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Phd Signal Processing Jobs in Tennessee (NOW HIRING)

Senior Electrical Engineer

Knoxville, TN · On-site

$92K - $120K/yr

Engineers gain mentorship from PhD-level experts, exposure to diverse technical challenges, and ... signal processing, hardware, or DAQ systems • Expertise using oscilloscopes, spectrum/network ...

Engineers gain mentorship from PhD-level experts, exposure to diverse technical challenges, and ... S. citizenship required Preferred • Coursework/experience in signal processing, circuits ...

Senior Mechanical Test Engineer

Nashville, TN · On-site

$100K - $133K/yr

Post-process large datasets, reduce data, and perform statistical analysis using tools like MATLAB ... PhD with 2+ years of experience; BS in Engineering with 10+ years of directly related experience

Clinical Psychologist

Portland, TN · On-site

$80K - $110K/yr

Qualifications A doctorate degree (PsyD or PhD) in Psychology and a current license (or eligible to ... If you would like more information about how your data is processed, please contact us.

Clinical Psychologist

Portland, TN

$80K - $110K/yr

Qualifications A doctorate degree (PsyD or PhD) in Psychology and a current license (or eligible to ... If you would like more information about how your data is processed, please contact us. apply for ...

Clinical Psychologist

Portland, TN · On-site

$80K - $110K/yr

Qualifications A doctorate degree (PsyD or PhD) in Psychology and a current license (or eligible to ... If you would like more information about how your data is processed, please contact us.

Phd Signal Processing information

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as software engineering, data science, or certain executive roles can earn $500,000 or more annually. These positions often require advanced skills, leadership responsibilities, and work in high-demand industries or companies with competitive compensation packages.

What are PhD Signal Processing professionals?

PhD Signal Processing professionals are experts who have earned a Doctor of Philosophy (PhD) in the field of signal processing, which involves analyzing, modifying, and interpreting signals such as sound, images, and scientific measurements. They apply advanced mathematical and computational techniques to extract meaningful information from complex data. These specialists often work in research, academia, telecommunications, medical imaging, audio engineering, and other industries that require sophisticated data analysis. Their work is crucial in developing technologies like speech recognition, radar systems, and biomedical devices.

What can I do with a PhD in radiology?

A PhD in radiology prepares individuals for research, development, and academic roles focused on medical imaging technologies such as MRI, CT, and ultrasound. Graduates often work in universities, research institutions, or industry settings, utilizing skills in signal processing, image analysis, and data interpretation to advance diagnostic methods and imaging software. Additional certifications or collaborations with clinical professionals may be required for clinical applications.

Is signal processing in demand?

Signal processing is in high demand across industries such as telecommunications, aerospace, healthcare, and defense, where expertise in algorithms, data analysis, and software tools like MATLAB or Python is valued. Professionals with a PhD in signal processing are often sought for research, development, and advanced system design roles, especially in areas like sensor data analysis and machine learning integration.

What are some common challenges faced by professionals in PhD-level Signal Processing roles and how can they be addressed?

PhD-level Signal Processing professionals often encounter challenges such as managing large, complex datasets and developing novel algorithms that balance accuracy and computational efficiency. Staying current with rapidly evolving technologies and research can also be demanding. These challenges are typically addressed through ongoing professional development, collaboration with multidisciplinary teams, and leveraging advanced computational tools. Regularly participating in conferences, workshops, and peer discussions can also help professionals overcome research hurdles and stay innovative in their field.

What are the key skills and qualifications needed to thrive as a PhD Signal Processing specialist, and why are they important?

To thrive as a PhD Signal Processing specialist, you need deep expertise in mathematics, statistical analysis, and advanced signal processing algorithms, underpinned by a doctoral degree in electrical engineering or a related field. Proficiency in MATLAB, Python, C++, and experience with simulation tools and machine learning frameworks are commonly required, along with publications or research experience. Strong analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are vital for designing innovative solutions, advancing research, and conveying complex findings to both technical and non-technical stakeholders.

What is the difference between Phd Signal Processing vs Signal Processing Engineer?

AspectPhd Signal ProcessingSignal Processing Engineer
Required CredentialsPhD in Signal Processing or related fieldBachelor's or Master's in Electrical Engineering, Computer Science, or related field
Work EnvironmentResearch labs, academia, R&D departmentsIndustry, technology companies, product development
Employer & Industry UsageUniversities, research institutions, some tech companiesTech firms, telecommunications, aerospace, defense
Common Search & ComparisonYesYes

The main difference between Phd Signal Processing and Signal Processing Engineer lies in their focus and credentials. A PhD typically involves advanced research, theoretical work, and academic or R&D roles, while a Signal Processing Engineer applies practical skills in industry to develop and implement signal processing solutions. Both roles require knowledge of signal processing concepts, but their work environments and career paths differ significantly.

Will DSP be replaced by AI?

Digital Signal Processing (DSP) is a fundamental skill for signal processing professionals, including those with a PhD in the field. While AI and machine learning techniques are increasingly integrated into signal analysis, they complement rather than replace traditional DSP methods, which remain essential for real-time processing and system design. Signal processing roles often require expertise in both DSP algorithms and AI tools to develop advanced solutions.
What are popular job titles related to Phd Signal Processing jobs in Tennessee? For Phd Signal Processing jobs in Tennessee, the most frequently searched job titles are:
What cities in Tennessee are hiring for Phd Signal Processing jobs? Cities in Tennessee with the most Phd Signal Processing job openings:
Group Leader, Multimodal Sensor Analytics

Group Leader, Multimodal Sensor Analytics

Oak Ridge National Laboratory

Knoxville, TN

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Oak Ridge National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 120 rated laboratories


Job description

Requisition Id 16263 

Overview:  

We are seeking a group leader who will focus on AI/ML methods/application, image/signal processing, and sensor systems.  This position resides in the Multimodal Sensor Analytics (MSA) group in the Energy Sensing Analytics and Communications (ESAC) section, Electrical and Energy Infrastructures Division (EEID), Energy Science and Technology Directorate (ESTD), at Oak Ridge National Laboratory (ORNL).  

The MSA Group Leader will be responsible for leading research in AI/ML for sensor analytics systems, work with the section head to develop strategies for maintaining and growing technical application spaces and leading a group of 8-12 researchers within MSA. Special emphasis and focus is towards the research, development, and demonstration of advanced image/signal processing, machine learning and artificial intelligence techniques applied toward AI security, biometrics, computational imaging, and energy infrastructures.

Major Duties/Responsibilities: 

  • Initiate, lead and perform independent R&D on an ongoing basis.
  • Develop and grow programs in image/signal processing, applied machine learning, and artificial intelligence for applications for application areas including AI security, computational imaging, biometrics, nuclear nonproliferation, and energy infrastructures.
  • Develop a vision and implement a cohesive group research strategy to ensure the success of new and ongoing research projects to position the group for future success.
  • Assist staff in setting performance goals consistent with the group’s strategy and members’ long-term career goals. Provide feedback to address performance issues in a timely manner.
  • Provide relevant input to assist the ESAC Section Head with staff development while providing direct and impactful guidance to staff on regular basis.
  • Attract a quality, diverse pool of top candidates and hire staff members who are committed to world-class R&D and aspire to be the best in their field.
  • Lead by example by exercising the principles in ORNL’s “Research Code of Conduct” as a guide for proposing, performing, and communicating research.
  • Serve as immediate supervisor for staff members in group.
  • Advance the reputation of the group members and standing of the group through establishing collaborations, Professional Society leadership and involvement, and organization of technical events.
  • Support group members by consistently reviewing technical products such as proposals, publications, and artifacts to ensure high quality and consistency with ORNL standards.
  • Hold regular scientific/technical group meetings and be visible in the labs and workplace.
  • Assume front-line responsibility for safety in the group’s laboratory; mentor and empower the Laboratory Space Managers to create a strong safety culture.
  • Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

Basic Qualifications:

  • PhD in electrical/computer engineering, computer science, or a related discipline
  • A minimum of 8 years of relevant experience in image/signal processing and machine learning
  • Demonstrated experience and success in leading R&D teams

Preferred Qualifications:

  • Excellent written and oral communication skills
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

Special Requirements:

  • Visa sponsorship is not available for this position
  • This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program.  In addition, due the SCI, you may also be subject to random polygraph testing. 

About ORNL:

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.

Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.


ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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