Physiological Signal Modeling Postdoctoral Fellow
University of Michigan, Ann Arbor
The Departments of Anesthesiology and Mechanical Engineering of the University of Michigan are looking to hire a Postdoctoral Research Fellow to develop and test novel physiological network and forecasting systems. Our current work uses dynamic systems modeling techniques to study how the human body responds to various physiological stimuli. The postdoctoral fellow will work in an interdisciplinary environment with focus on the development and application of computational solutions to biomedical problems, involving signal processing of time series physiological data, data-driven and physiological-based models, and data mining. The position has the potential for long term professional employment.
To qualify for this 2-year Postdoctoral Fellowship, the applicant must have received a Ph.D. degree in a science, technology, engineering or mathematical discipline in the three years prior to the application date.
Responsibilities:
- Formulates experimental hypotheses leading to design and implementation of experimental protocols related to computational models.
- Develops necessary new technologies and protocols
- Develops and creates models from data sets collected by the medical collaborators.
- Collects, processes and interprets experimental data and model outputs.
- Trains, and in some instances supervises, graduate and undergraduate students.
- Collaborates with other scientists and computational staff on research projects and development of new approaches to existing research problems.
- Prepares research proposals, progress reports, and manuscripts for submission to scientific journals.
- Presents research methods and findings at appropriate scientific conferences.
- Completes other projects as needed.
Required qualifications:
- Ph.D. in Computer Science, Math, Control Engineering or related field
- Experience in developing and evaluating models for dynamic systems. Excellent mathematical and analytical skills
- Demonstrable products (publications, applications, patents) showing creative and independent problem solving skills
- Strong programming skills, including some or all of of Matlab, C/C++, databases (MySQL), python
Desired Knowledge:
- Experience in working with physiological data sets and models
- Experience with cloud computing services (AWS, Rackspace, etc.)
- Experience in machine learning
- Expertise in decision trees, inductive logic programming, unsupervised learning, independent component analysis, Bayesian learning systems, and hidden Markov models
- Big data analysis
- Signal Processing
Interested candidates should send a CV, cover letter summarizing their capabilities and interest, and the names and contact information for three professional references to Prof. Krishna Ramachandran rsatyak@med.umich.edu and Prof. Dawn Tilbury tilbury@umich.edu Applications received by November 15 will receive full consideration, although the position will remain open until filled.
11/3/14 dmt