Grad Student Openings in Data Systems

Open Positions

I’m always looking for students.

In particular, from now and throughout 2024-2025, I have multiple openings for fully funded PhD students / master students / postdoctoral fellows / research assistants / visiting scholars to work in the area of data systems. Research topics include designing new algorithms and building scalable systems to enable a large spectrum of big data analytics tasks on the intersection of dirty, private and federated data.

Qualifications

1. Computer science background, with good math and programming skills. Understanding any of database, data privacy+security and machine learning is a great plus but not mandatory;
2. Strong self-motivation to push progress and a clear mindset to resist setbacks;
3. Patience to read papers/code and to experiment.

How to Apply

Interested students are encouraged to email the following information to cge AT umn.edu, with a subject line [Position]_Application_[YourName]:

1. Application materials, including but not limited to a short paragraph to introduce yourself, resume, transcript and research experience;
2. Start time;
3. Your expectations and plans after graduation.

About the Advisor

Chang Ge is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota, since September 2022. He is broadly interested in data management, with a special interest in new algorithms and systems for enabling large-scale data analysis in the presence of private, dirty and siloed data. In addition to publications at SIGMOD, VLDB and ICDE, his research has been adopted into the products and services by Apple, Microsoft, IBM and SAP. Chang Ge received his Ph.D in Computer Science from the University of Waterloo in Canada in June 2022.