University of Wisconsin–Madison

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University of Wisconsin–Madison

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Apply now Job no: 100379-AS
Work type: Staff Full or Part Time, Staff-Full Time, Staff-Part Time
Department:EDUC/WCER
Location: Madison
Categories: Computer Science, Information Systems/Technology, Research, Scientific

Position Summary:

The National Institutes of Health (NIH) is the largest federal funder of biomedical research, yet their data show lower funding success rates for women and racial/ethnic minority grant applicants for certain award types. Gender and race bias may be operating to disadvantage women and racial/ethnic minorities in NIH's peer review process. This project involves using deep learning algorithms to mine the critiques NIH peer reviews write and video of the discussions they have about grant applications to identify potential gender and race bias in the review process.

Position Duties:

List of Duties

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals.

The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world.

For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Degree and Area of Specialization:

Bachelor's degree in computer science or related field required.

Minimum Years and Type of Relevant Work Experience:

Required:

* 2+ years of experience in Natural Language Processing (NLP) and Machine Learning.

*Knowledge/experience in algorithmic data science with interest in independently learning to apply such knowledge to mine text and video data.

Preferred:

*Experience using Long- Short -Term Memory (LSTM) Neural Networks is desired.

Department(s):

A177500-SCHOOL OF EDUCATION/WCER

Work Type:

Full or Part Time: 50% - 100%

Appointment Type, Duration:

Ongoing/Renewable

Salary:

Minimum $43,871 ANNUAL (12 months)
Depending on Qualifications

Instructions to Applicants:

To apply for this position, please upload a cover letter addressed to You-Geon Lee, current resume and a reference list with the contact information of at least three professional references. Please include your current or most recent supervisor.

Contact:

Franchesca Beswick
franchesca.beswick@wisc.edu
608-263-4221
Relay Access (WTRS): 7-1-1 (out-of-state: TTY: 800.947.3529, STS: 800.833.7637) and above Phone number (See RELAY_SERVICE for further information. )



Official Title:

SR INFORM PROC CONSLT(S44BN) or INFORM PROCESS CONSLT(S44DN) or ASSOC INF PROC CONSLT(S44FN)

Employment Class:

Academic Staff-Renewable

Job Number:

100379-AS

  The University of Wisconsin is an Equal Opportunity and Affirmative Action Employer. We promote excellence through diversity and encourage all qualified individuals to apply.

If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://oed.wisc.edu/disability-accommodation-information-for-applicants/

Employment will require a criminal background check. It will also require you and your references to answer questions regarding sexual violence and sexual harassment.

The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).

The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

Applications Open: Central Daylight Time
Applications Close: Central Daylight Time

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