Jobs UNIVERSITY OF COLORADO BOULDER

• Designing, building, maintaining, and using optical measurement systems based on inelastic light scattering.
• Developing high speed electronic (microwave) measurements, including pulsed, harmonic, sampled and real-time measurement methods using microwave sources, arbitrary waveform generators, and oscilloscopes.  
• Analyze heterogeneous data sources including optical spectra, read- and write-error rate datastreams, real-time and sampled high speed electronic traces.
• Analyze temperature-dependent magnetization data using advanced atomistic fitting models.
• Fabricating magnetoelectronic devices using optical and electron beam lithography, reactive and physical ion etching methods.
• Presenting results at internal meetings, and occasional meetings with external stakeholders.
• Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.

Privacy Act Statement

Authority:  15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)

Purpose:  The National Institute of Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.  

PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics.  This collection of information is needed to facilitate the administrative functions of the PREP Program.

Routine Uses:  NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements.  Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices:  NIST-1: NIST Associates. 

Disclosure:  Furnishing this information is voluntary.  When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. By applying to a CHIPS-funded PREP opportunity, you also acknowledge that participation in the project requires signing a Non-Disclosure Agreement (NDA) prior to beginning any work.

• The salary range for this full-time position is $78,000 - $135,000 annually.
• Onboarding/relocation assistance may be available, however, if within a 12-month period you exercise your right to willfully terminate your employment with the University of Colorado, you hereby agree to reimburse the department for your relocation expense.

At the University of Colorado Boulder, we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical, dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for local transit. As one of Boulder County’s largest employers, CU Boulder offers an inspiring academic community and access to world-class outdoor recreation. Explore additional perks and programs through the CU Advantage program.

• A PhD in Physics, Electrical Engineering, or related field.

• Several years of post-degree experience in relevant areas preferred.
• Experience with the design and fabrication of magnetic nanostructures including magnetron sputter and e-beam evaporative deposition or molecular beam epitaxy, electron-beam and photo-lithography.
• Experience with characterization tools including SQUID, Ferromagnetic Resonance Spectroscopy, MOKE, x-ray reflectometry, secondary-ion mass spectrometry.
• Demonstrated experience with micromagnetic simulation tools including MuMAX.
• Demonstrated experience in temperature-dependent magnetic simulations, in particular atomistic simulations of the temperature-dependence of magnetization.
• Experience developing novel data acquisition platforms to acquire DC and RF data at scale. 
• Familiarity with scripting languages including Python and their implementation on GPU clusters for data analysis.
• Ability to develop tools needed to analyze large datasets using Python, MATLAB, or similar programming environments.
• Strong oral and written communication skills.
• Track recording of publishing in peer reviewed scientific journals.