The Interdisciplinary Transformation University (IT:U) in Austria is offering a fully funded PhD position in CubeSat Design & Sensing, focusing on embedded sensors and CubeSat architectures for Earth observation missions. This opportunity is part of the IT:U Doctoral School’s COMPUTATIONAL X PhD program and is based in Linz, Austria, with a start date in March 2026. The position is supervised by Professor Michele Magno, principal investigator and head of the Smart Sensing and Systems Lab (S³ Lab).

The research project centers on the design, prototyping, and validation of innovative embedded sensor nodes and their integration into CubeSat platforms. The successful candidate will work on energy-efficient and real-time sensing solutions for space-based Earth observation, contributing to the next generation of CubeSat technologies. Key research areas include the design and integration of advanced sensors (optical, radar, hyperspectral, event-based cameras), hardware-software co-design for CubeSat subsystems, onboard embedded AI for intelligent data selection and compression, development of low-power architectures and novel materials, and optimization of payload and sensor node design. Experimental validation will be conducted using prototypes and lab-based CubeSat demonstrators.

The position offers a dynamic, interdisciplinary research environment with opportunities to collaborate on cutting-edge CubeSat prototypes and real-world space demonstrators. IT:U provides access to a strong academic and industrial network in embedded AI, space sensing, and Earth observation technologies. The PhD program is structured over four years, beginning with focused group work, research lab modules, and project-integrated courses, followed by thesis development, interdisciplinary seminars, and project assistant work. The program concludes with the submission and defense of the PhD thesis.

Applicants should have a master’s degree or equivalent in electrical engineering, computer science, or a related field, with strong programming skills and experience in hardware-software co-design. Familiarity with deep learning frameworks (TensorFlow, PyTorch) and knowledge of spiking neural networks and compartmental models are advantageous. Fluency in English (CEFR C1 or equivalent) and the ability to work independently are required. The position offers a competitive gross salary starting from EUR 3,714.80 per month (full-time, 40h), as well as the Austrian KlimaTicket Ö for unlimited public transport within Austria. Additional benefits include a collaborative and inclusive work environment, office kitchen with complimentary supplies, and support for conference attendance and academic development.

To apply, candidates must submit an online application at https://apply.it-u.at/, including a CV, bachelor’s and master’s diplomas and transcripts, motivational letter, and up to three contacts for recommendations. For questions or expressions of interest, applicants may contact Professor Michele Magno at [email protected] with their CV prior to applying. The application deadline is January 31st, 2026. IT:U values diversity and encourages applications from all backgrounds.