PhD position in Deep Learning for biodiversity monitoring in Essen, Germany

The University of Duisburg-Essen is accepting applications for a PhD position in Computer Vision / Deep Learning in the Faculty of Biology, working group Phycology

The post belongs to a research project entitled “DNAquaIMG: Innovating transnational aquatic biodiversity monitoring using high-throughput DNA tools and automated image recognition”.

Roles and responsibilities include :-

  • Training and application of deep neural network models for diatom image segmentation and classification.
  • Statistical analysis.
  • Organization and supervision of diatom image annotation activities by taxonomic experts.
  • Diatom imaging by slide scanning light microscopy.
  • Contact and communication with stakeholders.

Required qualifications include:-

  • Talented and enthusiastic candidates with high interest in the research topic.
  • Above average university degree of at least 8 semesters in bioimage informatics, bioinformatics, computer vision, biology with a focus on in silico methods, computer science in biological fields of application, or equivalent.
  • Demonstrated experience with computer vision and machine learning, ideally including deep learning.
  • Strong programming skills in at least one programming language (Python, R, etc.).
  • Previous exposure to applications of image analyses to biodiversity research is preferable.
  • Experience in web development (HTML, Javascript, PHP, databases) is beneficial.

Application deadline: 3rd January, 2024

For more information regarding the job position and the application process, please refer to the link below:-