Are you interested in gaining practical hands-on experience during graduate school while contributing to an exciting research project? We are seeking to hire a graduate student research assistant (RA) for the Fall 2019 semester to work with faculty on a project related to big data and autism. The RA will work up to 20 hours per week, for a total of 10 weeks during the Fall semester, under the supervision of SIS faculty Drs. Deborah Charbonneau and Xiangmin Zhang. The hourly rate for this position is $15.00. The position will start at the beginning of the fall semester. Please see below for the job responsibilities and required qualifications. The RA also needs to be local in the Detroit area and be able to attend meetings with the project team on campus.

To apply, please email Dr. Zhang (xiangmin.zhang2@wayne.edu) and Dr. Charbonneau (dcharbon@wayne.edu) a current CV, with a brief description of the related course work or projects you have completed. Qualified applicants will be contacted for interviews. The applications are due by Thursday, August 29, 2019.

Skills and Responsibilities:

Since this RA will be working with faculty on big data research project(s), typical responsibilities may include the following:

Work with quantitative research data

Use statistical software packages, such as SPSS to conduct basic statistical analysis procedures

Installation, configuration, and use of machine learning tools

Use Python (as well as R) coding skills

Handle confidential data with integrity

In addition, the following tasks may be assigned:

Conduct literature reviews and create bibliographies

Facilitate gathering of materials and data for various projects and reports; write summaries of project findings as requested

Provide assistance with the preparation of project-related reports, manuscripts, and presentations

Prepare tables, graphs, fact sheets, and written reports summarizing research results

Other job-related duties as assigned

Qualifications:

Required abilities and dispositions:

Current graduate student enrolled in the School of Information Sciences, living in the Detroit or surrounding areas.

High personal motivation, self-management, and detail-orientation.

Ability to take responsibility in meeting deadlines and making progress without direct supervision.

Strong verbal and written communications skills.

Willingness to learn new software, research methods, and work routines quickly.

Strong organizational skills.

Attention to detail and confidentiality.