Job date: 2016-06-29
End Date:
Company : University of Massachusetts Lowell Country : Role : Postdoc
The Computer Science Department at the University of Massachusetts Lowell invites applications for one full-time, Postdoctoral Research Associate to start on September 1, 2016. This is a one-year appointment with a possibility of renewal based on productivity and performance and the availability of funding.
We seek a postdoctoral researcher to conduct analytical and experimental research in the areas of image analysis, machine learning, multimedia computing, and mobile computing with an emphasis on prototype design, data analytics, algorithm evaluation, and system deployment, and help immediate supervisor in writing scholarly articles and proposals. The postdoctoral researcher will work directly under the supervision of the Big Data and Computational Intelligence Lab (BIGCI) at UMass Lowell's Computer Science Department. The BIGCI lab is currently being supported by more than $3 million external/federal research grants from both NSF and NIH. The BIGCI lab has produced nearly 70 peer-reviewed publications in highly reputable journals and top conferences, such as TNNLS, TBME, TPAMI, MTAP, Neurocomputing, Cognitive Neurodynamics, ACM MM, ACM CIVR, ACM ICMR, IEEE ISM, IAPR/IEEE ICPR, IEEE ICME, ACM/IEEE BODYNETS, IEEE EMBC. More information about the lab can be found at http://www.cs.uml.edu/~ycao/. The postdoctoral researcher will also have plenty of opportunities to collaborate with other high profile Computer Science and Biomedical researchers at UMass Lowell, and researchers in the Boston Metro areas, including professors from MIT, Harvard University and Harvard Medical School, Boston University, UMass Medical School, etc.
Specifically, the postdoc will join a truly interdisciplinary team of public health, medicine, systems engineering and computer science researchers who have received funding from the Smart and Connected Health interagency program at the National Science Foundation and the National Institute of Health. Current interdisciplinary efforts aim at implementing a socio-technical solution to optimize the TB diagnosis process in Carabayllo, a high-burden TB area in Perú. The use of mobile tools and technologies poses a promising area to explore, particularly among communities that are socially excluded and lack the benefits of technological advances. The team will design, develop, and evaluate a user-centered, mobile device-based computing system to expedite the TB diagnosis process. By working closely with a local community stakeholder, Partners in Health Perú (Socios en Salud), the team will evaluate of how a socio-technical solution can serve as a platform for healthcare process optimization that is responsive and reflective of local healthcare systems and social constraints and resources. The research activities are designed and carried out under the Community-Based Participatory Research (CBPR) approach. The postdoc will have a unique opportunity to learn about implementation of community-engaged research that is respectful of the complex social, economic, and cultural context of vulnerable, voiceless populations often found in Low and Middle Income Countries. During the project execution, some of the specific tasks for the postdoc includes to contribute to the overall study implementation and administration, to assist the team to develop the quality assurance of the study data, to assist the team for the completion and pretesting of the software interfaces, to meet with the team on a weekly basis and discuss study progress, to work as a lead developer for the advanced analytics algorithms and software for TB screening, to assist the team in designing the system and validation, to assist the team in developing the mobile data capturing and transmission software, to assist the team for the scientific, technical, and logistic direction of the project, to assist the team for data management and statistical analyses, to assist the team by interacting regularly with investigators at Partners in Health Perú, and to attend conference calls with the investigators from Peru for project progress report, to assist the team in analyzing and interpreting data and preparing and submitting manuscripts for publication.
The Computer Science faculty has received approximately $8M in the last two years in external research funding from the NSF, DARPA, DOD, DHE, NIH, and corporations. The department has 5 NSF CAREER Award recipients. More information about the department can be found at http://www.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.
Women and underrepresented minorities are strongly encouraged to apply.
The University of Massachusetts Lowell is committed to increasing diversity in its faculty, staff, and student populations, as well as curriculum and support programs, while promoting an inclusive environment. We seek candidates who can contribute to that goal and encourage you to apply and to identify your strengths in this area.
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