PhD Student Positions on Big Data Analytics at University of Maryland, Baltimore County (UMBC)
Our Big Data Analytics Lab (BDAL) is looking for new PhD students to conduct Big Data Analytics related research. Students will be funded through research assistantships and/or teaching assistantships.
Please check other tabs of the website and below for additional information of our lab:
Desired Student Qualifications
A BS or preferably an MS in Information Systems, Computer Science, Applied Maths or related areas.
Interested in and/or familiar with Big Data techniques (e.g. MapReduce) and systems (e.g. Hadoop and Spark)
Some background on Data Mining and Machine Learning
Good programming experience and/or mathematical theory background on scheduling and optimization
Suggestions for Preparing your PhD Program Application
You are welcome to contact me before submitting your application by explaining why you want to join our lab and sending your CV. If you get Dr. Wang’s encouragement to apply, please explicitly mention the interaction and you plan to have Dr. Wang as your advisor in your personal statement.
Please explicitly list your publication and research experiences in your CV and explain them in detail in your personal statement.
Please explicitly explain in your personal statement why you are a good fit for the PhD program at the Information Systems department which focuses on computing-related interdisciplinary research. You should highlight how your background will help you be successful with research.
Please explicitly list your Teaching Assistance (TA) experiences in your CV and your personal statement.
Contact: jianwu _at_ umbc.edu
Information Systems Department at UMBC: https://informationsystems.umbc.edu/
Application procedure: https://informationsystems.umbc.edu/home/graduate-programs/doctor-of-philosophy-programs/doctor-of-philosophy-in-information-systems/
Application deadline: February 1 for Fall and September 1 for Spring.
It is highly recommended to contact me by email regarding your application.
About Department of Information Systems (IS)
The Information Systems (IS) department has 32 full-time faculties, 1000+ undergraduate students, 100+ MS students, and 50+ Ph.D. students. Our academic programs, both at the undergraduate and graduate levels, are currently experiencing growth in student enrollments. The research in the department mainly includes five areas: 1) Artificial Intelligence and Knowledge Management; 2) Data Science; 3) Health Information Technology; 4) Human-Centered Computing; 5) Software Engineering.
UMBC is an American public research university and in “R1: Doctoral Universities – Very high research activity” category in the classification by Carnegie Classification of Institutions of Higher Education. UMBC is located in a safe suburb area of Baltimore County, Maryland, approximately 10 minutes drive from downtown Baltimore City and 30 minutes drive from Washington, D.C. UMBC has been named the #1 Up-and-Coming University for six years in a row, since 2009, by US News & World Report. In addition, US News & World Report has placed UMBC in the top ten for best undergraduate teaching six years in a row, being placed at #5, the second highest-ranked public university.
More information on UMBC
UMBC Fast Facts
UMBC Research Related Fast Facts: UMBC’s key research themes focus on 1).., 2).., 3) on Data Sciences & National Security, with special focus on Cybersecurity and artificial intelligence (AI), Cognitive Computing, and Big Data Analytics; 4)..
UMBC Rankings: “UMBC performed among the top 8.8% U.S. universities in the global ranking and ranked #68 among U.S. doctoral universities”. “Rankings released this week by the Center for World University Rankings (CWUR) place UMBC in the top 3.3% of universities worldwide”.