Welcome to the jobs & internship opportunities blog for the School of Computing at the University of Utah. This site is updated regularly with the latest information on jobs & internships available within the area of computer science. If you are an employer, and would like to list your opportunity on this blog, please contact coleman@cs.utah.edu. More jobs can be found here - http://careers.utah.edu
Help design, develop and implement software to enhance U/U Atmospheric
Science's publicly available web-based products
(http://mesowest.utah.edu) that are used extensively for many
applications, including protection of life and property. You will help
to interface applications with open source SQL databases and integrate
disparate systems into cohesive products. Responsibilities are to help
develop, manage, and design web-based software and databases for
internal and external customers using research-driven products. You
will assist with development of data standards and protocols for a
national level data expansion project designed to augment existing
federal agency programs. You should be comfortable working in a
congenial research environment alongside other research employees.
Candidates must be self-driven and accountable under minimal
supervision to reach project goals with guidance.
Qualifications, Skills, and Preferences
No one is expected to have all of the following, but the it does
provide an indication of the breadth of skills that are applicable.
Qualifications:
B.S. degree in computer science, atmospheric or related sciences, or
physics or mathematics. Experience in software development, with
knowledge of database integration, or academic research experience in
meteorology and computer science. Certificates of completion of other
technical programs a plus. Or equivalent education and technical
experience.
Skills:
Experience developing web application in PERL, HTML (XHTML/HTML5),
CSS, Javascript, and common Map APIs
Skills in designing and creating simple relational databases with
MySQL or equivalent database architecture
Familiarity with software version control
Strong experience working in standard and non-standard Unix environments
Ability to assist in application migration to new hardware and
technologies, including code reviews and rewrites in various languages
as needed
Preferences
- Work experience with scientific programming languages such as IDL,
Matlab, or Python Numpy and Scipy.
- Experience with parallel or multi-threaded applications.
- Familiarity with scientific computing and working with large data
sets, often in multidimensional gridded formats.
- Knowledge or experience with numerical weather prediction modeling.
- Knowledge and interest in general weather products.
- Ability to work with National Weather Service (NWS) and National
Centers for Environmental Prediction (NCEP) data products
For more information, contact Nola Lucke (nola.lucke@utah.edu) and see
the official job posting #44223 at the University of Utah HR web site:
http://www.employment.utah.edu/staff/
Company: Intel CorporationContact: Rajah Subramanian (rajah.a.subramanian@intel.com)Location: Phoenix, AZDuration: September 2011 – December 2011 (can be extended full or part time based on necessity and mutual agreement)Project Description:This project is to explore artificial intelligence techniques to improve and automate problem management analysis to aid the problem specialists get to the root cause or problems faster. We have over a million incidents in our environments and a manual analysis of these incidents is close to impossible. Using AI we expect to understand the “clusters” and the “possible causations” from a data centric perspective and enable the problem management process to be successful.The project involves the following tasks:
- Working with stakeholders to identify the correct data set from various data sources.
- Pull the data from these sources and perform necessary manipulation to prepare the data set for machine learning analysis.
- Work with subject matter experts to build data models for specific problems identified in the proof of concept.
- Build/Recommend GUI for displaying results from the machine learning analysis.
- Present results to stakeholders in a timely manner and constantly work with them for feedback and improvements.
- Build solutions that are reusable and re-implementable – the proof of concept will eventually be an IT wide application for data analysis.
- Potentially publish or present results in industry/research conferences.
Education:Pursuing M.S or PhD in USA.(PhD preferred)Skills Required:Data Mining,Machine Learning,Artificial Intelligence,Cluster Analysis,Statistical Tools with Visual Representation,Database Management,SQL or other Query languages,Good programming skills in any language – for pulling data from various sources.Students with previous experience working with large data sets are preferred.