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Electrical Machine Design Postdoctoral Jobs (NOW HIRING)

... postdoctoral scholar is expected to work in a highly collaborative environment in which electrical ... design, and machine learning. This is a term appointment funded for one year from the date of hire ...

POSITION SPECIFICS The Department of Electrical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work on using machine learning tools for electronic design ...

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Electrical Machine Design Postdoctoral information

What are the key skills and qualifications needed to thrive as an Electrical Machine Design Postdoctoral, and why are they important?

To thrive as an Electrical Machine Design Postdoctoral, you need an advanced degree (typically a Ph.D.) in electrical engineering or a related field, with deep expertise in electromagnetic theory, machine design, and power systems. Experience with simulation software like ANSYS Maxwell, MATLAB/Simulink, and CAD tools, as well as familiarity with industry standards, is crucial. Strong problem-solving abilities, research acumen, and effective communication are standout soft skills in this role. These competencies enable the development of innovative machine designs, successful research outcomes, and collaboration with multidisciplinary teams.

What are some typical challenges faced by postdoctoral researchers in electrical machine design, and how can they be addressed?

Postdoctoral researchers in electrical machine design often encounter challenges such as balancing independent research with collaborative projects, staying current with evolving technologies, and managing tight project timelines. These roles typically require rapid problem-solving and adaptability, as well as effective communication with multidisciplinary teams including engineers and manufacturing specialists. Building strong relationships within the research group and seeking mentorship from senior researchers can help address these challenges, while actively participating in conferences and workshops supports professional growth and keeps skills up-to-date.

What are Electrical Machine Design Postdoctoral positions?

Electrical Machine Design Postdoctoral positions are research roles for individuals who have recently completed their PhD in electrical engineering or a closely related field. These positions focus on the advanced study and innovation of electrical machines, such as motors, generators, and transformers. Postdoctoral researchers in this area work on designing, modeling, and optimizing these machines for applications in industries like automotive, renewable energy, and manufacturing. They may collaborate with academic, government, or industrial partners and are expected to publish their findings in scientific journals. The role often serves as a stepping stone to a faculty position or a specialized engineering career in industry.

What is the difference between Electrical Machine Design Postdoctoral vs Electrical Power Engineer?

AspectElectrical Machine Design PostdoctoralElectrical Power Engineer
Required CredentialsPhD in Electrical Engineering or related fieldBachelor's or Master's in Electrical Engineering
Work EnvironmentResearch labs, academic institutions, R&D departmentsPower plants, utility companies, industrial facilities
Industry UsageAcademic research, advanced development projectsPower generation, transmission, and distribution
Common Search IntentResearch roles, academic positions, specialized R&DPractical engineering, project management, system design

The main difference between an Electrical Machine Design Postdoctoral and an Electrical Power Engineer lies in their focus and work environment. The postdoctoral role is research-oriented, often in academic or R&D settings, requiring a PhD. In contrast, an Electrical Power Engineer applies engineering principles in practical power systems, typically with a bachelor's or master's degree, working in industry or utility companies.

Infographic showing various Electrical Machine Design Postdoctoral job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Postdoctoral Associate - Computational Neuroscience

Postdoctoral Associate - Computational Neuroscience

Baylor College of Medicine

Houston, TX • On-site

$62K - $64K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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Job description

Job Title: Postdoctoral Associate - Computational Neuroscience
Division: Neurology
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232 - $64,356
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Postdoctoral Associate will contribute to translational human neuroscience studies focused on intracranial electrophysiology, affective neuroscience, and adaptive neuromodulation in patients undergoing invasive monitoring or therapeutic neurostimulation. Ongoing projects investigate the neural dynamics underlying mood and cognitive states using intracranial EEG recordings, electrical stimulation, scalp EEG, and multimodal behavioral assessments.
Specific projects include development of computational approaches for modeling stimulation-induced brain state changes, optimization of stimulation parameters using machine learning and Bayesian optimization frameworks, analysis of electrophysiological biomarkers associated with affective processing and treatment response, and integration of neural recordings across intracranial and noninvasive modalities.
The Postdoctoral Associate will work closely with multidisciplinary collaborators in neurology, neurosurgery, psychiatry, engineering, and computational neuroscience to support both mechanistic neuroscience studies and translational neurotechnology development.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties

  • Analyzes intracranial electrophysiology, scalp EEG, and behavioral datasets using advanced statistical and computational methods.
  • Develops and implements machine learning and Bayesian optimization approaches for adaptive neuromodulation and stimulation parameter optimization.
  • Contributes to experimental design, protocol development, and data interpretation for human neuroscience studies involving electrical brain stimulation and affective neuroscience paradigms.
  • Develops computational pipelines for neural signal processing, feature extraction, and multimodal data integration.
  • Prepares manuscripts, conference abstracts, figures, and presentations for scientific dissemination.
  • Assists with mentoring graduate students, research assistants, and trainees within the laboratory.
  • Participates in interdisciplinary meetings and collaborative research activities across institutional and external research teams.
  • Maintains compliance with institutional, IRB, and data security requirements related to human subjects research.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • PhD training in electrical and computer engineering, computer science, biomedical engineering, neuroscience, bioinformatics, or related fields.
  • Prior postdoctoral experience is desired.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID: 25281

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