>> A-184631-26: Assistant Research Scientist (PREP0003758)

Johns Hopkins University; Gaithersburg (MD); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Career development opportunities

Job summary

A leading research university in Maryland is seeking an Assistant Research Scientist to develop real-time image processing algorithms for additive manufacturing using FPGA, CPU, and GPU architectures. The successful candidate will work on image analysis algorithms and AI workflows, requiring a graduate degree in Computer Science or related fields, along with relevant experience. This role offers a comprehensive rewards package supporting health and career benefits.

Qualifications

• Completed or in‑process graduate degree in Computer Science, Engineering, Manufacturing, or a related field.
• 1–2 years of relevant experience.
• Familiarity with image‑analysis algorithms.
• Experience with FPGA programming.
• Experience with CPU and/or GPU image analysis.
• Experience with AI/Deep‑learning workflows, such as LSTMs.
• Ability to develop prototypes of tools needed to analyze data.
• Strong oral and written communication skills.

Responsibilities

• Develop image analysis algorithms targeting the high‑speed camera’s built‑in FPGA.
• Develop image analysis algorithms targeting the capture card’s built‑in FPGA.
• Develop image analysis algorithms for traditional computer CPUs and GPUs.
• Measure real‑time throughput for developed image‑analysis workflows.
• Create AI/Deep‑learning workflows for training models to analyze image sequences.

Skills

Image‑analysis algorithms

FPGA programming

CPU and GPU image analysis

AI/Deep-learning workflows

Prototyping tools

Communication skills

Education

Graduate degree in Computer Science, Engineering, Manufacturing

Job description

Assistant Research Scientist (PREP0003758)

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. The role focuses on developing real‑time image processing algorithms for additive manufacturing using FPGA, CPU, and GPU architectures.

Key Responsibilities

• Develop image analysis algorithms targeting the high‑speed camera’s built‑in FPGA.
• Develop image analysis algorithms targeting the capture card’s built‑in FPGA.
• Develop image analysis algorithms for traditional computer CPUs and GPUs.
• Measure real‑time throughput for developed image‑analysis workflows.
• Create AI/Deep‑learning workflows for training models to analyze image sequences.

Qualifications

• Completed or in‑process graduate degree in Computer Science, Engineering, Manufacturing, or a related field.
• 1–2 years of relevant experience.
• Familiarity with image‑analysis algorithms.
• Experience with FPGA programming.
• Experience with CPU and/or GPU image analysis.
• Experience with AI/Deep‑learning workflows, such as LSTMs.
• Ability to develop prototypes of tools needed to analyze data.
• Strong oral and written communication skills.

Salary Range

The referenced salary range represents minimum and maximum salaries for this position, based on Johns Hopkins University’s good faith belief at the time of posting. Actual compensation may vary based on location, skills, experience, and other factors.

Total Rewards

Johns Hopkins offers a comprehensive total rewards package supporting health, life, career, and retirement benefits.

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.