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Aug. 17, 2018

Research scientist position
Taro Toyoizumi Lab. for Neural Computation and Adaptation
Center for Brain Science (W929)


Laboratory for Neural Computation and Adaptation, Center for Brain Science (Team leader: Taro Toyoizumi)

Research field and overview

Our research is in the field of Computational Neuroscience. Computer models are used to study how information is processed in the brain and how the brain circuits adapt to and learn from the environment. We employ analytical techniques from statistical physics and information theory to investigate key functional properties for neural circuits. We use these techniques to reduce diverse experimental findings into a few core concepts.

We are particularly interested in activity-dependent forms of plasticity in the brain, which are known to have large impacts on learning, memory, and development. With the aid of mathematical models, we seek a theory that unites the cellular level plasticity rules and the computation. Efficacy of neurons to represent and retain information is estimated from the structure and behavior of resulting circuits.

Job title and job description

Job title, available positions

Research Scientist: 1 position

Our lab is interested in modeling activity-dependent synaptic plasticity and dynamic information processing by the neurons in the brain. We seek highly motivated postdoctoral researchers with a strong analytical background and interest in neuroscience. Candidates who want to bridge theory and experiment are also encouraged to apply.

Current interest of the lab includes:

  • Modeling learning and synaptic plasticity in the brain (Philos. Trans. R. Soc. B. 2017; Neuron 2014; Neuron 2013) and its relation to cognitive function and mental diseases (Grant-in-Aid for Scientific Research on Innovative Areas 2018-2022).
  • Studying how complex neural activity dynamics are generated and utilized for information processing (PNAS 2017; PLOS Comput. Biol. 2018, 2015; Phys. Rev. E 2011)
  • Theoretically elucidating an optimal strategy for neural network learning and behavioral strategy and predicting experimental observations (Phys. Rev. Lett. 2017; Sci. Rep. 2018, 2016; PNAS 2005)

For more detailed information, please see


The candidate should possess a doctoral degree in a related field and research experience Applicants should have a PhD in physics, neuroscience, mathematics, computer science, engineering, or a related area.

Work location

Branch and address

RIKEN Wako (2-1 Hirosawa, Wako, Saitama 351-0198)

Salary and benefits

  1. A one-year fixed-term employment contract, renewable based on evaluation, to a maximum of the end of the fiscal year (March 31) in which the employee completes 7 years of employment.
  2. RIKEN may adjust the above maximum period of renewability based on a) the employee’s abilities, work load at the time of contract completion, performance and work attitude and b) the continuation of the employee’s center, laboratory or project and RIKEN’s management situation and budget at the time. In principle, employment contracts will not be renewed for individuals older than 65 years.
  3. The employee’s period of fixed-term employment cannot exceed 10 years from the initial date of hire (or 10 years from April 1, 2013 for fixed-term employees already at RIKEN prior to this date).

There will be a trial period of employment (in principle, 2 months).
Salary will be commensurate with qualifications and experience. Commuting and housing allowances will be provided. Social insurance will be applied. Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai).
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.
These and other provisions are in accordance with RIKEN regulations.
RIKEN is promoting a Gender Equity Program by taking various measures to create a workplace where both men and women are able to give full rein to their talents and abilities. When applicants are judged to be equally qualified on the basis of fair and impartial criteria, women applicants will be given preference.
Also, eligible for an exemption from repayment for category 1 scholarship loans provided by the Japan Student Services Organization before fiscal year 2003, and eligible applying for the MEXT Grants-in-Aid for Scientific Research (Kakenhi).

Application and required documents

Required documents

  1. Complete CV
  2. List of research achievement and publications
  3. Two letters of recommendation (including one from the current supervisor, If available)
    (If the current supervisor’s recommendation is not available, a recommendation letter from a third party will be accepted)


Open until the position is filled

Handling personal data

Submitted documents are strictly protected under the RIKEN Privacy Policy and will be used only for the purpose of applicant screening. Personal information will not be disclosed, transferred or loaned to a third party under any circumstances without just cause.

Selection process

Application screening, interview and oral presentation by selected applicants

Start employment

As early as possible (negotiable)

Send application to

Send the PDF formatted application by email to  toyoizumilab[at]  (Replace [at] with @)

Contact Information

RIKEN Center for Brain Science
Laboratory for Neural Computation and Adaptation
2-1 Hirosawa, Wako, Saitama 351-0198
Email: toyoizumilab[at] (Replace [at] with @ )
For inquiries, please send an email.