Faculty Position, Joint Search, Stanford Data Science and Wu Tsai Neurosciences Institute Stanford University

Stanford University

Faculty Position, Joint Search, Stanford Data Science and Wu Tsai Neurosciences Institute Stanford University

  • Institution: Stanford University
  • Location: Stanford, CA US
  • Website: www.stanford.edu
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Faculty Position, Joint Search, Stanford Data Science and Wu Tsai Neurosciences Institute Stanford University

  • Stanford University | Stanford, CA US
  • Hourglass IconJob Post Expiration: November 07, 2022
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Job TitleFaculty Position, Joint Search, Stanford Data Science and Wu Tsai Neurosciences Institute Stanford University

Position TypeFull Time

Job Category Faculty

Salary Range -

Location Stanford, CA US

Application Deadline -

Contact Information

Contact Name Jill Wentzell

Department -

Email wentzell@stanford.edu

Phone -

Job Description

To apply for this job please visit apptrkr.com.

Faculty Position, Joint Search, Stanford Data Science and Wu Tsai Neurosciences Institute Stanford University

 

Work Type: University Tenure Line

 

Location: Stanford University

 

Categories: Graduate School of Business, School of Earth, Energy & Environmental Sciences, Graduate School of Education, School of Engineering, School of Humanities & Sciences, Dean of Research, School of Medicine

 

Stanford Data Science and the Wu Tsai Neurosciences Institute invite applications for a tenure-track appointment at any level in data science, focusing on theoretical and computational neuroscience. Applicants are expected to have a doctoral degree in statistics, data science, psychology, computer science, neuroscience, mathematics, or related disciplines. The departmental home of the appointee will be in line with the research and teaching expertise of the candidate, including Statistics, Psychology, Bioengineering, and other relevant departments.

 

The successful candidate will be expected to contribute creatively and in depth to theoretical and computational neuroscience through research, teaching and trainee mentorship. We are open to candidates working on a broad range of problems including but not limited to formal theory, network models, information sciences and advanced data analytic methods as applied to neuroscience. Ideal candidates will demonstrate strong communication and leadership skills, and will be able to actively contribute to our rapidly growing institutes and their home department.

 

Stanford Data Science, the Wu Tsai Neurosciences Institute and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates are strongly encouraged to include a diversity statement including a brief discussion of how their research, teaching and mentorship will further these ideals.

 

The Stanford community also values transparency and openness in science and encourages candidates to provide in their research statement a description of how these values are reflected in their work to date and their future research plans.

 

Applicants should submit the following:

 

• cover letter

• curriculum vitae

• 3-5 page statement of research accomplishments and plans

• 1 page teaching statement

• 1 page diversity statement (recommended)

• 2 representative publications

• Reference information

 

• Non-tenured applicants should submit the names of three references who will be contacted upon submission of application.

• Applicants who currently hold tenure should submit a list of three names of references (complete with addresses and phone numbers). We will request letters of recommendation for a short list of finalists only.

 

The search committee will begin reviewing applications on October 25, 2022.

 

Advertised: 15 Sep 2022

 

Application Closes: 02 Nov 2022

 

To be considered for this position please visit our web site and apply on line at the following link: https://apptrkr.com/3474066

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

 

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