Assistant Professor in Pervasive Systems (Sensing Systems & Data Analytics)
Are you interested in developing sensing systems and data analytics that drive a smarter, more sustainable, and more connected world? We are looking for a collaborative, motivated, and enthusiastic Assistant Professor to strengthen our Pervasive Systems group.
We seek a colleague who builds sensing systems, from sensing and embedded devices, through the movement and processing of data, to intelligence at the edge, and who is equally motivated to bring that expertise into the classroom. This is a balanced research and education position for someone who wants both to grow their own research line and to shape how the next generation of (research) engineers learns to build pervasive, sensing-driven systems. The balance is approximately 50/50 between research and education, and the education share can be higher for a candidate with a stronger education focus.
What you will do:
- Research with impact: You will develop your own research line in sensing systems and/or the analysis and processing of sensor data, for example building and deploying sensing systems (wearable, ambient, RF, distributed), edge and on-device data processing and machine learning, resilient distributed architectures for sensing, sensor-data fusion and analytics, or the orchestration of sensing, computation and communication across the device–edge–cloud continuum. You will have the freedom to define your own accents while connecting to and strengthening the themes and vision of the Pervasive Systems group.
- Acquisition & supervision: You will (grow toward) acquiring your own research funding, supervising PhD, EngD and MSc students, and contributing to the group’s scientific output and collaborations.
- Inspiring education: You will take a full and valued role in our teaching. You will teach and coordinate in our BSc programmes, including Creative Technology (CreaTe) and Technical Computer Science (TCS), and in our MSc programmes (including EMSYS, CS), develop course material, and supervise thesis projects.
- Collaboration & academic citizenship: You will work in a multidisciplinary, systems-oriented environment, contribute to group flagships such as our sensing benchmarks and pilot deployments across different application domains, and take part in the group’s academic and organisational life.
Information and application
Are you interested in joining us? Please submit your application before October 28, via the “Apply Now” button, including:
- A curriculum vitae (including qualifications and a list of publications);
- A cover letter (max 1 page) describing your motivation and how you would see your research and teaching developing within the group;
- A short research and teaching vision (max 2 pages), in your own words, outlining the line you would build and what you would want to teach. We value authentic, concise statements over polished length;
- Reference letters (minimum 2, one from your PhD supervisor).
The selection process comprises an initial short interview round followed by a second-round assessment, which includes a research presentation and meetings with the group. The initial interviews are scheduled to be conducted online on November 10 and 11.
Incomplete applications that lack any of the listed requirements will be automatically rejected. We also ask for minimal AI use in document preparation.
For questions, you are welcome to contact Özlem Durmaz-Incel (Chair of Pervasive Systems) via ozlem.durmaz@utwente.nl.
Screening is part of the selection process.
About the department
You will be employed by the University of Twente, based at our Enschede campus, where the Pervasive Systems group, its labs, and testbeds are located. You will join the Pervasive Systems (PS) research group within the Department of Computer Science. PS envisions a sustainable world achieved through the seamless integration of computing and the physical environment. We are a systems group: we design collaborative, embedded sensing systems that interact unobtrusively with their surroundings, and we build scalable, adaptable, and trustworthy systems that perform reliably despite resource constraints, validated end-to-end in the physical world. Our vision moves sensing beyond isolated devices: we treat different sensing modalities from wearables, ambient devices, infrastructure, and the network itself as one programmable, resilient, context-aware system. You will work in a lively, inspiring, and international group where you have independence but are never alone, with access to our earable hardware lab, testbeds, an open-science and public-datasets culture, national research infrastructure, and project consortia (including Horizon Europe and NWO).
About the organisation
The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.
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