The Big Data Management and Mining Laboratory (BDLab) at the Department of Computer Science and Engineering, University of Colorado Denver (CU Denver), is seeking a postdoctoral fellow in network/graph analysis with application in multi-omics analysis of chronic obstructive pulmonary disease (COPD). This NIH funded position is for 2 years with the possibility of extension and available to start immediately. The focus of this position will be the development and implementation of novel machine learning and data mining methods to identify the multi-omics networks associated with the development of COPD. 

The successful candidate will join a multi-institute (CU Denver, CU Anschutz Medical Campus, and National Jewish Health), multidisciplinary team including faculty, postdocs and graduate students with a variety of expertise in computer science, biostatistics, genetics, clinical care, etc. Salary is commensurate with skills and experience. The University of Colorado offers a full benefits package. 

CU Denver is a Carnegie R1 Research University, located in Denver, CO, with a vibrant sprawling downtown campus. The Department of Computer Science and Engineering is housed in a new state-of-the art building. The department resides within the College of Engineering, Design and Computing (CEDC), which is undergoing significant growth as a priority area for CU Denver. The department enrolls approximately 1,800 students at all levels, including 600 MS and PhD students. 

The University of Colorado Denver is committed to recruiting and supporting a diverse student body, faculty and administrative staff. The university strives to promote a culture of inclusiveness, respect, communication and understanding. We encourage applications from women, ethnic minorities, persons with disabilities and all veterans. The University of Colorado is committed to diversity and equality in education and employment.


Examples of duties:
* Literature review
* Method design and development
* Comparative analysis and evaluation 
* Leading team of graduate students
* Manuscript preparation
* Grant proposal preparation
* Presentation at conferences

Minimum Qualifications: 
* PhD degree in Computer Science
* Prior relevant experience in data science, machine learning, and data mining
* Excellent publication record
* Proficiency in programming Python, R, C++, and/or Java
* Proficiency in both written and oral English
* Excellent communication and social skills
* Great motivation for research, interest in the relevant topics, and good knowledge of relevant theory and methods
* Good team management skills
* Ability to work independently as well as in teams

Preferred Qualifications: 
* Experience in network analysis
* Prior experience in relevant application domains
* Prior industry experience in related domains is a plus


To apply: Submit a CV and a one-page research statement to Dr. Farnoush Banaei-Kashani at farnoush.banaei-kashani@ucdenver.edu asap.  Shortlisted candidates will have an online interview.


Farnoush Banaei-Kashani
Assistant Professor
Computer Science and Engineering Department
University of Colorado Denver | Anschutz Medical Campus
Lab: http://cse.ucdenver.edu/~bdlab/
Homepage: http://cse.ucdenver.edu/~farnoush/
Phone: 303-315-0116