We have several Postdoctoral researcher opportunities at MIT CSAIL within the  
- Data Systems Group (http://dsg.csail.mit.edu/) and the Data System for AI Lab (http://dsail.csail.mit.edu/) (Prof. Tim Kraska)
- High-Performance Systems Research Group (Prof. Manya Ghobadi)

We are looking for two or more postdoctoral researchers for our broad research program in data management and networking systems. We seek strong research skills that can contribute to one or more of the following projects:
- Northstar (http://northstar.mit.edu/) including AutoML Systems (DSG)
- Improving Data Management Systems through ML (SageDB - http://cidrdb.org/cidr2019/papers/p117-kraska-cidr19.pdf )
- ML-enhanced Algorithms and Data Structures (e.g., scheduling, caching, sorting, indexing). 
- Novel data center architectures for fast training of ML workloads
- Hardware architecture for in-network acceleration
- Risk-aware network optimization (TeaVaR - http://teavar.csail.mit.edu/ ) 
- Optical networks for high-performance cloud

Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, Data Science, or related disciplines. In addition, they should have a strong background in machine learning and systems, and have excellent programming skills. The ideal candidate already has several top-tier publications and worked on larger systems projects. 

*Application Instructions*
The positions are available immediately and are renewable yearly for up to three years. Interested candidates should submit to postdoc-application@csail.mit.edu the following information:
(1) CV
(2) transcript 
(3) available start date
(4) the names and contact information of three references familiar with the applicant’s research and academic work 
(5) a brief cover letter explaining their research experience, what projects they are interested in, how their interests would fit the goals of the project and career plans.

*Meet at VLDB19*
If you are interested and happen to be at VLDB 2019 in LA, Tim Kraska will be at the conference and would be happy to talk in person.