Postdoctoral Fellow; PREP

Overview

PREP Research Associate

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may collaborate with researchers at academic institutions on specific projects; such institutions must be the recipient of a PREP award. The PREP program brings staff from diverse 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.

Indoor Localization, Tracking, and Navigation

• 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 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 efficacy of 5G wireless technology and indoor localization techniques, particularly in the context of public safety scenarios

• 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• Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization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 applicant does not have to be an expert in localization; 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
• Good computing skills and proficiency in programming languages, such as C/C++ and Python, and MATLAB is required
• Strong oral and written communication skills
• Ability to develop prototypes of indoor localization systems is a plus

Please upload the following with your application:

• CV/Resume (limit to 3 pages) with a valid email address for contact

Note:

Do not include items such as self portraits, phone number, home address, citizenship status, languages spoken, sex/gender, private privacy statements, or other personal information on the CV/resume. For full details on institutional requirements, refer to the job posting.

• Salary Range:
  The referenced salary range represents the minimum and maximum salaries for this position and is based on the institution's good faith belief at the time of posting. The actual compensation offered may vary based on location, skills, experience, internal equity, market conditions, and other factors.
• Total Rewards:
  Johns Hopkins offers a total rewards package; more information can be found in the benefits and worklife section.
• Equal Opportunity
  
  Employer:
  
  The institution is committed to equal opportunity and 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, veteran status, or other legally protected characteristics.