Seeking a Postdoctoral Researcher (26-823) Full-time

Postdoctoral Researcher

The Brain Image Analysis Unit at the RIKEN Center for Brain Science is seeking a postdoctoral researcher for the Brain/MINDS 2.0 project. The unit develops deep-learning methods for large-scale microscopy and MRI analysis of the marmoset brain. We are passionate about developing deep learning algorithms for microscopy and MRI brain image analysis. Our current focus is on neuron tracing and axon reconstruction, and we welcome strong candidates across the following related areas:

• Neuron tracing and axon reconstruction in dense 3D tracer data using (probabilistic) deep learning
• Generative models for synthetic ground-truth data for dense 3D neuron tracing
• Deep learning for very large 3D images that exceed GPU memory
• Cross-modality image registration with deep learning (e.g. microscopy-to-MRI/CT), beyond mutual-information metrics
• Foundation models and large language models for biomedical image data
• Deep-learning diffusion-MRI tractography validated against same-animal anterograde tracer data

While experience in biomedical image analysis is beneficial, it is not mandatory.

The job description may be changed during the contract period or upon contract renewal to the extent described above.

Candidates should hold, or are expected to obtain a Ph.D. degree by the date of employment in a field related to our research focus, such as computer science, biomedical engineering, or a closely related discipline. We expect a demonstrated proficiency in developing deep learning techniques for image analysis/processing, evidenced by publications in reputable peer-reviewed journals or major conferences in relevant fields. Additional expertise in areas like neuron tracing or curve/tree reconstruction, probabilistic modeling and Bayesian inference, diffusion MRI / tractography, biological/medical/neural image processing, image registration, computer vision, machine learning, optimization, and large-scale or out-of-core processing of 3D image data will be considered a significant asset.

A level of English sufficient for academic writing and verbal communication is required. Candidates should also be proficient in programming, preferably with experience in Python or a similar language at an advanced level, ideally including experience with deep-learning frameworks such as PyTorch or TensorFlow. We value the ability to collaborate effectively in a multidisciplinary team, combining strong technical and interpersonal skills.

RIKEN Wako Campus (2-1 Hirosawa, Wako, Saitama 351-0198) RIKEN may order the employee to change work locations, if necessary.

Salary will be an annual salary based on experience, ability, and performance, and will consist of a base salary and a variable salary. The variable salary will be determined each fiscal year based on experience, ability, and performance. Discretionary work, commuting and housing allowances will be provided. Social insurance will be applied.

The total amount of monthly discretionary work allowance and monthly salary at the time of hiring will be 382,610 JPY or more.

RIKEN has implemented a telecommuting system that allows employees to work from home or other locations permitted by RIKEN.

This position falls under the specialized duties discretionary work system; one working day will be calculated as 7 hours and 30 minutes.

Days off include public holidays, New Year's holidays (Dec. 29 – Jan 3), and RIKEN Foundation Day. Paid leave includes annual paid leave (up to 20 days depending on the month of employment), special paid leave (caring for a sick child, family nursing care, etc.), and work life balance holidays (up to 7 days depending on the month of employment). There are also additional leave systems such as maternity leave, childcare leave, and family nursing care leave. Smoking is entirely prohibited on site. These and other provisions are in accordance with RIKEN regulations. Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai).

* Eligible to apply for the MEXT Grants-in-Aid for Scientific Research ( Kakenhi ).

RIKEN is actively undertaking initiatives to promote gender equality and diversity, and moving forward with the establishment of a diverse and vibrant research environment. If multiple candidates are found to have the same aptitude following a fair assessment, active efforts will be made to recruit female candidates.

The Wako Campus has an on-site daycare, RIKEN Kids Wako. For details, please send an email to kids@riken.jp.