Post Doctoral Associate

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CORE JOB SUMMARY
The Post Doctoral Associate performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the scientific community.

CORE JOB FUNCTIONS
1. Conducts research on specific areas of study as assigned.
2. Prepares research reports and technical papers for publishing.
3. Investigates the feasibility of applying a wide variety of scientific principles and theories.
4. Maintains substantial knowledge of state-of-the-art principles and theories.
5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
6. Adheres to University and unit-level policies and procedures and safeguards University assets.

This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary.

CORE QUALIFICATIONS
Education:
Doctorate degree in relevant field required

Experience:
No previous experience required

Certification and Licensing:
Refer to department description for applicable certification requirements

Knowledge, Skills and Abilities:

• Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
• Teamwork: Ability to work collaboratively with others and contribute to a team environment.
• Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
• Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.

This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job.

Department Specific Qualifications                                                                                      

Education:

A Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science and Engineering, Neuroscience, Applied Mathematics, or another closely related engineering or quantitative discipline is required. 

Certification and Licensing:

N/A

Experience:

Less than 5 years of research experience following completion of a Ph.D.

Knowledge, Skills and Attitudes:

Required Knowledge

• Advanced understanding of the principles, mechanisms, and applications of non-invasive neuromodulation technologies, including transcranial magnetic stimulation (TMS), transcranial alternating current stimulation (tACS), transcranial direct current stimulation (tDCS), Temporal Interference (TI) stimulation, focused ultrasound neuromodulation, shock wave stimulation, and related neural modulation techniques.
• Advanced knowledge of human neurophysiology, motor control, neuromuscular function, pain mechanisms, psychiatric, and the neural circuits underlying behavior, cognition, and functional recovery.
• Knowledge of multimodal neuroimaging principles and methodologies, including EEG, NIRS, MRI and diffusion imaging techniques.
• Familiarity with human-subject research methodologies, experimental design, and statistical analysis.

Required Skills

• Demonstrated ability to independently design, implement, and manage complex human-subject research studies.
• Strong quantitative data analysis, signal processing, and computational modeling skills, with hands-on experience in neuromodulation technologies (e.g., TMS, tACS, tDCS, TI, and/or focused ultrasound) and multimodal neurophysiological and neuroimaging techniques, including EEG, fNIRS, EMG, MRI, and related neural recording and imaging modalities.
• Experience with signal processing, machine learning, statistical modeling, and multimodal data integration.
• Strong scientific writing skills, with a demonstrated publication record in peer-reviewed journals.
• Ability to contribute to grant writing, particularly NIH-style proposals and progress reports.
• Effective verbal and written communication skills for interdisciplinary collaboration with engineers, clinicians, and scientists.

Required Attitudes and Professional Attributes

• Strong motivation to pursue independent, high-impact research.
• Initiative and ability to work independently while contributing effectively within a multidisciplinary team.
• Flexibility and adaptability in a dynamic research environment.
• Willingness to learn new technologies and methodologies and continuously expand technical expertise.
• Intellectual curiosity and commitment to scientific rigor and reproducibility.
• Enthusiasm for translating engineering and neuroscience discoveries into clinically meaningful applications.

The University of Miami is recognized as one of the nation’s premier research institutions and academic health systems and is among the largest employers in South Florida.

With more than 20,000 faculty and staff, the University is committed to excellence and guided by a mission to positively impact the lives of students, patients, and communities locally and globally.

We are dedicated to fostering a culture where every individual feels valued and empowered to contribute meaningfully. United by shared values, the University community works together to build an environment defined by purpose, collaboration, and service.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information.

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