Nanoinformatics Core Director - University of California-Los Angeles in Los Angeles California

Unfortunately, this job is expired as of 12/17/2013.

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University of California-Los Angeles

Los Angeles, California 90095


United States

Categories

Detailed Job Description

Summary Statement:

The UC Center for Environmental Implications of Nanotechnology (UC CEIN) is hiring a Nanoinformatics Core Director for a large, multidisciplinary, multi institutional National Science Foundation/Environmental Protection Agency funded research center.  The UC CEIN Nanoinformatics Core is responsible for the development and implementation of cyberinfrastructure for environmental nanoinformatics.  The UC CEIN has been mandated by the National Science Foundation to develop a cutting-edge computational and data infrastructure for integrating datasets from national and international research partners to enable development of Center environmental models and facilitate the mandate for public availability of research data and nanoinformatics tools generated by the Center.  

The UC CEIN cyberinfrastructure structure will serve as an integrated platform for:  1) data/meta data management (data auditing, archiving, sharing, file management); 2) hosting and facilitating the development and use of modeling/simulation applications/packages (HDAT, MendNano, QSAR workflow development, image analysis); 3) development and integration of data analysis tools for use with UC CEIN data repositories and nanoinformatics  tools; 4) data analytics to update and assess data quality; 5) dynamic data reporting and summarization tools; 6) interface with external data repositories.   

Core Director will be responsible for developing an integrated data management interface, identifying, compiling and integrating large complex data sets from internal and external sources.  Data system development must be integrated into modeling packages (e.g., statistics and machine learning) currently used by the UC CEIN and other environmental research centers.  Moreover, it is critical to utilize/adapt open source data analysis systems and web-based implementation of Bayesian statistics inference tools.   

The Core Director will serve as a spokesperson for the UC CEIN cyberinfrastructure initiative and will be responsible for drafting publications for peer reviewed journals, representing the center at cyberinfrastucture working group meetings and national conferences, and drafting proposals for funding to federal and non-federal granting agencies.

About the UC CEIN:

The CEIN was established to generate further understanding of the environmental health and safety of nanomaterials. This effort is a major step for the U.S. to move forward in ensuring that the harnessing nanotechnology will be done in an environmentally responsible manner. The CEIN Theme on Environmental Decision Analysis is developing computational and decision making tools, which make use of CEIN generated data, to help both those in industry and government to better understand the potential impact of nanomaterials on our environment. An important goal of the overall effort is to be able to predict the type of nanomaterials (chemistry, morphology, etc.) that will be benign, and thus to be able to develop design tools that will help establish the type of nanomaterials that will be environmentally "safe" in various end-use applications. The CEIN provides a unique opportunity to be involved and contribute to a globally visible program that will forge a new research direction and paradigm shift geared to demonstrate the benefits of the linkages between engineering, mathematics, computer science and medicine. The position offers a unique opportunity to interact with students, faculty, industrial affiliates of the program, and international partners.  

Skills:

Candidate must have strong background in development of infrastructure for heterogeneous scientific data sets and experience with computational cluster hardware and system software. In addition, candidate should have extensive experience in: (a) data analytics (including the discovery and visualization of data patterns), (b) designing user interfaces, and (c) database design and management.  Understanding of the intricacies of data management systems and their flexibility are critical as the incorporation of large datasets will require adaptation to specific needs of the CEIN. 

  • Ph.D. in Computer Science, Applied Mathematics or Statistics, Software Engineering or equivalent – Required
  • Experience in maintaining and upgrading computational cluster hardware and system software (including backup systems) – Required
  • Development of computational infrastructure for large data sets – Required
  • Experience in conducting data analytics (including discovery and visualization of meaningful data patterns) – Required
  • Experience designing web-based user interfaces (utilizing open source software) – Required
  • Experience utilizing open source software to develop data analysis tools – Required
  • Experience with web-based implementation of Bayesian statistics inference tools – Preferred
  • Working knowledge of programming languages and protocols (Java, C++, Visual Studio, SQL, Silverlight, MatLab, R, Fortran, HTML, CSS, PHP, XML)

Keyword Phrases

  • Nanoinformatics
  • Modeling
  • Data systems
  • Data Integration
  • Open Source Data Analysis
  • Web based implementation
  • Bayesian statistics
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Employment Type:Administrative Staff
Degree Required: Doctorate
Experience: See Job Description
Level of Job: Manager
Salary: Commensurate with Experience
Type of School:Research University
Application Requirements: CV/Resume
Cover Letter
References