vision-language models; and multi-task applications such as land-cover mapping, semantic segmentation, classification, change detection, and climate-related analyses.

The fellowship is hosted in a multidisciplinary and collaborative environment with international partners. The postdoctoral researcher will work with heterogeneous remote sensing and in-situ data, including Sentinel, Landsat, and MODIS archives, along with environmental variables, geospatial metadata, and sensor/IoT streams. The project also emphasizes robustness, transferability, and uncertainty calibration across tasks, sensors, regions, and changing acquisition conditions.

Supervision is planned by Assoc. Prof. Dr. Valentas Gružauskas, with collaboration possibilities involving Assoc. Prof. Linas Petkevičius. The research group is based at the AI Methods Lab and is connected to work on remote sensing and new foundation vision-language models. The broader context includes reproducible experimentation, HPC-based PyTorch pipelines, open-source release, and scientific publication in high-impact venues.

This is a full-time temporary postdoc position for 12 months. The monthly salary is €3,634.00 gross before tax. Candidates must be able to work in Lithuania at the premises of Vilnius University; remote-only candidates will not be considered.

Eligibility requirements include a doctoral degree, preferably awarded by a foreign institution or by a Lithuanian science institution other than Vilnius University, and the PhD must normally have been awarded no more than five years ago (with formal extensions possible for documented parental leave). Applicants should have strong expertise in deep learning, computer vision, remote sensing, or multimodal AI, plus experience with Python, PyTorch, satellite imagery or geospatial data, and English at B2 level or higher. Publications in machine learning, AI, or computer vision are expected. Experience in mentoring or grant writing is an advantage.

Applications must be submitted by email with the official Vilnius University application form and mandatory attachments: CV, list of publications (up to 10 key items), and a copy of the PhD diploma. The email subject line must state exactly postdoctoral fellowship.

Application deadline: 7 September 2026, 23:59 (Europe/Vilnius).

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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