Top > Job posting search

Job posting search


   Detailed information - Search by Work location



Data number
D122102477
Date of publication
2022/11/02
Date of update
2023/01/26
Title
Project Research Fellow of Grant-in-Aid for Transformative Research Area (B) "Design and Build of Brain by Emergence and Transition of Multidimensional Spontaneous Activity"
Institution
Nihon University
URL of institution or department
Department
School of Medicine
Institution type
Private university
Content of job information

[Description of the institution (year of establishment, capital amount, number of employees, etc.), details of the business, recruitment background information, project description, etc.]

Project Research Fellow of Grant-in-Aid for Transformative Research Area (B) "Design and Build of Brain by Emergence and Transition of Multidimensional Spontaneous Activity" at School of Medicine, Nihon University

cf) https://kaken.nii.ac.jp/en/grant/KAKENHI-PLANNED-22H05095/

[Job description (work / duties after recruitment, subject responsible for, etc.)]

The successful candidate is expected to complete developing a mathematical model (recurrent neural network) that accounts for spontaneous synchronous activities of the developing cerebral cortex, a half of which has been done by the project director, Takashi Hayakawa. The successful candidate can work in collaboration with other researchers in the grant group, the professor in mathematics, Hayato Chiba, and the professors in experimental physiology, Naofumi Uesaka and Hidenobu Mizuno. Or, in collaboration with the project director, Takashi Hayakawa, who is going to work on theoretical analysis of machine learning performance of the model, and experimental verification of the model. The research fellow is expected to spend 50% of the overall work time on the completion of the model development. For the rest of the work time, he/she can work at their own discretion as long as the activity is expected to contribute to the project and approved by the project director.

[Reference Literature] https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.013253

[Address of work location and other information]

Oyaguchi-Kamicho 30-1, Itabashi, Tokyo, Nihon University, 1738610 Japan

[Available positions (job title, number of positions, etc.)]

1 postdoctoral fellow

[Starting date, employment date, etc.]

The successful candidate is expected to start the job as early as reasonably possible after 1st April, 2023

Research field
1.
Area
Informatics
Discipline
Frontiers of informatics
2.
Area
Biological Sciences
Discipline
Neuroscience
3.
Area
Mathematical and physical sciences
Discipline
Physics
Job type
1.
Researcher/Postdoc level
Employment status
Full-time(Nontenured)
The term of employment will be up to the end of the project (31st, March, 2025). If the research project is successful, the project may be officially prolonged a few more years, and in this case, the contract can be prolonged as well. If the successful candidate has a background of medicine, pharmacology, or biotechnology, an option to switch to a 3-years non-tenured assistant professor who works on Bayesian machine learning and its application to medical data is also available.
Work location
Kanto district - Tokyo 
Qualifications

[Public qualifications needed in specific field(s), conditions (education, degree, etc.), experience (how many years) and expertise required for specific field(s)]

PhD or equivalent in medicine/biology, informatics, physics, mathematics, or a related field
(As a minimal requirement, the successful candidate has to possess the ability to implement and customise recurrent neural networks consisting of a few thousand neurons from scratch. He/She can do this using any programming language, but has to know the basics of C and C++ in order to communicate with the director of the project. Anyone who satisfies the above condition and is expected to make some contribution to the project will be successful.)

Compensation

[Treatment after recruitment (job title, salary, working hours, employment type, employment period / trial period)] * Important

Project Research Fellow of Grant-in-Aid for Transformative Research Area (B) "Design and Build of Brain by Emergence and Transition of Multidimensional Spontaneous Activity" at School of Medicine, Nihon University

350,000 yen / month (befrore taxation) + commuting cost (limited by school's internal rule)
Monday-Friday 9:00-17:00 (35 hours a week in total) *Research studies outside the campus can also be performed, based on the approval by the research director and the director of the department.

Paid holidays can be taken, in compliance with the school's internal rule.

The term of employment will be up to the end of the project (31st, March, 2025). If the research project is successful, the project may be officially prolonged a few more years, and in this case, the contract can be prolonged as well. If the successful candidate has a background of medicine, pharmacology, or biotechnology, an option to switch to a 3-years non-tenured assistant professor who works on Bayesian machine learning and its application to medical data is also available.

[Overtime hours, rest periods, discretionary labor system, holidays, various insurances (social insurance, labor insurance), various systems (pay increase system, bonuses, transportation expenses, retirement allowances), the type of agreement with the applicant when not hiring, etc.]

Mandatory to join Promotion and Mutual Aid Corporation for Private Schools of Japan (health insurance and other benefits), Employment
Insurance, Industrial Accident Compensation Insurance.

[The measures against second-hand smoking in your workplace.] * Important

Smoking is allowed only in a designated area outside the campus buildings.

Application period
2022/11/02 -  2023/02/26 Deadline for receipt
Application will be closed, as soon as a suitable candidate is determined (although this call for application will be prolonged until the final decision is made).
Application
/selection
/notification of result
/contact details

[Application documents, application (submission) method (Mail, attachment to e-mail, details on using the web application, etc.), destination (address, e-mail address, web application URL, etc.)]

The following must be submitted by post or email (in free format) to the address shown below.
(1)CV
(2)List of publications
(3)Summary of past researches and interest in the project (up to 3 pages).
(4)A recommendation letter

"Application for PD" should be written on the envelop or in the subject of email. In the case of email application, the recommendation letter should be directly sent from the recommender.

[Selection details (interview / selection location, selection method, notification of result, etc.)]

An online interview will be arranged, after screening based on the submitted documents. A final on-site interview may be arranged as well.

[Result notification method, whether application documents can be returned or not, etc.]

Candidates will be notified of results by email.
Submitted documents will not be returned.

[Contact information (department, official position, name, institution e-mail address and phone number of the responsible person)] * Important

Oyaguchi-Kamicho 30-1, Itabashi, Tokyo, 1738610 Japan
Nihon University, School of Medicine, Department of Pharmacology
Takashi Hayakawa (Assistant Professor)
E-mail: hayakawa.takashi[at]nihon-u.ac.jp (replace [at] by "@")
Phone: +81 3 3972 8111 (ex: 2247)

Online Submission
Online Submission with all application documents is available.
JREC-IN Portal web application
Not available
 
Email Application
Accept
hayakawa.takashi@nihon-u.ac.jp
Recruiting Institution's
Web application system
Not available
Additional considerations when applying
■Applying from Long-Distance Areas or Overseas

Online interview will be arranged. Salary adjustment may be offered for a successful candidate, in order to compensate for relocation costs. Other measures will be flexibly taken.


Information on external site
The information about this institution on external site will be displayed in a new window.