- 3 technical lead Data / AI positions (paid)
- 2 technical lead Blockchain positions (paid)
- 2 self-directed undergrad research students (unpaid)
The Data-X and Blockchain Lab at SCET supports a collection of student and faculty-led projects in AI/Data and Blockchain areas. Over the past year, the data and blockchain sub-labareas have attracted support for experiential teaching and applied research projects. Current projects from the lab include open source development code for the popular Data-X course and sponsored projects from firms including Amazon, LinkQuest, Neo, Optimus, and Echolink.
More info here: https://scet.berkeley.edu/data
The Data-X and Blockchain lab follows the Innovation Collider model of the Sutardja Center, where the work produced is more than research papers, and often includes diverse team formation with people who don’t often meet, such as Venture Capitalists, industry leaders, researchers, and undergraduate students.
The Center and Department are offering 5-7 student openings to join the lab‘s community starting this spring and others to work in the fall and beyond:
Technical Leads (5 openings as technical staff): These openings are for students who already have knowledge of data, AI, and/or blockchain implementation. These students would be interested in developing new notebooks, lecture content, presenting materials, teaching, and potential travel as experts to global companies and academic locations. They may also participate in applied research projects for companies such as our newest project in automated mobile “network configuration”, which may also result in a venture opportunity. Having already taken the Data-X or a blockchain course is a plus, but not required. These projects are also designed to lead to significant career opportunities for technical undergraduates and graduate students. This is a paid position.
We will additionally accept applications for 2 non-paid students who would like to contribute to one of our current projects as part of our applied research community.
If interested, please send a statement of interest, 1-2 paragraphs in length, along with your resume to Data-X lab research director Alexander Fred-Ojala, Professor Ikhlaq Sidhu, cc: Melissa Glass (afo@berkeley.edu, sidhu@berkeley.edu, m.glass@berkeley.edu). In the subject line and title of your statement, please indicate which position you are applying for.