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Remote Signal Processing Postdoctoral Jobs in Chicago, IL

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Remote Signal Processing Postdoctoral information

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$25.8K

$60.8K

$86K

How much do remote signal processing postdoctoral jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote signal processing postdoctoral in Chicago, IL is $60,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $68,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote signal processing postdoctoral?

To thrive as a Remote Signal Processing Postdoctoral Researcher, you need a Ph.D. in electrical engineering, computer science, or a related field, with expertise in signal processing theory and algorithms. Experience with programming languages such as Python or MATLAB, and familiarity with simulation tools or machine learning frameworks, is typically required. Strong analytical thinking, independent research skills, and effective written and verbal communication set outstanding candidates apart. These skills are crucial for advancing research, publishing results, and collaborating remotely with interdisciplinary teams.

What are some common challenges faced by remote signal processing postdoctorals, and how can these be effectively managed?

Remote signal processing postdocs often encounter challenges such as limited access to specialized lab equipment, potential communication barriers with collaborators, and the need for strong self-motivation and time management. To address these, many researchers leverage cloud-based computing resources, regularly schedule virtual meetings, and participate in collaborative online platforms to stay connected with their teams. Setting clear research goals and maintaining open communication with supervisors can also help ensure ongoing progress and support while working remotely.

What is a remote signal processing postdoctoral?

A Remote Signal Processing Postdoctoral researcher is a scientist who has recently completed their Ph.D. and conducts advanced research in signal processing—analyzing and interpreting signals such as audio, images, or sensor data—while working remotely. This position typically involves developing new algorithms, analyzing data, and publishing results in scientific journals. The 'remote' aspect means that the researcher can work from anywhere, collaborating with teams and contributing to projects online. These roles are common in fields like telecommunications, biomedical engineering, and geosciences.

What are the most commonly searched types of Signal Processing Postdoctoral jobs in Chicago, IL?

The most popular types of Signal Processing Postdoctoral jobs in Chicago, IL are:

What are popular job titles related to Remote Signal Processing Postdoctoral jobs in Chicago, IL?

For Remote Signal Processing Postdoctoral jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Remote Signal Processing Postdoctoral jobs in Chicago, IL look for?

The top searched job categories for Remote Signal Processing Postdoctoral jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Remote Signal Processing Postdoctoral jobs?

Cities near Chicago, IL with the most Remote Signal Processing Postdoctoral job openings:

Remote Signal Processing Postdoctoral jobs near you

Digital Signal Processing (DSP) Engineer - AI/ML Ops / Remote

Apetan Consulting llc

Chicago, IL • Remote

$80 - $150/hr

Contractor

Re-posted 4 days ago

Job description

Digital Signal Processing (DSP) Engineer – AI/ML Ops
Location: Chicago, IL (Hybrid/Onsite Preferred)
 
Responsibilities
• Design and implement advanced DSP algorithms for real-time and offline signal processing.
• Develop AI/ML models for signal classification, anomaly detection, feature extraction, and predictive analytics.
• Build scalable data pipelines for signal acquisition, preprocessing, and model training.
• Deploy ML models into production using MLOps best practices.
• Optimize DSP and AI algorithms for latency, throughput, and computational efficiency.
• Collaborate with data scientists, embedded engineers, and software development teams.
• Implement CI/CD pipelines for machine learning workflows.
• Monitor production models for drift, performance, and reliability.
• Work with cloud-native AI services and containerized deployments.
• Document architecture, algorithms, and deployment processes.
 
Required Qualifications
• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 5+ years of experience in Digital Signal Processing.
• Strong knowledge of: o Digital Filters o FFT o Wavelets o Spectral Analysis o Adaptive Filtering o Time-Series Signal Processing
• Proficiency in Python and C/C++.
• Experience with TensorFlow or PyTorch.
• Hands-on experience building ML pipelines.
• Experience with Docker and Kubernetes.
• Experience with Git and CI/CD. Preferred Qualifications
• Experience with MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML.
• Experience deploying AI models at the edge.
• Familiarity with NVIDIA CUDA or GPU optimization.
• Experience with audio, radar, RF, image, LiDAR, or sensor signal processing.
• Knowledge of LLMs and Agentic AI is a plus.
• Experience working in regulated industries (Healthcare, Automotive, Aerospace, Telecom, Industrial).