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UChicago Student RA: Community Data Fellow

The DSI is seeking multiple RAs from a variety of social science and computational backgrounds to serve as Community Data Fellows. The RAs will provide assistance to local nonprofits to help address data capacity and project needs. This unique opportunity is aimed at students whose passion lies in developing innovative solutions to real-world data problems in multiple domains. Key responsibilities could include:

● Communicating with community partners and evaluating their data goals

● Analyzing datasets and reporting insights to the organization

● Scoping and fulfilling a data science work plan

● Developing data pipelines, including cleaning, normalization, and organization of data

Apply via email to mindi@uchicago.edu including 1) briefly explaining your interest in the role, and 2) resume.

UChicago Student RA: Annotator/Manual Labeler – Representation of Race and Gender in Education

Anjali Adukia (University of Chicago), Patricia Chiril (University of Chicago), Teodora Szasz (University of Chicago), and Emileigh Harrison (University of Chicago) are looking to hire part-time research assistants for a study on gender and racial bias in education. We are looking for a highly-motivated person who can work efficiently with close attention to detail. The ideal candidate would have been self-motivated and able to work independently.

Responsibilities:

  • Labeling text, objects, facial features, and other classifiable elements
  • Draw regions of interest for detection purposes
  • Communicating and documenting your process to other researchers on the project
  • Other responsibilities as they arise

If you are interested, please send your interest, your CV, and an unofficial transcript to Patricia Chiril.

UChicago Student RA: Text Analysis/NLP – Representation of Race and Gender in Education

Anjali Adukia (University of Chicago), Patricia Chiril (University of Chicago), and Emileigh Harrison (University of Chicago) are looking to hire a research assistant to help with text analysis and natural language processing for a range of projects, including a study on gender and race representation in education. This position would be for Spring 2022, with the potential to extend into full-time summer internship. The position would be based at the University of Chicago. Applications will be reviewed on a rolling basis.

Responsibilities:

  • Develop, maintain and support text analysis pipelines that include data collection, data management, data analysis and documentation
  • Work within a team to implement NLP algorithms, such as contextual word vectors, sentiment analysis, or entity recognition
  • Document code and generate results and visualizations
  • Perform other duties as assigned

Required Qualifications:

  • Proficiency in a scripting language such as Python
  • Familiarity with version control software such as GitHub
  • Familiarity with Linux systems

Preferred Qualifications:

  • Familiarity with one or more Python NLP packages such as NLTK, Gensim, SpaCy, or Textblob
  • Experience with Python or R visualization software such as Matplotlib, Seaborn, or ggplot

To apply: Please send a letter of interest to Patricia Chiril with a description of any project you worked on related to natural language processing or text analysis, a link to your Github account, your resume/CV, and an unofficial transcript (if applicable).

UChicago Student RA: Image Analysis/Computer Vision – Representation of Race and Gender in Education

Anjali Adukia (University of Chicago) and Teodora Szasz (University of Chicago) are looking to hire a research assistant to help with image analysis using machine learning in a study on gender and race representation in education. This position would be for Spring  2022, with the potential to extend into a full-time summer internship. The position would be based at the University of Chicago. Applications will be reviewed on a rolling basis.

Responsibilities:

  • Develop, maintain and support image analysis pipelines that include data processing, data management, image analysis, and documentation
  • Work within a team to implement Machine Learning methods for clustering, classification, and detection
  • Document code and generate results and visualizations
  • Perform other duties as assigned

Required Qualifications:

  • Proficiency in a scripting language such as Python
  • Familiarity with version control software such as GitHub
  • Familiarity with Linux systems

Preferred Qualifications:

  • Familiarity with one or more Python libraries such as OpenCV, Keras, Plotly, and scikit-learn
  • Experience with Machine Learning techniques

To apply: Please send a letter of interest to Teodora Szasz with a description of any project you worked on related to image analysis and computer vision, a link to your Github account, your resume/CV, and an unofficial transcript (if applicable).

Undergraduate Research Assistant (RA), Pediatric Cancer Data Commons

The Pediatric Cancer Data Commons (PCDC) in the Volchenboum Lab is looking for an undergraduate student to help with work on medical informatics projects. The student will work directly with an expert data analyst on the PCDC team and will help map data dictionary terms. Other clinical informatics work may be possible, depending on the needs of the PCDC data dictionary team. No programming experience is required. Work hours can be flexible, and all of the tasks can be completed remotely. Estimated hours per week is 5-10, beginning as soon as the position is filled.

To apply, send an updated resume/CV to Sam Volchenboum (slv@uchicago.edu).

Undergraduate Research Assistant (RA), Artificial Intelligence for Computer Graphics

Incoming UChicago CS faculty member Rana Hanocka works on research projects focused on building artificial intelligence for 3D data, spanning the fields of computer graphics, machine learning, and computer vision. Apply via email with 1) a few sentences on why you’re interested in working with Prof. Hanocka, 2) your resume, and 3) a link to your Github profile (if you have one).

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.