Postdoctoral Research Associate - Mechanical Engineering (cmu)

Job Description

Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in interdisciplinary research centers across the university.

Carnegie Mellon University’s department of Mechanical Engineering and the Center for Atmospheric Particle Studies (CAPS) at Carnegie Mellon University is searching for a Postdoctoral Research Associate to join their team.  This is an exciting opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by providing support by participating (75%) in the operation and data analysis from the Pittsburgh location in the ASCENT network. The remaining (25%) effort will be filled with other projects in CAPS.

ASCENT (Atmospheric Science and Chemistry mEasurement NeTwork) is a new comprehensive, high-time-resolution, long-term measurement network in the U.S. for the characterization of aerosol chemical composition and physical properties. Each site is equipped with a suite of advanced aerosol instrumentation for real-time measurements of fine aerosol chemical composition and properties: Aerosol Chemical Speciation Monitor (ACSM, non-refractory aerosols), Xact (trace metals), Aethalometer (black/brown carbon), and Scanning Mobility Particle Sizer (SMPS, aerosol number size distribution and concentration).

ASCENT provides unique opportunities to advance training and STEM engagement for early career researchers. Students and postdocs working in ASCENT have ample opportunities for collaboration, data sharing, and presentation. ASCENT early-career researchers are also included as leaders and key members on our internal committees for standard operating procedures, data analysis, and outreach.

The ideal candidate is someone who wants the opportunity to apply innovative and creative approaches to analyzing large and complex datasets. The suite of ASCENT instruments provides a rich dataset at hourly time resolution. Learning how to synthesize the complementary data across the suite of instruments and across the network will be key next steps.

In addition to the project presented here, the successful candidate will have the opportunity to participate in other ongoing projects in CAPS. Members of CAPS are recognized internationally as leaders in the study of air quality and atmospheric chemistry. Our unifying theme is the behavior of particulate matter in the atmosphere, including emissions, formation, transformation and deposition of particles as well as their climatological and health effects. We currently consist of seven interwoven research groups directed by faculty members associated with five academic departments (Chemistry, Chemical Engineering, Civil and Environmental Engineering, Engineering and Public Policy, Mechanical Engineering).

Albert Presto’s research focuses on pollutant emissions from energy extraction and consumption and the subsequent atmospheric transformations that these emissions undergo.   Presto investigates the contributions of primary and secondary pollution with ambient measurements, laboratory experiments, source testing of pollution sources, and atmospheric models.

JOB IS FROM: postdocjobs.oneVIEW

Your core responsibilities will include:

• Participating in the maintenance of the Pittsburgh ASCENT site, including instrument maintenance and calibration.

• Analyzing of data from Pittsburgh and other ASCENT sites.

• Participating in ASCENT meetings and interaction with other ASCENT sites.

• Scientific communication and publication.

• Other duties as assigned.

Flexibility, excellence, and passion are vital qualities within Carnegie Mellon University. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• PhD in Mechanical, Chemical, or Civil Engineering; Chemistry; Atmospheric or Environmental Science; or a related discipline

• Experience with ambient or laboratory atmospheric measurements.

• Knowledge of analytical software tools such as Python, R, Matlab, or Igor.

Joining the CMU team opens the door to an array of exceptional benefits, available to all full-time Carnegie Mellon University employees. Experience the full spectrum of advantages, from comprehensive medical, prescription, dental, and vision insurance to enticing retirement savings programs. Unlock your potential with tuition benefits, and take well-deserved breaks with generous paid time off and holidays. Rest easy knowing you're covered by life and accidental death and disability insurance. For a comprehensive overview of the benefits awaiting you, explore: https://www.cmu.edu/jobs/benefits-at-a-glance.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role & responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique key skills and the diverse perspectives you bring. Our commitment to fostering an inclusive work environment means we also account for geographic differentials. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in this exciting opportunity?! Apply today!

Location

Pittsburgh, PA

Job Function

Pre/Post-Doctoral Associates & Fellows

Position Type

Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time

Full time

Pay Basis

Salary

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