22/10/2019

Associate Professor or Assistant Professor, Faculty Open Position(Statistical Machine Learning and Related Fields)

This job offer has expired


  • ORGANISATION/COMPANY
    Hiroshima University
  • RESEARCH FIELD
    Computer science
  • RESEARCHER PROFILE
    Leading Researcher (R4)
    Established Researcher (R3)
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    14/11/2019 23:59 - Asia/Tokyo
  • LOCATION
    Japan › Hiroshima
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    See description

[Affiliation (Appointment)]
Academy of Hiroshima University
(School of Informatics and Data Science)

[Position(s) and the number of opening(s)]
Associate Professor or Assistant Professor, one (1)
(Depending on the result of the performance reviews of the applicant at the time of employment, he/she may be decided on any of the following titles: Associate Professor with tenure; Associate Professor/Assistant Professor on Tenure Track System)

[Commencing date of employment]
April 1, 2020

[Terms of employment]
Tenure-track position(s)
Period of employment:
- 7 years (in case of Associate Professor)
- 5 years (in case of Assistant Professor)

Tenure-track faculty members will undergo a tenure review within six (6) months prior to completion of the term of appointment, and those who have successfully passed the review process will be granted tenure along with promotion to associate professor.
Granting a candidate for tenure is subject to two reviewing process: an intermediate and final review. If a candidate is not granted tenure in final review, he/she will be dismissed from the university upon completion of the term of appointment.
If a candidate has taken a leave because of some life events such as delivering a baby, child-raising and caregiving, he/she may extend the term of appointment up to certain period according to the length of such leave.
*If you would like to know more about the standards for tenure review, please contact the office shown below for any enquiries.

[Field of specialization]
Statistical Machine Learning and Related Fields

[Teaching responsibilities]
Undergraduate level (general education courses): Elementary Data Science, etc.
Undergraduate level (discipline specific courses): Inference Statistics, etc.
Graduate level (master's programs): Data Literacy, etc.
Graduate level (doctoral programs): Pattern Recognition and Machine Learning, etc.
* In addition to the courses listed above, he or she may be asked to teach other general education courses and/or discipline specific courses in other department(s) and graduate school(s).

[Address of work location and other information]
1-4-1, Kagamiyama, Higashi-hiroshima 739-8527, Japan

Benefits

[Employment status]
(1) If you are agreeable to the application of the Discretionary Labor System for Professional Work, you are deemed to work for 7 hours and 45 minutes a day and 38 hours and 45 minutes a week. If not, working hours are from 8:30 to 17:00 (from Monday to Friday) and break time is from 12:00 to 12:45.
(2) Workdays are from Monday to Friday (excluding public holidays) in principle.
(3) Holidays are Saturdays, Sundays and public holidays in principle.

[Salary]
(1) The monthly salary system or annual salary system will be applied to successful candidates.
*Currently, we are considering a new annual salary system, and if the new system is introduced at date of adoption, it will apply.
(2) Successful candidates may be reimbursed for travel expenses incurred for the trip from their home or former place of work to the new place of work to assume their post in accordance with the relevant regulations of Hiroshima University. For more information, please contact us.

[Evaluation]
We conduct individual performance evaluations for all Hiroshima University faculty members after their employment, numerically rate their performance, and salary and benefits are commensurate with performance indicators.

Additional comments

[Miscellaneous]
(1) Probationary employment period: six (6) months
(2) Personal information obtained from application documents will not be used or provided to any third party for purposes other than the necessary procedures related to personnel affairs, salary, and welfare. Application documents of applicants whom we have decided not to employ will be discarded in an appropriate manner, after the completion of relevant selection processes.
(3) All the faculty members of Hiroshima University belong to the "Academy", which is the single university-wide faculty organization, and each faculty as a member of the Academy of the University is appointed to educational and/or research organizations such as an individual undergraduate school, graduate school, research center and institute.
(4) For each specialized field of faculty, Hiroshima University has defined Minimum standards for hiring new faculty (“the minimum standards"). We use the minimum standards for the initial screening process of the applicants, and only those who have cleared the minimum standards will qualify as the candidates for the post concerned. The minimum standards used for this international job offer can be viewed by clicking the following URL link.
https://www.hiroshima-u.ac.jp/en/employment/kyoinkobo/ids
(5) With the aim of achieving medium to long-term growth to join the top 100 world university rankings list, Hiroshima University plans to recruit and develop excellent researchers. Furthermore, in order to make the age structure of the faculty more balanced, the University plans to implement a campus-wide initiative to provide a diverse group of faculty members—especially young, female, and non-Japanese faculty members—with more opportunities to play a leading role on campus, thereby invigorating research and education activities at the University.
With this in mind, the University seeks applications from young researchers this time around.
(6) HU provides employment information (research job, desk job and etc.).
If your spouse wishes to work for HU, please refer to the following URL link.
employment information: https://www.hiroshima-u.ac.jp/en/employment/

Work location(s)
1 position(s) available at
Hiroshima University
Japan
Hiroshima

EURAXESS offer ID: 457999
Posting organisation offer ID: D119101049

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