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Research Assistant Professor in Biological Image Analysis

University of Tokyo, Tokyo, Japan
Employer Description

Goda Lab is located at the University of Tokyo in Japan (http://www.goda.chem.s.u-tokyo.ac.jp/). Goda Lab develops serendipity-enabling technologies based on molecular imaging and spectroscopy together with microfluidics and computational analytics, uses them to push the frontiers of human knowledge and understanding, and produces global leaders who will shape the future of biology and medicine. Specifically, the serendipitous technologies are designed for discovering new biological phenomena, elucidating unknown mechanisms, and exploiting new applications. They are based on an integration of theoretical, experimental, and computational techniques in physics and chemistry combined with molecular cell biology, electrical engineering, computer science, artificial intelligence, biomedical engineering, applied mathematics, mechanical engineering, and nanotechnology. 

Job Description

The University of Tokyo invites applications for a Research Assistant Professor position beginning on January 1, 2020, or as early as possible after this date. Preference will be given to candidates with expertise in the field of biological image analysis and computational microscopy (specifically, cellular image analysis with Python, Cell Profiler, etc., coding for cellular image analysis in C++, and statistical analysis with R). A Ph.D. or equivalent degree is required by date of hire. Applicants should prepare a curriculum vitae (including lists of publications, conference talks, awards, grants, etc.) and a list of the names of two references and send them to Department Chair before the application deadline (October 20, 2019). A hired faculty member will work closely with Prof. Keisuke Goda and his research staff and students in Goda Lab (http://www.goda.chem.s.u-tokyo.ac.jp) and also with Prof. Robert Campbell (http://campbellweb.chem.ualberta.ca).

Position Level: Research Assistant Professor

Area of Research: Biological image analysis, computational microscopy

Qualifications: Ph.D. or equivalent in any field of science or engineering. Strong motivation for education for graduate and undergraduate students.

Position Start Date: January 1, 2020 or as early as possible after this date

Term: 3 years

Application Materials: Include the following application materials and send them to Department Chair Kaoru Yamanouchi before the application deadline.
- Curriculum vitae (including lists of publications, conference talks, awards, grants, etc.)
- List of the names of references (minimum 2 references)

Application Deadline: October 20, 2019

Contact Information
Professor Keisuke Goda
E-mail: goda@chem.s.u-tokyo.ac.jp
Webpage: http://www.goda.chem.s.u-tokyo.ac.jp
Phone: +81-3-5841-4329

Application Submission: Send the application materials in a single file to Department Chair Kaoru Yamanouchi at chair@chem.s.u-tokyo.ac.jp. Make sure that you write “Application for Research Assistant Professor in Biological Image Analysis” in the subject line of your e-mail.

Applications from women are encouraged as per "Declaration of Gender Equality Acceleration" of the University of Tokyo (March 3, 2009).

JOB DETAILS
POSTED
30 September 2019
CLOSES
30 October 2019
JOB TYPE
Full-Time
REQUIRED EDUCATION
Doctorate/PhD
ANNUAL SALARY (US Dollars)
45000 – 60000
JOB FUNCTION
Professor / Faculty
FIELD
Biomedical, Medical Imaging, Health Care (Biophotonics)