Associate Research Scientist; PREP

Overview

PREP Research Associate

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas.

Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Research

Title:

Indoor Localization, Tracking, and Navigation

The work will entail:

• Basic research leading to the development of novel indoor localization and tracking methods, algorithms, and systems
• Evaluating the performance of such methods, algorithms, and systems via modeling and simulation
• Performance evaluation via the development of system prototypes, when warranted
• Test and evaluation of commercial-off-the-shelf (COTS) indoor localization solutions
• Literature survey of pedestrian navigation techniques in indoor environments
• Assessment of the efficacy of 5G wireless technology and indoor localization techniques, particularly in the context of public safety scenarios

Key responsibilities will include, but are not limited to:

• Reading scholarly papers on indoor localization and understanding their contributions and how the proposed systems work
• Writing code for modeling, simulation, and performance evaluation of indoor localization systems
• Developing novel indoor localization systems
• Publishing the research results and making technical presentations on the work done
• Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization

• A doctoral degree in electrical engineering, computer science, or other related fields is preferred but not required.
• The prospective applicant does not have to be an expert in localization; however, good knowledge of wireless communications, digital signal processing, and computer algorithms is required. If necessary, the applicant selected for the position will be trained in indoor localization.
• Proficiency in programming languages such as C/C++, Python, and MATLAB is required, along with good computing skills.
• Strong oral and written communication skills.
• The ability to develop prototypes of indoor localization systems is a plus.

Please upload the following with your application:

• CV/Resume
• Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume.
• Self portraits
• Phone number
• Home address/Country
• Citizenship status
• Languages spoken
• Sex/Gender
• 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 for 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.

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 the information you submit for the purpose stated.

To apply for this position, visit:

Salary Range

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

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Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression,…