PhD Scholarship Cell Sensors for Brain-inspired Smart Lab-on-a-chips

Applicants are invited to apply for a PhD scholarship in mechanical engineering at Eindhoven University of Technology. Applicants should apply as soon as possible.

Eindhoven University of Technology, Department of Mechanical Engineering and Institute for Complex Molecular Systems has a vacancy for PhD student Cell sensors for brain-inspired smart lab-on-a-chips

The Department of Mechanical Engineering considers as the core of their activities design, realization and analysis of new products, processes and materials. Besides the basis of (solid and fluid) mechanics, materials, control and thermodynamics, parts of mathematics, physics, chemistry and computing science are important supporting tools. The field is explored by a combination of modeling using fundamental concepts and applied engineering and technology. Automotive Engineering Science and Micro- amp; Nano-Scale Engineering are important departmental themes. The Mechanical Engineering Department comprises about 1000 students and 250 staff members.

Brain-inspired (neuromorphic) computing has recently demonstrated major advancements in pattern and image recognition as well as classification of unstructured (big) data. Today software systems known as neural networks can not only classify images and predict optimised routes but are also implemented in driverless cars and translating languages.

However, despite a number of notable examples in which neural networks are implemented in healthcare, such as recognizing skin cancer from images, the unprecedented efficiency and wide applicability of machine-learning combined with dedicated neuromorphic computing, has not been demonstrated to date. This can open up a new multi-disciplinary field of research with numerous pioneering point-of-care applications. We will exploit the remarkable efficiency of neural networks in a dedicated lab-on-a-chip to recognize and classify biological cells.

To create a microfluidic chip with integrated sensors to detect and classify biological cells using machine-learning

The fabrication and operation of different sensor types such as impedance, optical and mechanical detectors will be primarily investigated. The project will be done in close collaboration with other group members working on the development of the dedicated neuromorphic part of the biosensor, used for training and learning of the signals from the sensors.

We are looking for a candidate with a background in materials science, microsystems engineering, electrical engineering, applied physics or other relevant discipline. Given the multidisciplinary character of the proposed research the ideal candidate has experience in device physics, biological cells and microfluidics. Furthermore, the candidate has a hands-on attitude, experimental experience and can work independently as well as collaborate with others.

The PhD student will be directly supervised by prof. Yoeri van de Burgt, assistant professor in Neuromorphic Engineering, within the Microsystems section, headed by prof. Jaap den Toonder. Microsystems is part of the Institute for Complex Molecular Systems (ICMS). The Microsystems section manages the Microfab lab, a state-of-the-art micro fabrication facility that houses a range of micro-manufacturing technologies. The project will part of the ERC project BIOMORPHIC and done in close collaboration with prof. Rene Janssen (Chemistry, TUE) as well as in collaboration with prof. Salleo at Stanford University (USA) and prof. Malliaras at University of Cambridge (UK).

Gross monthly salaries are in accordance with the Collective Labor Agreement of the Dutch Universities (CAO NU), increasing from 2.266 per month initially, to 2.897 in the fourth year. An attractive package of fringe benefits (including excellent work facilities, end of the year allowance and sport facilities).

Further information can be obtained from: Dr. Yoeri van de Burgt, phone +31 40 247 4419 |

Applications must include a personal motivation letter, a Curriculum Vitae including the names and contact details of at least two references, and an overview of current research activities and interests (1-2 pages). Only complete applications will be considered. Consideration of the candidates will begin immediately, until the position is filled.


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