Job offer: Post-doc in biomedical image analysisWe are seeking candidates who are interested in developing deep learning algorithms for improving the registration/alignment of our 2D/3D MRI and microscopy images.
Job descriptionThe selected candidate will join the interdisciplinary Brain/MINDS project which aims at studying the neural networks controlling higher brain functions in the marmoset, to gain new insights into information processing and diseases of the human brain.
As a member of the project, the selected candidate will contribute to the development and implementation of image processing and image analysis techniques with a focus on biomedical image data. We are seeking candidates who are interested in one of these topics:  Developing deep learning algorithms for 2D/3D image registration/alignment.
 Tracking the morphology of single neurons over time.
 Automated tracing of neurons in large 3D image data.
The work will be done in a highly interdisciplinary research group consisting of scientists from the neural-scientific and medical research fields. The emphasis is on developing cutting-edge technologies that improve current state-of-the-art and publishing high impact work in top-tier journals in order to build a substantial resume and strong international collaborations.
Experiences in biomedical image analysis is an advantage but not a requirement. This job may be a great opportunity to apply knowledge and expertise from the computer vision and/or image processing field to new problems in the biomedical field.
LocationWako-City (Kanto district, 2-1 Hirosawa, Wako, Saitama 351-0198). RIKEN is located in very close proximity to the northern part of Tokyo. Map: http://www.riken.jp/en/access/wako-map/.
The RIKEN campus is quite large and offers cafeterias, coffee shops, and a convenient store. From the nearest train station, it is only a 12 min train ride to the Ikebukuro-Station (Tokyo). The Ikebukuro-Station is a hub which connects many famous places in Tokyo, including Shinjuku (9 min train ride), Shibuya (18 min train ride) or Akihabara (19 min train ride). Many people prefer to avoid crowded streets and trains in their daily life and are living in close proximity to RIKEN. However, those who prefer living close to the sightseeing, nightlife and entertainment spots in Tokyo benefit from commuting out of the city in the morning, and returning in the evening (significantly less crowded than the other way around).
QualificationsThe candidate should have or be expecting to receive a Ph.D., by the time of employment, in related fields and have
- relevant research skills and experiences in developing deep learning techniques for the analysis/processing of images, demonstrated by high-quality publications.
- expertise in biological/medical/neural image processing, image registration, computer vision, machine learning, optimization, or similar fields, is an advantage.
- good English communication skills
- proficiency in a programming language (such as C++/Python/JS)
- proficiency in tensorflow, pytorch or a similar DL library
- good communication skills and ability to cooperate