Associate Research Scientist (PREP0004446)

Johns Hopkins University; Baltimore (MD); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

Comprehensive health and retirement benefits

Job summary

Johns Hopkins University is seeking a Research Associate for a project on indoor localization, tracking, and navigation. The role involves performing technical work that supports scientific research collaborations and includes developing indoor localization methods and systems.

Applicants should have strong programming skills in C/C++, Python, and MATLAB, along with a good understanding of wireless communications. A doctoral degree in a related field is preferred, but not required. The position emphasizes communication skills and the ability to develop prototypes.

Qualifications

• Proficiency in programming languages such as C/C++, Python, and MATLAB is required.
• Good knowledge of wireless communications, digital signal processing, and computer algorithms is needed.
• Strong oral and written communication skills are essential.

Responsibilities

• Develop novel indoor localization systems and prototypes.
• Publish research results and give technical presentations.
• Evaluate performance of localization methods via simulation.

Skills

Programming in C/C++

Python

MATLAB

Wireless communications knowledge

Digital signal processing knowledge

Computer algorithms

Strong communication skills

Education

Doctoral degree in electrical engineering, computer science or related field

Job description

PREP Research Associate

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. It requires staff from a wide range of backgrounds to collaborate with researchers at academic institutions on specific projects of mutual interest. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Research Title

Indoor Localization, Tracking, and Navigation

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

• 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

Qualifications

• US Citizen Preferred
• 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; good knowledge of wireless communications, digital signal processing, and computer algorithms is required.
• 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.

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

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. 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, veteran status or other legally protected characteristics. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.