PhD Student – Embedded Sensors and CubeSat Architectures for Earth Observation Missions Interdisciplinary Transformation University (IT:U) in Austria

Interdisciplinary Transformation University (IT:U), Austria’s first public interdisciplinary university dedicated to digital transformation, invites applications for a PhD Student position in CubeSat Design & Sensing. The project, titled “Embedded Sensors and CubeSat Architectures for Earth Observation Missions,” is part of the IT:U Doctoral School PhD Program COMPUTATIONAL X. The successful candidate will join a dynamic research environment in Linz, Austria, working under the supervision of Fellow Professor Michele Magno.

This PhD project focuses on the design, prototyping, and validation of innovative embedded sensor nodes for CubeSat platforms, targeting energy-efficient and real-time sensing for space-based Earth observation. Research directions include the integration of optical, radar, UWB, hyperspectral, and 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 performed on prototypes and lab-based CubeSat demonstrators.

The position offers opportunities to collaborate on cutting-edge CubeSat prototypes and real-world space demonstrators, and to engage with a strong academic and industrial network across embedded AI, space sensing, and Earth observation technologies. The PhD program is structured over four years, with the first year emphasizing group work, research lab modules, and Project Integrated Courses (PICS), culminating in a PhD Proposal Presentation. Subsequent years focus on thesis development, interdisciplinary seminars, and project assistant work, concluding with thesis submission and defense.

Responsibilities include conducting research, writing academic publications, attending conferences, collaborating with interdisciplinary research groups, performing auxiliary teaching activities, and assisting with third-party funding applications. The position is part-time (30h/week) with a gross salary of EUR 2,832.10 per month, in line with FWF standards. Optional supplementary contracts for teaching or research (up to 10 hours) may be discussed. Additional benefits include the Austrian “KlimaTicket OÖ” for unlimited public transport within Upper Austria and access to an office kitchen with complimentary supplies.

Applicants must have a master’s degree or equivalent in electrical engineering, computer science, or a relevant field, strong programming skills, and a solid understanding of hardware-software co-design. Experience with deep learning frameworks (TensorFlow, PyTorch) is ideal, and knowledge of spiking neural networks and compartmental models is a plus. Fluency in English (CEFR C1 or equivalent) and independent work skills are required. Only candidates whose background closely matches the requirements should apply.

To apply, submit your application via the official portal, including CV, diplomas, transcripts, motivational letter, and up to three contacts for recommendations. For clarifications, contact Professor Magno at [email protected] before applying. Applications sent by email will not be considered. The position remains open until filled, with a final deadline of 30 April 2026. Early applications are encouraged as review is rolling.

IT:U values diversity and encourages applications from all backgrounds. The research environment is innovative, interdisciplinary, and international, offering stimulating conditions for academic growth and contribution to next-generation CubeSat sensing systems for Earth observation.