Post-doc in Machine Learning for Image Processing on Embedded Devices - Groningen, Nederland - Rijksuniversiteit Groningen

Beschrijving

Job description

The position is intended for two years with a start date as early as possible, before the end of June 2024. The postdoctoral candidate will conduct research in the field of Machine Learning, Image Analysis, Pattern Recognition, and Embedded AI. The candidate is expected to (i) conduct research related to dataset acquisition of plant images using a variety of camera setups including RGB, RGBI, multispectral, and hyperspectral cameras, (ii) investigate the relevance of each data modality, (iii) develop methods capable of classifying images containing healthy and stressed crops, (iv) adjust the models for deployment on a variety of edge devices, (v) and evaluate the performance of final deployments. The project requires interacting with a large consortium of academic and industrial partners and culminates by demonstrating the final product usable by our industrial partners. This setup provides the opportunity for an impactful and highly dynamic postdoctoral research experience leading to publication of academic research articles while working on an industry-relevant problem of high societal relevance.

Organisation
Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 34,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world (see our ranking: , the University of Groningen is truly an international place of knowledge. Within the Faculty of Science and Engineering (FSE), the Engineering and Technology institute Groningen (ENTEG) conducts engineering science research and covers a broad area of mechanical engineering, electronic materials and MEMS, nanotechnology, control engineering, and robotics.

This current postdoctoral project is a collaborative project between the Discrete Technology and Production Automation (DTPA) group, hosting Dr. Bahar Haghighat, and the Intelligent Systems Group, headed by Prof. Dr. Kerstin Bunte and hosting Dr. Michael Wilkinson. The Embedded AI/ML research thrust within DTPA research group led by Dr. Bahar Haghighat focuses on the development of embedded machine learning solutions that can be deployed on low-power low-memory embedded devices.

Qualifications

have a PhD degree in Mathematics, Computer Science, Electrical Engineering, or another related field with strong mathematical training

excellent research qualities, as evidenced by a publication record in international peer-reviewed journals and renowned conferences, and a relevant international network

a dynamic, respectful, and pioneering professional attitude

ability to work independently and with colleagues

strong problem-solving ability

strong cross-cultural sensitivity and strong communication skills

able to communicate and teach in English. Knowledge of Dutch is an advantage but not obligatory.

Organisation

Conditions of employment

We offer you in accordance with the Collective Labour Agreement for Dutch Universities:

a salary from a minimum of € 3,877 gross per month up to a maximum of € 5,090 gross per month (salary scale 10) based on a full-time position and dependent on qualification and work experience

a holiday allowance of 8% gross annual income

an 8.3% end-of-the-year allowance

a position is available for 1 year with a possibility of extension.