Research assistant for Data Analyis with AI

Overview

Key info

• Project title: Applying for Data Analysis with AI - course material development
• Name(s) of supervisor(s): Gábor Békés
• CEU Department: Department of Economics and Business
• Location: Vienna / online
• Approximate workload (hour/week): 8-10 hours for about 10-12 weeks.
• Total gross remuneration in EUR 1300-1800 (could be 2x if working for 6 months)
• Application deadline: Aug 15, 2024
• Start date: 21 August, 2024 (or later)
• End date: 15 December, 2024

The project detal

We develop a new course material, “Data Analysis with AI“ to equip students already versed in core methods of data analysis on how best to harness generative AI (GenAI) technologies to improve their productivity. We will focus on large language models (LLMs) such as ChatGPT or Claude.

The material is based on the my textbook Data Analysis for Business, Economics, and Policy (with Gábor Kézdi, Cambridge University Press, 2021.) will be composed of 6-8 class packages, each focusing on a use case of data analysis method or task. It will teach how applying genAI can enhance one’s analytical work in domains such as creating a survey, analyzing an unknown dataset, producing a descriptive report, or carrying out modelling with machine learning – all with using AI. The material will help develop debugging skills that are essential to benefit from the technology, and ideally help overcome student aversion.

Specific tasks

1. Do a review of efforts on how instructors and students use AI for data analysis,
2. Scale up testing of prompts in different ways and platforms, and
3. Develop new case studies, test them, help decide on the material. Case studies include descriptive (data wrangling, simulation), prediction (machine learning) and causal inference (staggered difference in differences, synthetic control).

Background

We are looking for two graduate students with shorter assignment or one student with longer one.

They may be 2nd year MA or 2nd or 3rd year Phd in Economics or other quantitative social science programs. They may have graduated recently with some extra time on their hands.

Expected experience

• Good knowledge of econometrics and introductory familiarity with data science
• Good knowledge of R or Python
• Experience with the following tools: Git/Github, Latex/markdown

Advantages

Ideally, you’ll have some but no need to have it all!

• Experience doing data analysis with LLMs
• Experience with Quarto, Latex Beamer, Reveal.js
• Experience / Knowledge of my data analyis textbook
• Some experience with two language out of R, Python, Stata

Why apply?

I hope it’s gonna be a good learning experience for all of us (we alread have a great Phd student and former MA student working on it). It’s clearly an experience that will have valued in most workplaces, too. Should be fun, too.

Application

Email to econdept@ceu.edu

Subject line “Applying for Data Analysis with AI - course material development”

Apply by sending two attachments

1. CV
2. Applied Data Experience – plain text with
   1. Info on coding skills/experience with Python and/or R.
   2. List of all data analysis / econometrics courses you had
   3. List of all data science courses you had
   4. Evidence of experience doing data analysis with LLMs, such as a chatGPT link of a conversation
   5. Experience with ML tools (scikit-learn, caret, tensorflow, etc) if any
   6. Link to Github/Gitlab etc repo if any
   7. Experience with Latex, Markdown, Quarto, reveal.js, etc

Opportinity, preferences

CEU is an equal opportunity employer and values geographical and gender diversity, thus encouraging applications from women and/or other underrepresented groups.

The job is based in Vienna or online. Mild preference may be give to applicants who are (i) current or former students of CEU, (ii) based in Vienna, or (iii) current students in the European Union.