Post Doctoral Associate

Post Doctoral Associate University of Miami - 4.0 Coral Gables, FL Job Details Full-time 1 day ago Qualifications TensorFlow Academic program development Research design Writing grant proposals Doctor of Medicine MATLAB Medicine Reinforcement learning Laboratory safety Report writing Research manuscripts Scientific publications Wearables Doctoral degree in engineering Computer vision Student mentoring Embedded systems Working with graduate students Engineering Robotics implementation projects Mechanical Engineering Laboratory experiments No experience needed Electrical engineering Scientific and medical presentations experience Doctorate in mechanical engineering C++ Doctor of Philosophy RTOS OpenCV Recruiting Experimental design Participating in conferences Machine learning libraries Electrical Engineering AI Cross-functional collaboration Research & development Machine learning frameworks Doctoral degree in electrical engineering Teaching engineering Robotics Communication skills Technical Proficiency Python Safety protocol implementation Entry level Cross-functional communication Under 1 year

Full Job Description Current Employees:

If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet . The University of Miami, College of Engineering has a great opportunity for a Post Doctoral Associate to work at the Coral Gables Campus.

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 Medicine (MD) 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 Functions Support the PI in launching new interdisciplinary robotics research and educational initiatives in the ECE Department and across the College of Engineering, including foundational program design and curriculum integration. Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction. Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, particularly in the area of medical robotics for surgical and assistive applications. Assist with setting up the PI's new research lab, including hardware/software integration, experimental platforms, and safety protocols. Support preparation and submission of competitive grant proposals to federal funding agencies (e.g., NSF, NIH). Mentor and help recruit and train graduate students and undergraduate researchers in robotics, mechatronics, and machine learning. Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems. Present research at national and international conferences and co-author peer-reviewed publications in leading robotics and AI venues.

Department Specific Qualifications Education:

Ph.D. in Electrical and Computer Engineering, Robotics, Mechanical Engineering, or a closely related Engineering field.

Certification and Licensing:

Not applicable.

Experience:

Extensive experience in robotics system design, real-time control, and embedded systems integration. Demonstrated expertise in artificial intelligence, including reinforcement learning, computer vision, and deep neural networks applied to robotics. Track record of peer-reviewed publications and active participation in interdisciplinary research projects. Experience with grant writing, mentoring students, and collaborative academic or industry research is preferred.

Knowledge, Skills and Attitudes:

Strong programming skills (Python, C++, MATLAB) and experience with software tools such as TensorFlow, ROS, Gazebo, and OpenCV. Familiarity with robotic hardware platforms (e.g., Kinova robotic arms, UAVs, mobile robots) and real-time operating systems. Excellent communication skills and ability to work in cross-functional and interdisciplinary teams. Demonstrated initiative, creativity, and problem-solving ability in research and development environments. 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.

Job Status:

Full time

Employee Type:

Staff