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Mar. 28, 2019

Research Scientist/Technical Staff Position
Connectome Analysis Unit
Center for Brain Science (W18190)

Laboratory

Connectome Analysis Unit, Center for Brain Science (Unit Leader: Alexander Woodward)

Research Field

The Connectome Analysis Unit is engaged in the Brain Mapping by Integrated Neurotechnologies for Disease Studies project (Brain/MINDS, https://brainminds.jp/en/) for establishing large-scale connectomics of the common marmoset brain. The Unit is responsible for developing and maintaining an internal database for data sharing and an open-access connectomics database accessible via a data portal website. The Unit develops digital brain atlasing tools and upgrades the current Brain/MINDS marmoset brain atlas, which is used for data integration and connectomics calculations. Connectomics techniques are developed to extract characteristics of marmoset brain circuits from Brain/MINDS experimental data.

Job title and Job description

Research Scientist (discretionary labor system): 1 position

The Research Scientists will conduct research in alignment with the goals of the Unit in the following areas:

  • Analysis of connectome data by using techniques such as network theory, brain simulation and artificial intelligence to extract characteristics of marmoset brain circuits.
  • Development of neuroinformatics tools to explore, analyze and visualize Brain/MINDS data (especially for the web).
  • Development of data pre-processing systems so that data from the database can be used in popular neuroscience tools.
  • Development of techniques and tools for digital brain atlasing using methods from computer vision and artificial intelligence.

The Unit is seeking self-motivated researchers who want to develop their careers and publish their research results in high-quality journals. This is a good opportunity for working with a diversity of neuroimaging data such as MRI (structural, diffusion, and resting-state functional MRI, etc.), fluorescence microscopy and histology, calcium imaging, ECoG, and ISH data among others.



Technical Staff I (discretionary labor system): 1 position
The Technical Staff’s main role will be software development for the Brain/MINDS data portal and databases. This involves implementing web-based solutions for data exploration and visualization. The successful candidate should have experience in front-end web technologies and preferably also back-end web technologies for developing and deploying database connectivity solutions. Ability in Python, JavaScript and current web-technologies are valued. Where necessary he/she will provide support to the Unit’s other technical staff for system administration of the server that hosts the website, databases and high-performance computing cluster. Familiarity and interest in digital image data and visualization (2D & 3D) for the web are desirable.

Qualification

Research scientist
The candidate should have or be expecting to receive a Ph.D. in related fields and should be enthusiastic about contributing to the team goals and also developing their research career. Strong computer programming skill is valued and we welcome applicants in any relevant field. Japanese language skills are not a requirement.

Technical staff
The candidate should have good experience in software development, especially in web front-end and back-end technologies, and some experience in system administration is preferable. Experience in working with digital images is also desirable. Japanese language skills are not a requirement.

Work location

Branch and address

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

Salary and benefits

  • A renewable one-year fixed-term employment contract to a maximum of the end of fiscal year 2023 (March 31, 2024) , with annual evaluation.
  • 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.
  • 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 (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).

Research Scientist and Technical StaffⅠ 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.
http://www.riken.go.jp/en/careers/working-at-riken/benefits/

(Only Research scientist)
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

For those applying to the Research Scientist position:

  1. Complete CV (with photo and email address)
    (RIKEN CV: WORD(56KB) or EXCEL(159KB) )
    ①(For RIKEN CV)*Write the RIKEN job ad number “W18XXX”, indicated in the parentheses next to the job title, in the RIKEN job ad number section in the upper right corner of your CV.
    ②(For original CV)*Write down in the notes section of your CV the number written next to the title of the job position (e.g. W18XXX).
  2. List of research achievements and publications.
  3. Research achievements (within 2 pages including figures).
  4. Two letters of recommendation including one from the current supervisor.
    (If the current supervisor’s recommendation is not available, a recommendation letter from a third party will be accepted.)

For those applying to the Technical Staff I position:

  1. Complete CV (with photo and email address)
    (RIKEN CV: WORD(56KB) or EXCEL(159KB) )
    ①(For RIKEN CV)*Write the RIKEN job ad number “W18XXX”, indicated in the parentheses next to the job title, in the RIKEN job ad number section in the upper right corner of your CV.
    ②(For original CV)*Write down in the notes section of your CV the number written next to the title of the job position (e.g. W18XXX).
  2. Two recommendation letters (+ contact information) from previous employers or co-workers in management position.

* The documents should be written in English.

How to apply

Send the PDF formatted application documents by email attachment to
Dr. Alexander Woodward, Connectome Analysis Unit
cbs_database_1[at]ml.riken.jp (Replace [at] with @)
The recommendation letters should be sent directly from the recommenders by email attachment to the above email address.
Note: Application documents will not be returned.

Deadline

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

Screening with application documents, and then interviews and oral presentations by selected applicants

Start of Employment

November 1, 2019 (negotiable)

Contact Information / Send application to

Dr. Alexander Woodward, Connectome Analysis Unit
Email: cbs_database_1 [at]ml.riken.jp (Replace [at] with @ )
Please send an email in English.