University of Michigan
Research Area Specialist-Intermediate/Post-doctoral Research Associate

The primary purpose of this position is research in the fields of advanced
complex data modeling, data mining, and knowledge discovery in databases. 

Overall Qualifications and skills 


Experience and skills in algorithm/models/inference in analysis and data
mining. 
Demonstrated excellence in publications 
Contact: To be considered for this opportunity please forward your CV with
cover letter to kdd-info_et_umich_dot_edu 
The top applicant will have three (3) years of data mining experience on the job and a Master's degree in Computer Science, Statistics, or related
discipline -- OR -- a Bachelor's degree with five (5) years related
experience. We are looking for a self-starter, able to judge well among
competing paths to explore, with strong programming skills and keen
quantitative ability, and who is eager to work with highly-motivated
colleagues and clients. 

University of Michigan-Health Management Research Center is a
privately-funded research center, established in the health and behavior
outcome research field, directed by Dr. Dee W Edington, fast growing unit
located on the central campus of UM-Ann Arbor, is looking for talented and
experienced individuals with strong data mining experience to join the team.
We are pushing the frontier of healthcare and wellness via predictive
modeling. Advanced analytics is our strength and envision more
multidisciplinary research in the areas of statistics, machine learning,
mathematics, artificial intelligence, simulation, operational research,
economics, and complex systems. The successful candidate must have a strong
background in statistical data analysis and data mining algorithms (proven), be able to work productively in a team environment and effectively present ideas to people of varying technical backgrounds. 

Requirements: 

Strong academic profile with an emphasis on quantitative and programming
coursework (e.g., in Mathematics/Statistics, Computer Science, Economics,
Financial Engineering) in the post graduate training. 

>= 3 years experience working with large unstructured data sets, in the

areas of data analyses and mining for the real-life applications. 
Expert Excel, Access and PowerPoint skills; experience with database query
tools (e.g., SQL); and a basic understanding of data warehouse architecture
are required. 
Strong proficiency (implement and inference) with more than one statistical
analysis tools (e.g., SAS, SPSS, STATA, Matlab, Splus, R) is required. 
Strong knowledge in data mining algorithms and working experience with more
than one data mining software is required. 
The ideal candidate will have: 

BS/MS/PhD in Statistics or Computer Science with outstanding credentials in
quantitative fields. 
Broad competencies in inter-related areas. 
Prior publications in leading conferences/journals a plus. 
Deep knowledge of either Matlab or R/Splus or BUGS or SAS. 
Experience with kernel methods and graph based algorithms a bonus. 
Exposure to econometrics and/or financial data a boon. 
Experience in exploratory data analysis and in data mining processes. 
Proven knowledge of data mining and machine learning methods and statistical
tools. 
The person is required to: 

Develop and prototype models employing advanced statistical and/or
data-mining techniques as appropriate (regression, GLMs, clustering,
decision-trees, neural networks, etc.) 
Develop new application specific techniques as appropriate (e.g., pattern
detection, prediction, optimization) 
Recommend and initiate model redevelopment, and enhancements beyond
prototypes as required. 
Adapt techniques to complex models. 
Rapid prototyping of new algorithmic ideas and concepts. 
Interact and work with researchers and database systems programmers within
the UM-HMRC as well as others. 
Compensation: DOE 

We seek results oriented researchers who want to solve real problems that
make a direct and measurable impact. These individuals should enjoy
formulating problems based on needs, selecting, modifying and/or building
appropriate tools or methodologies, and providing true end-to-end solutions
for diversified challenging data mining and healthcare data research
projects. 

Contact: To be considered for this opportunity please forward your CV with
cover letter to kdd-info_et_umich_dot_edu