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R&D Engineer: Low-Power NeuroAI Processor Design for Smart Lab-on-Chip Devices (Masters/PhD thesis)


Consejo superior de investigaciones cientificas


Location

Cerdanyola del Vallès, Barcelona | Spain


Job description

Integrated microanalytical systems are poised to enable ubiquitous (bio)chemical fluid assessment, and to have a revolutionary impact on the prevention of key health and sustainability threats of our time. In these systems, the use of electrochemical sensor arrays stands out due to their capability to generate multivariate data from liquid samples, enlarging the number of chemical properties that can be determined simultaneously. To manufacture the arrays, microsensors fabricated in semiconductor technologies offer advantages such as miniaturization, robustness, mass fabrication, and ease of integration with electronic circuits for embedded artificial intelligence, making them particularly suitable for advanced monitoring at the point of interest.

In this project, you will collaborate with a multidisciplinary team with expertise in neuroscience, computer science, chemistry, and microelectronics to develop cutting-edge solutions with intelligent microanalytical capability in a single miniaturized lab-on-chip. Your specific objective will be to apply the latest research advances in neuroscience and machine learning into integrating brain-inspired, digital deep neural network processors to accelerate chemical perception on chip. Your novel chips will be validated in real industrial and medical applications linked to ongoing European and National R&D projects.

Your tasks:

Your profile:

What we offer:

Application procedure:

If you identify with this offer please contact Dr. Josep Maria Margarit-Taulé by sending the following information to [email protected]:

CSIC is committed to creating equal opportunities for people, independently of gender, culture, and race. Anyone with relevant qualifications is therefore strongly encouraged to apply for the position.


Job tags

Tiempo completo


Salary

de 30000 a 35000 €/año

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