New affordable in-situ sensors are part of the Internet of Things (IoT) and enable us to build denser environmental sensor networks that measure phenomena more efficiently which vary greatly in space and time, such as air or noise pollution. However, such dense wireless sensor networks can put additional strain on bandwidth in areas with less network coverage, and they threaten citizens' privacy. One solution is to move the processing and analysis of collected geodata to the sensors. This type of edge computing has been made possible by advances in deep learning methods on embedded hardware, e.g., Tensorflow Lite for microcontrollers.

You will support our ambitions by working together with colleagues from several departments on projects that use small, affordable sensors (embedded devices) to collect environmental data and submit this data wirelessly. This position will therefore advance our understanding of processing geodata on the (network) edge and combine different geodata sources (remote and in-situ) in reproducible, distributed (networked) workflows. More specifically, you will advance the state-of-the-art in embedded devices and Internet of Things technologies (hardware platforms, network protocols) by designing software solutions for environmental sensing using diverse open hardware platforms, adapting and implementing major developments in the application of machine learning / AI on embedded devices, and propose and implement new workflows that incorporate IoT technology in research and capacity development projects.

• A relevant diploma in a related field (e.g., software development, computer science) proving knowledge and skills at HBO (higher vocational/professional education) level or university level
• Experience in assembling and running devices built with embedded hardware (e.g., Arduino, Nvidia Jetson (Nano))
• Experience or demonstrable potential with AI-based edge computing for analysis-ready data production from IoT sensors
• Programming skills to develop custom open-source solutions for those devices (e.g., C++, Python)
• Good command of English (both in speech and writing)
• Good interpersonal skills (i.e., adapting to content and target audience)
• A pro-active teamwork mentality with good coordination skills

• An inspiring multidisciplinary, international and academic environment. The university offers a dynamic ecosystem with enthusiastic colleagues in which internationalization is an important part of the strategic agenda
• Position for initially one year (full-time), after which your position can become permanent, subject to a successful evaluation
• Gross monthly salary between € 3.226,- and € 4.036,- (depending on experience and qualifications, job profile Developer ICT level 3). This is the maximum start salary with growth opportunities
• A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%
• Excellent support for professional and personal development
• A solid pension scheme
• A total of 41 holiday days in case of full-time employment
• Costs for moving to Enschede may be reimbursed

The Department of Geo-information Processing (GIP) is a multi-disciplinary scientific department that develops computational methods for processing spatiotemporal data, which in turn are used to build models, visualizations and information systems to improve our understanding of dynamic spatial systems and to help in decision-making at multiple spatial and temporal scales. GIP is not tied to a single application domain but develops generic geo-information and geo-products that are widely applicable.