The Discrete Technology and Production Automation (DTPA) group of Groningen University is looking for a highly motivated and independent postdoctoral candidate with a background in mathematics, machine learning, and/or embedded devices who is excited to work in an interdisciplinary environment.
They are looking to fill a two-year postdoctoral researcher position as a part of the Northern Netherlands Partnership (SNN)-funded project through DigiAgro3 2024. The main goal of the post-doc project will be to develop machine learning models capable of robustly classifying images of agricultural crops based on markers for the health state of the crop and deploying those models on a variety of low-power edge devices. The goal of the project is to enable precision farming practices, with a focus on sustainable and robust methods.
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 the publication of academic research articles while working on an industry-relevant problem of high societal relevance.
Tasks
The postdoctoral candidate will conduct research in the fields of machine learning, image analysis, pattern recognition, and embedded AI. The candidate is expected to
- conduct research related to dataset acquisition of plant images using a variety of camera setups, including RGB, RGBI, multispectral, and hyperspectral cameras.
- investigate the relevance of each data modality,
- develop methods capable of classifying images containing healthy and stressed crops,
- adjust the models for deployment on a variety of edge devices, (v) and evaluate the performance of final deployments.
Duration: 1 year with a possibility of extension.
Salary
In accordance with the collective labor agreement for Dutch Universities, they offer: The University of Groningen offers,
- a salary from a minimum of € 3,877 gross per month up to a maximum of € 5,090 gross per month based on a full-time position and dependent on qualification and work experience
- a gross holiday allowance of 8% and a gross 8.3% year-end bonus
Job Requirements
The eligible candidate for the Machine Learning for Image Processing on Embedded Devices position should meet the following criteria
- 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
- ability to communicate and teach in English. Knowledge of Dutch is an advantage but not obligatory.
Application Process
Applications for the postdoc position should include:
- CV which includes a full list of publications
- transcript that shows the grades for all the math modules
- motivation letter (1 page)
- research statement (1-2 pages)
- copy of the PhD diploma or estimated time of graduation
- contact details of 3 academic references.
To apply for the Post-Doc in Machine Learning for Image Processing on Embedded Devices, click here.
Deadline: April 14, 2024.
For more information on Post-Doc in Machine Learning for Image Processing on Embedded Devices, visit the official site.
