The Text Machine Lab for Natural Language Processing at the Computer Science Department at the University of Massachusetts Lowell invites applications for two fully-funded PhD positions in the area of computational linguistics and machine learning, available immediately. The lab conducts research in deep learning applications to a variety of problems in natural language processing.
The Text Machine lab is currently being supported by over $1.4M external/federal research grants from NSF, NIH, ARO, and the industry. The current externally funded research projects are in the areas of text-based temporal reasoning, computational analysis of civil conflict and informational biases in social media, and predictive modeling of patient outcomes and disease trajectories using clinical text from the electronic health records. Students also have many opportunities to collaborate with other high profile computer science and biomedical researchers in the Boston Metro areas, including MIT, Dartmouth College, Boston University, Brandeis University, and others. More information about the lab can be found here: http://text-machine.cs.uml.edu.
The University of Massachusetts Lowell is a tier 1 public research university with a national reputation in science, engineering and technology. UMass Lowell is located about 25 miles northwest of Boston in the high-tech corridor of Massachusetts. The Department of Computer Science currently has 17 tenured and tenure-track faculty members, 3 full-time lecturers, and a few adjunct instructors serving over 700 BS students, 161 MS students, and 77 PhD students. It also offers an MS in Information Technology online program with over 100 students. It offers bioinformatics options at all levels, a robotics minor, a data science option, and a PhD in computational mathematics. The Computer Science faculty has received approximately $9M in the last two years in external research funding from the NSF, DARPA, DOD, DHE, NIH, and corporations. The department has 6 NSF CAREER Award recipients. More information about the department can be found at http://www.cs.uml.edu/.
Previous research experience in natural language processing or machine learning is a strong plus. To apply, please send your CV, research statement, a copy of your academic transcripts to Anna Rumshisky at email@example.com.