**Job Description**
Seeking a talented and creative researcher for an NWO-funded project focused on developing next-generation algorithms for high-speed super-resolution microscopy. This fully funded position involves designing, developing, and implementing novel computational methodologies, creating and applying sophisticated algorithms, physics-based simulations, and machine learning models to process complex imaging data. The role focuses on translating raw optical signals into clear, quantitative insights, solving challenges in image reconstruction, data analysis, and interpretation to revolutionize high-speed super-resolution imaging through computational innovation.
**Skills & Abilities**
• Practical experience in scientific programming (e.g., Python, MATLAB, C++)
• Algorithm development
• Analysis of complex, large-scale datasets
• Image processing
• Machine learning
• Strong motivation to develop and apply cutting-edge computational methods (advanced data analysis, signal/image processing, pattern recognition)
• Independent, well-organized, and reliable work style
• Ability to thrive in a collaborative, interdisciplinary team
• Excellent interpersonal and communication skills
• Keen interest in applying computational techniques to scientific imaging and contributing to an interactive lab culture
**Qualifications**
Required Degree(s) in:
• Computer Science
• Physics
• Applied Mathematics
• Electrical Engineering
• Data Science
• Related quantitative discipline
**Experience**
Other:
• Completed Ph.D. degree in a quantitative field
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