PhD position on deep symbolic AI for microfabricated fluidic sensors
Do you want to work at the forefront of research and development in a highly relevant area of deep symbolic AI for tiny sensors? Would you like to collaborate with researchers with expertise in a scientific field outside of deep learning to build AI systems that can perform previously impossible tasks? Do you like to work together with leading industry and make your scientific work turn into real systems? Then this might be the vacancy you have been looking for!
For many medical and industrial applications, there is a need for versatile microfluidic sensing systems that are able to extract more information from fluid mixtures than currently possible. By using microfabrication technologies, multiple sensors – e.g. for flow rate, pressure and density – can be integrated into a single chip. To calculate e.g. the viscosity from the flow rate and pressure, conventional data processing methods involve filtering the raw sensor signals, and calibration of the individual sensors and physical models. These methods are time-consuming, not always applicable, and leave potentially relevant information undiscovered. Therefore, it is now a necessity to explore recent work in symbolic Artificial Intelligence (AI) to overcome these limitations and allow for real-time fluid data processing by using a combination of deep neural networks and physics in flow sensing.
The goal of this project is the realization of a demonstrator system containing multiple sensing structures together with a trained neural network, which outperforms the state-of-the-art multiparameter systems for real-time quality control of products made in chemical or pharmaceutical microreactors, or in the food industry.
The Pervasive Systems research group at the University of Twente is looking for a PhD candidate to perform research and development on a multidisciplinary project involving deep symbolic AI and microfabricated fluidic sensors.
The main research activities are:
- Conduct research in deep symbolic AI for microfabricated fluidic sensors, including but not limited to designing and implementing lightweight but accurate algorithms and models, conducting experiments, analyzing data, and interpreting results.
- Collaborate with the team to develop and optimize microfabrication processes for the sensors.
- Develop and test new sensor designs and configurations, and evaluate their performance.
- Write technical reports and research papers for publication in top-tier journals and conferences (Percom, Ubicomp, IJCAI, AAAI, NIPS, ICML).
The candidate is expected to collaborate with project partners including the Integrated Devices and Systems (IDS) group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), at the University of Twente in the Netherlands.
Information and application
Are you interested in this position? Please send your application via the 'Apply now' button below before 21 October 2023, and include:
- A cover letter (maximum 1 page A4), emphasizing your specific interest, qualifications, motivations to apply for this position.
- A Curriculum Vitae, including a list of all courses attended and grades obtained, and, if applicable, a list of publications and references.
For more information regarding this position, you are welcome to contact Dr. Le Viet Duc (v.d.le@utwente.nl)
Interviews are scheduled on the 20th of November.
About the department
The candidate will work at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in the Netherlands.
Pervasive Systems are systems composed of a network of collaborative sensing, computational, and reasoning components that are highly embedded in and actively – yet unobtrusively – interact with the environment. Our system-oriented research is inspired by real problems, which makes multi-disciplinary collaboration natural. Our research has high societal and economic impacts in various applications in the area of Smart Urban, Smart Life, and Smart Industry such as environmental monitoring, ecology, ambient assisted living, agriculture, transport and mobility, smart industry, supply chain management, health, sports, asset management, predictive maintenance, and smart cities.
The candidate is expected to collaborate with project partners including the Integrated Devices and Systems (IDS) group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), at the University of Twente in the Netherlands.
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 people-first 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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