Jobs

Job Number: 64284-02

United Technologies Corporation, a Fortune top 50 company is a dynamic global corporation operating at the leading edge of commercial and military aviation, aerospace systems, climate control, elevator design, security and fire protection as well as hydrogen fuel cell development.

The candidate is expected to interact with United Technologies Research Center (UTRC) Program Offices and United Technologies Corporation (UTC) business units to enhance existing programs and support efforts involving decision support, diagnostics, prognostics and health monitoring system solutions, data mining methodologies and change and anomaly detection methods.

The candidate must be able to work effectively in a multidisciplinary, multinational team environment focused on innovation, have exceptional communication skills, and be capable of interacting with the UTRC management team. Additionally, the candidate must be able to provide timely, accurate and detailed reports and presentations.

The successful candidate will be expected to:

• Analyze large data sets using data mining, machine learning, pattern recognition, and/or statistical methods such as robust hypothesis testing.
• Generate actionable insights for improving product quality, optimizing system performance, etc.
• Design and carry out experiments to evaluate different algorithms and there impact on UTC products.
• Research and explore new methods in the areas of data mining, machine learning, pattern recognition, decision making, game theory, data and information fusion, and statistical methods.
• Proactively identify areas for further investigation, support critical decisions on business strategies and new product possibilities.
• Author technical papers; be active in internal and external networks and, in general, be an expert in the field of advance data analysis.

Preferred: Ph.D. in Computer Science, Electrical or Computer Engineering, Mathematics or Statistics, plus 2-5 years of industrial or academic experience after completion of the Ph.D. in disciplines as outlined above.

Expert knowledge and a minimum of 2-5 years of industrial or academic experience (post M.S.) in at least one of the following: (1) multi-sensor data fusion for context-specific decision support relevant to diagnostic, prognostic and health monitoring system applications, or (2) data mining, pattern recognition, machine learning and robust hypothesis testing for stationary and non-stationary processes in discrete or continuous variables. A detailed understanding of data warehousing would be a plus.

Demonstrated ability to work on a team to successfully achieve desired technical outcomes within time and budget constraints.

Demonstrated record of technical contributions, including publications in refereed technical journals.

Excellent communication skills; innovative strategic and technical thinker; high energy; team player.

Contact:
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United Technologies Corporation is An Equal Opportunity/Affirmative Action Employer.