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Research In Jobs in Baltimore, MD (NOW HIRING)

This Professional Track, Assistant Research Professor position will have a primary appointment as a ... The University of Maryland College Park is an internationally recognized leader in creating ...

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Research In information

Which 3 jobs will survive AI?

Research roles that require complex problem-solving, creativity, and emotional intelligence, such as research scientists, data analysts, and healthcare professionals, are likely to persist despite AI advancements. These jobs often involve critical thinking, human interaction, and specialized expertise that AI cannot fully replicate. Skills in adapting to new tools and continuous learning will also support job security in these fields.

What are research interns?

Research interns are typically students or recent graduates who work temporarily in academic, corporate, or government research settings. Their main role is to assist experienced researchers with experiments, data analysis, literature reviews, and other tasks relevant to ongoing projects. Research internships offer hands-on experience, skill development, and networking opportunities in a specific scientific or scholarly field. These positions are often stepping stones toward advanced study or full-time research careers.

What are the key skills and qualifications needed to thrive as a Research Intern, and why are they important?

To thrive as a Research Intern, you need strong analytical abilities, attention to detail, and foundational knowledge in your field of study, often supported by relevant coursework or enrollment in a degree program. Familiarity with data analysis tools (such as Excel, SPSS, or Python), literature review databases, and basic laboratory or research management systems is typically required. Curiosity, effective communication, and a collaborative mindset help interns stand out in team-based research environments. These skills and qualities enable interns to contribute meaningfully to research projects, learn efficiently, and support the overall goals of the research team.

What is the difference between Research In vs Research Analyst?

AspectResearch InResearch Analyst
Required CredentialsTypically requires a degree in research, social sciences, or related fieldsRequires a degree in research, statistics, or related disciplines
Work EnvironmentOften in research institutions, labs, or corporate R&D departmentsUsually in corporate, market research firms, or financial institutions
Employer & Industry UsageUsed in research-focused organizations across various industriesCommon in finance, marketing, and consulting sectors
Search & Comparison IntentPeople compare roles related to research activities in organizationsIndividuals looking into research roles with analytical focus

Research In and Research Analyst roles both involve research activities but differ mainly in industry focus and work environment. Research In typically refers to research positions within organizations or labs, while Research Analysts are more common in corporate and financial sectors. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What professions make $500,000 a year?

In research-related fields, senior roles such as principal investigators, research directors, or chief scientists in industries like pharmaceuticals, biotechnology, or technology can earn $500,000 or more annually, often through a combination of salary, bonuses, and profit sharing. These positions typically require advanced degrees, extensive experience, and leadership responsibilities within their organizations.

How does a Research Intern typically contribute to ongoing projects within a research team?

As a Research Intern, you will often support ongoing projects by assisting with data collection, literature reviews, and preliminary analysis. You may also help prepare presentations, write reports, or even participate in brainstorming sessions with senior researchers. Interns are encouraged to ask questions and proactively seek feedback, which helps you learn and integrate quickly. Collaboration with other interns and team members is common, offering a valuable opportunity to gain exposure to the research process and develop professional skills.

What jobs make $3,000 a day?

High-earning jobs such as specialized surgeons, corporate lawyers, investment bankers, and top-tier consultants can earn $3,000 or more per day, often due to their expertise, experience, and demanding schedules. These roles typically require advanced education, certifications, and significant professional experience.

What jobs can you do in research?

Research jobs include roles such as research analyst, research scientist, research assistant, and research coordinator. These positions involve data collection, analysis, and reporting across various fields like healthcare, technology, social sciences, and engineering, often requiring strong analytical skills and familiarity with research tools and methodologies.
What cities near Baltimore, MD are hiring for Research In jobs? Cities near Baltimore, MD with the most Research In job openings:
Research Scientist - RF Machine Learning

Research Scientist - RF Machine Learning

Peraton

College Park, MD • On-site

$135K - $216K/yr

Full-time

Posted 2 days ago


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

42nd of 210 rated it services


Job description

Responsibilities
Peraton Labs is seeking a poly cleared Senior Research Scientist to support cleared research and development efforts for a Maryland-based IC customer. This role will focus on leading the design, development, prototyping, and evaluation of RF Machine Learning algorithms and signal processing techniques for advanced wireless, spectrum, cyber, and communications research.
You'll work on mission-focused R&D efforts that move from research concepts to working prototypes and operationally relevant capabilities. You will collaborate with researchers, software engineers, signal processing experts, and customer stakeholders to solve complex problems involving RF sensing, signal characterization, waveform analysis, spectrum awareness, and machine learning-enabled wireless systems.
This position requires full-time on-site work at a customer site near College Park, MD.
Key responsibilities may include
  • Lead the design, development, prototyping, and evaluation of RF/ML algorithms for wireless, spectrum, and communications applications
  • Research and implement machine learning approaches for RF signal detection, classification, characterization, anomaly detection, emitter identification, spectrum sensing, or waveform analysis
  • Develop and evaluate algorithms using modern machine learning frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, JAX, or similar tools
  • Apply strong digital signal processing and RF domain knowledge to develop, train, test, and validate models against real-world or simulated RF data
  • Design data collection, labeling, preprocessing, feature extraction, training, evaluation, and experimentation workflows for RFML research
  • Develop software prototypes using Python, C/C++, MATLAB, GNU Radio, or similar tools
  • Analyze RF signals, wireless protocol behavior, modulation characteristics, channel effects, interference, noise, and system performance
  • Work with RF datasets, signal captures, IQ data, SDR platforms, and lab or field-collected spectrum data
  • Support integration of RFML capabilities into larger research prototypes, testbeds, cyber experimentation platforms, or operationally relevant systems
  • Communicate research findings, technical approaches, experiment results, and prototype capabilities through customer briefings, technical reports, whitepapers, and publications
  • Provide technical leadership, mentor junior researchers or engineers, and help shape future RFML research direction

*This position may be eligible for an increased sign-on bonus. Eligibility, bonus amount, and applicable terms and conditions will be discussed during the recruiting process*
#MDFSP
#PLABS26
Qualifications
Minimum Qualifications
  • Minimum of 6+ years of experience with a Bachelor's degree, 4+ years of experience with a Master's degree, or 2+ years of experience with a Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related discipline. In lieu of a Bachelors, an additional 4 years of experience is required for a total of 10+ years.
  • Strong background in Radio frequency Machine Learning, digital signal processing, wireless communications, or RF systems research
  • Experience designing, developing, training, testing, or evaluating machine learning models for RF, wireless, spectrum, signal processing, or communications applications
  • Experience with modern machine learning frameworks such as PyTorch, TensorFlow, Keras, scikit-learn, or similar tools
  • Strong Experience programming in Python and at least one additional language such as C/C++, Java, or similar
  • Experience working with RF data, signal captures, IQ samples, simulated waveforms, or real-world wireless datasets
  • Experience working in Linux-based dev environments
  • Ability to develop, test, troubleshoot, document, and demonstrate research prototypes
  • Strong written and verbal communication skills, including the ability to present technical concepts and research results to technical stakeholders
  • US Citizenship is a requirement for this position
  • This position requires an active/current TS/SCI w/ Polygraph

Desired Additional Qualifications
  • Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or a related technical field is preferred
  • Demonstrated history of research in Machine Learning and RF spectrum domains, including publications, prototypes, proposals, patents, technical reports, or customer-facing research briefings
  • Experience with RFML applications such as signal classification, modulation recognition, emitter identification, spectrum sensing, anomaly detection, interference detection, protocol inference, or RF fingerprinting
  • Experience with SDR platforms such as Ettus USRP, HackRF, BladeRF, LimeSDR, or similar hardware
  • Familiarity with SDR software and RF development tools such as GNU Radio, UHD/USRP, MATLAB, Simulink or similar tools
  • Experience with wireless systems or protocols such as LTE, 5G, Wi-Fi, SATCOM, MANET, tactical radio systems, mesh networks, or custom waveform environments
  • Experience with RF test equipment such as spectrum analyzers, signal generators, oscilloscopes, vector signal analyzers, channel emulators, or RF front-end equipment
  • Experience with deep learning approaches for signal processing, including CNNs, RNNs, transformers, autoencoders, contrastive learning, self-supervised learning, or generative models
  • Experience with data engineering for RFML, including dataset generation, augmentation, labeling, synthetic data, simulation, model evaluation, and experiment tracking
  • Experience with tools such as NumPy, SciPy, Pandas, cuSignal, CUDA, MLflow, Weights & Biases, DVC, or similar tools
  • Experience integration ML models into deployable prototypes, edge systems, containers, testbeds, or cyber/radio experimentation environments
  • Experience with RF cyber research, wireless security, electronic warfare, spectrum operations, protocol reverse engineering, or adversarial ML
  • Ability to serve as a technical lead, task lead, or principal investigator on DoD/IC research efforts

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

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At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017