Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Principal Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$206K - $284K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Principal Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$206K - $284K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Quick apply
Lead Algorithm & Signal Processing Engineer
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Lead Algorithm & Signal Processing Engineer with Security Clearance
Dayton, OH · On-site
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Lead Algorithm & Signal Processing Engineer with Security Clearance
Dayton, OH · On-site
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Lead Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Lead Algorithm & Signal Processing Engineer
Dayton, OH · On-site
$157K - $220K/yr
... interface with engineers across sectors and divisions at STR and researchers at academic ... graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Columbus, OH · On-site +1
Own the architectural workstreams that define the team's research and engineering bets - multiple ... Physics-informed ML or hybrid control experience - PINNs, neural ODEs, MPC with learned dynamics ...
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Columbus, OH · On-site +1
Own the architectural workstreams that define the team's research and engineering bets - multiple ... Physics-informed ML or hybrid control experience - PINNs, neural ODEs, MPC with learned dynamics ...
Neural Interface Research information
What is the difference between Neural Interface Research vs Neural Engineering?
| Aspect | Neural Interface Research | Neural Engineering |
|---|---|---|
| Required Credentials | Advanced degrees in neuroscience, biomedical engineering, or related fields | Similar credentials, often with additional focus on device design and implementation |
| Work Environment | Research labs, universities, biotech companies | Research labs, medical device companies, clinical settings |
| Industry Usage | Focuses on developing and understanding neural interfaces | Designing, testing, and applying neural interface devices |
| Common Search Intent | Research methods, latest advancements, academic roles | Product development, device engineering, clinical applications |
Neural Interface Research primarily involves exploring and understanding neural interfaces through scientific investigation, while Neural Engineering focuses on designing and developing neural interface devices for practical use. Both roles require similar educational backgrounds but differ in their application and work environment.
What are the key skills and qualifications needed to thrive in Neural Interface Research, and why are they important?
To thrive in Neural Interface Research, you need advanced knowledge in neuroscience, biomedical engineering, and signal processing, often supported by a graduate degree in a related field. Proficiency with programming languages (such as Python or MATLAB), neural data acquisition systems, and simulation tools is typically required. Exceptional problem-solving abilities, collaboration, and strong communication skills help researchers innovate and translate findings across multidisciplinary teams. These skills are crucial for developing cutting-edge neural technologies and ensuring rigorous, impactful scientific progress.
What is neural interface research?
Neural interface research is the scientific study and development of technologies that connect the nervous system, particularly the brain, with external devices or computers. These interfaces, often called brain-computer interfaces (BCIs) or neural prosthetics, enable direct communication between neural tissue and electronic systems. The goal of this research is to restore lost sensory or motor functions, treat neurological disorders, or enhance human capabilities. Neural interface research is highly interdisciplinary, involving neuroscience, engineering, computer science, and medicine. Advances in this field have the potential to revolutionize healthcare and human-machine interaction.
What are some common interdisciplinary challenges faced by professionals in Neural Interface Research teams?
Neural Interface Research teams often bring together experts from neuroscience, engineering, computer science, and clinical backgrounds, which can lead to challenges in communication and aligning goals across disciplines. Collaborators may use different terminology or have varying expectations regarding project timelines and outcomes. Successful professionals in this field need to be proactive in fostering clear communication, demonstrating adaptability, and developing a basic understanding of adjacent fields to effectively contribute to collaborative projects. These interdisciplinary challenges ultimately offer valuable opportunities for personal growth and innovation.
What are popular job titles related to Neural Interface Research jobs in Ohio? For Neural Interface Research jobs in Ohio, the most frequently searched job titles are:
- Temporary Microfabrication Engineer
- Agricultural Research Scientist
- Postdoctoral Scientist
- Work From Home Neuroscience Research Scientist
- Computer Research Scientist
- Brain Computer Interface
- Internship Research Software Engineer
- Artificial Intelligence Research Scientist
- Assistant Quantum Computing Research
- Director Brain Computer Interface
What job categories do people searching Neural Interface Research jobs in Ohio look for? The top searched job categories for Neural Interface Research jobs in Ohio are:
What cities in Ohio are hiring for Neural Interface Research jobs? Cities in Ohio with the most Neural Interface Research job openings:
Job description
About the Team:
The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies.
EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us.
The Role:
As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more.
What You Will Do:
- Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges
- Design and implement models and simulations for advanced RF systems
- Lead small teams and projects
- Support business development and proposal writing efforts
- Collaborate with diverse teams to deploy cutting-edge capabilities to prototype systems
Who You Are:
- This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government
- BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline
- 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years)
- Experience in two or more of the following areas:
- RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping
- Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++
- Strong mathematical, troubleshooting, written, and verbal communication skills
Even Better:
- Active Security Clearance
- Experience with:
- RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms
- Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow
- Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution
- Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems
- Ability to create and present briefings to customers and senior management to provide both high-level and deep technical solution explanations
Join EWNC and help shape the future of RF sensing and electronic warfare by developing innovative technologies that transition from advanced research into operational prototype systems. While this position is ideally suited for a Lead Engineer, applicants whose qualifications closely align with the requirements are encouraged to apply. We have opportunities for talented engineers at multiple experience levels in Woburn, MA, and Dayton, OH.
Pay Information
Full-Time Salary Range: $157,000 - $220,000
The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions.