Postdoctoral Fellow/Center for Biomedical Information - 16000000OC : Knoxville, TN, United States
A postdoctoral position is available in predictive modeling at UTHSC-ORNLCenter for Biomedical Informatics. The successful candidate will work with Dr. Oguz Akbilgic on the development and implications of statistical methodology and machine learning algorithms focusing on problems from biomedical informatics. These researches are intended to lead to both publications in high-quality peer reviewed journals as well as successful grant submissions. The initial appointment will be for 12 months. Depending on the performance and funding availabilities, an extension may be considered for up to six more months.
Qualifications
UTHSC-Pediatrics
Position Title: Postdoctoral Fellowship
Position Description: A postdoctoral position is available in predictive modeling at UTHSC-ORNL Center for Biomedical Informatics. The successful candidate will work with Dr. Oguz Akbilgic on the development and implications of statistical methodology and machine learning algorithms focusing on problems from biomedical informatics. These researches are intended to lead to both publications in high-quality peer reviewed journals as well as successful grant submissions. The initial appointment will be for 12 months. Depending on the performance and funding availabilities, an extension may be considered for up to six more months.
Position Qualifications: Applicants should (or expecting to) have a PhD in statistics, applied mathematics, data sciences, or a related field with a graduation date not earlier than 1/1/2014. The applicants should have a strong background on statistics and machine learning. Knowledge and experience in statistical computing is needed. Applicants should evaluate their qualifications by filling the check-list below. Applicants scoring exactly 5/5 on section A, and at least 10/16 in total are encouraged to apply.
A. Necessary Qualifications:
- Published (or in press) a part of your phd work in a peer-reviewed journal covered by SCI, SCI-Expended, or PubMed.
- Scientific programming and statistical computing via Matlab and R
- SQL, database management
- Training and/or knowledge on regression, classification, clustering, artificial neural networks, support vector machines
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Statistical analysis via SPSS or SAS or equivalent.
B. Preferred Qualifications - Formal training or experience in biomedical informatics
- Scientific Programming with C/C++
- Scientific Programming with Python
- Programming with SAS
- SPSS Modeler
- Training and/or experience in Information Complexity based Model Selection
- Training and/or experience in pattern recognition
- Training and/or experience in signal processing
- Training and/or experience in text mining
- Training and/or experience in image recognition
- Training and/or experience in parallel computing
Application Information: Applicants should email a copy of their CV including contact information of three references, the check-list above, and a cover letter to Dr. Oguz Akbilgic with subject “CBMIPD + last name + your score on check-list”.
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