This job was posted by https://illinoisjoblink.illinois.gov : For more information, please see: https://illinoisjoblink.illinois.gov/jobs/12001156 Department

Harris School Pre-Docs, Temps and Non-Student Research Assistants

About the Department

Why Policy? For a better world. Why Harris Public Policy? Because when it comes to better policymaking, evidence matters. We work at the frontiers of data collection and analysis, using the latest technology and social science methods to design policies that work for society. We conduct rigorous inquiry in an environment of innovation and risk taking. We collaborate across the private, public, and nonprofit sectors, adopting new methodologies to drive better solutions. We engage with our city, our world, and our leaders every day to evaluate and test our ideas. And we lead with our passion for driving social change, knowing that passion alone does not equal impact.

Job Summary

The Harris School of Public Policy seeks applicants for a one-year Research Professional position. The ideal candidate will have core interests in education research. The successful candidate will work under the supervision of Professor Anjali Adukia.

Responsibilities

• Collect, transform, and process raw and unstructured data into a usable data science format.
• Develop classification models using supervised and unsupervised machine learning/deep learning techniques for various research applications.
• Design and implement NLP algorithms and techniques for text preprocessing, feature extraction, sentiment analysis, semantic role labeling, and document classification.
• Visualize complex data for inclusion in manuscripts and presentations.
• Write documentation and using version control on GitHub, including communicating and documenting your process to other researchers on the project.
• Work collaboratively with a team of researchers.
• Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.
• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.
• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through ---

Certifications:

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Preferred Qualifications

Education:

• Bachelor\'s Degree in Economics, Statistics or related disciplines.

Experience:

• Previous research experience.

Technical Skills or Knowledge:

• Proficiency in Stata; ability to use other statistical software packages (e.g., R, Python, or BASH).
• Significant coursework or experience in data analysis.
• Exceptional technical skills and a proven ability to creatively tackle difficult empirical problems.

Preferred Competencies

• Proven ability to work effectively in small teams, demonstrating a strong desire to both learn from and mentor other team members.
• Excellent oral and written communication skills.
• High attention to detail and quality in data analysis and written material.
• Experience with or proficiency in R, Python, and Bash scripting.
• Experience with NLP techniques such as word and document embeddings.
• Experience using clustering and dimensionality reduction techniques such as K-means and PCA
• Experience implementing Neural Networks using Tensorflow, PyTorch, Scikit-Learn, OpenCV, deep learning, and other artificial intelligence techniques.
• Experience with image classification/recognition and tools to analyze illustrations in addition to photographs.
• Familiarity with Linux, UNIX, and High Performance Computing environment.
• Experiencing forming and testing hypotheses.
• Drive to learn new programming or data analysis techniques.
• Strong communication skills and the ability to break down complex technical problems.
• Significant knowledge of statistics and/or empirical economics research.
• Demonstrated ability to review and prioritize work independently and effectively.
• Demonstrated ability to be resourceful and creative in problem-solving.

Working Conditions

• Predoctoral Scholar will be based out of Chicago, IL.

Application Documents

• Resume (required)
• Cover Letter (preferred)
• References (preferred)

When applying, the document(s) MUSTbe uploaded via the My Experience page, in the section titled Application Documents\<