Assistant Professor in Pervasive Systems (Sensing Systems & Data Analytics)

Job description

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.

Requirements

• You hold a PhD in Computer Science, Electrical Engineering, or a related field.
• You have a strong scientific track record in sensing systems and/or sensor-data analytics, with publications in relevant venues, for example SenSys, MobiSys, MobiCom, INFOCOM, IPSN, EWSN, PerCom, IMWUT/UbiComp and the corresponding IEEE/ACM journals.
• You have proven experience with real sensing systems and sensor data, systems that were built, deployed, and evaluated, and data that was processed and analysed, not only simulated. Relevant strengths span embedded and edge platforms, networking, distributed systems, data pipelines, and on-device machine learning.
• You show evidence of, or clear potential for, acquiring research funding and supervising students, and you are ready to develop an independent line within the group.
• You enjoy teaching and coordinating at both bachelor and master level and are motivated to communicate your field to students. Some teaching experience is welcome, and a genuine commitment to education is important for this position.
• You hold a University Teaching Qualification (UTQ/BKO) or are willing to obtain one within three years with our support.
• You are a team player who wants to connect and strengthen the group’s research lines rather than work beside them.
• You are fluent in English and have good communication and social skills. If you do not speak Dutch, a willingness to learn is an advantage.

Additional information

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.