Postdoctoral Fellowship (05) at NTNU, Norway

We have a vacancy for a senior researcher to contribute to externally funded projects at the Department of engineering cybernetics at the Norwegian University of Science and Technology in Trondheim.

The SmallSatLab at NTNU conducts research on satellite systems, including payload development, mission design, system engineering and integration, satellite control and operations, data analysis and algorithm development for a wide range of applications in remote sensing, data communication and localization. The lab currently operates two own satellites – the HYPSO-1 and -2 – while several new concepts and payloads are under development for new satellite missions. Research is currently centered around hyperspectral imaging (instruments, data processing algorithms and applications), satellite-based maritime surveillance and security, and integrated systems-of-systems where small satellites interact closely with autonomous systems, drones and other assets and data sources for advanced observation missions.

The researcher will conduct research in externally funded projects in the areas mentioned above, and assist the SmallSatLab with developing such projects. We are looking for candidates that have a broad interest, competence and experience in the field of small satellite systems, and with expertise in one or more of the following areas: Embedded systems hardware and software; system engineering; system integration and testing; navigation and localization; hyperspectral imaging and systems; data processing; maritime surveillance. The researcher will be a key resource in project teams where he or she will interact with other researchers, industry and government agencies.

Cardiovascular diseases are highly heterogeneous, and current clinical classifications often fail to capture the underlying complexity. Echocardiography is the primary imaging modality in cardiac care and provides rich, high‑resolution information on cardiac structure and function. However, routine workflows typically extract only a fraction of the available information, and many quantitative parameters remain underutilized or inconsistently recorded. As a result, large-scale imaging datasets contain substantial latent diagnostic and prognostic information that is currently not leveraged in clinical practice. Advances in artificial intelligence now enable automated and standardized echocardiographic measurements with high accuracy and reproducibility, including the ability to re‑analyze entire imaging archives while accounting for image quality and operator variability. These methods create new opportunities for large-scale, data‑driven phenotyping and improved characterization of disease mechanisms and progression. 

The postdoctoral project focuses on development of advanced AI methods for longitudinal and multimodal analysis of echocardiographic data, integrating imaging features with clinical metadata and outcomes. We have access to a unique large-scale dataset comprising more than 150,000 patients with corresponding metadata and follow‑up information, enabling robust modeling of disease trajectories and risk profiles. By exploiting these resources, we seek to generate deeper insights into cardiac disease complexity, improve risk stratification, and enhance the clinical utility of echocardiography in everyday patient care.  

With this exciting, fully funded 3-year postdoctoral fellowship, we aim to achieve breakthrough advances in tracking gene spreading in microbiomes and unravel its role in the emergence of new metabolic properties and phenotypes. 

The MiGeneX project will implement microbiome science and engineering principles and develop innovative molecular and bioimaging methods for tracking the transfer and utilisation of genetic materials across microbial populations, from controlled synthetic co-cultures to complex communities. While addressing fundamental research questions at the microbial community level, the research will generate impactful results for microbial ecology, antimicrobial resistance, and related fields of microbial importance.

The position requires a high level of scientific creativity and a combined wet-lab and dry-lab skill set to interrogate environmental and health-associated microbiomes. The successful candidate will explore genetic, metabolic, and phenotypic traits at high resolution in microbial consortia, applying approaches from microbial community engineering, systems microbiology, synthetic biology, bioinformatics, and computational biology.

You will join the research group of Prof. David Weissbrodt within the Microbial Biotechnology division at IBT. The position offers extensive opportunities for cross-disciplinary collaboration within the division and department, and with partner units in Biology, Clinical and Molecular Medicine, and beyond. Strong connections to NTNU’s Strategic Research Areas in Health & Life Science and Ocean & Coast further enhance the collaborative environment.

Our laboratories are equipped with state-of-the-art infrastructure, methodologies and techniques for experimental, analytical, and computational research in microbiome science and microbial biotechnology. This includes advanced capabilities in microbiology, molecular biology, biochemistry, bioimaging, microbial cultivation, bioprocess engineering, analytical chemistry, mass spectrometry, multi-omics, bioinformatics, and microbial models.

Would you like to contribute to enabling risk-aware collaboration between autonomous systems and human supervisors?

The Department of Marine Technology has a vacant 3-year Post Doc position at the Faculty of Engineering in fundamental research on supervisory risk control and decision support for autonomous systems. The position is funded by the ERC AdG Breach, and will focus both on researching theory and performing experiments. The goal of Breach is to realize risk-based rationality in autonomous systems to achieve more proactive and intelligent behaviours, improve system safety, and leave the human supervisor with enough time to react and intervene efficiently when needed. 

The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. 

We invite applications for a Postdoctoral position in system-level analysis of deep-learning acceleration at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position is supported by the EU Horizon project CIRES and offers the opportunity to work on cutting-edge research at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems through close interaction with academic and industry partners within the CIRES project.

Are you ready to take your research career to the next level? We offer an exciting 3 or 4-year postdoctoral position that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant for your further career.
The purpose of a postdoctoral position is to build up a researcher profile that qualifies for a position as associate professor. The position may also offer additional skills that are relevant to the postdoctoral fellow’s future career.