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Tenure Track Faculty Position in Dynamics & Controls (Robotics)

In the Department of Mechanical & Aerospace Engineering

Florida A&M University – Florida State University College of Engineering

 (Permanent, Tenure Track Position)

The Department of Mechanical & Aerospace Engineering at the Florida A&M University-Florida State University College of Engineering is pleased to invite applications from highly qualified individuals for tenure-track faculty positions in the field of dynamics and control in Tallahassee, Florida. This position is at the assistant level, but well-qualified candidates will be considered at a higher rank.

We are interested in candidates whose robotic research is grounded in mechanical engineering in fields including but not limited to aerial/aquatic/space robotics, dynamics/mechanisms, soft robotics, manipulation/surgical robotics, human-robot interface, sensing and perception, Artificial Intelligence/Machine Learning, and Optimal/feedback controls. Other areas of Dynamics and controls will also be considered, particularly if they complement existing program strengths.

The

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Job ID: 261827

INESC TEC | Research Grant (AE2025-0384)
INESCTEC

Research Opportunities

Smart medical devices (microprogramming and signal processing)

Work description

Research and development of algorithms for analyzing signals acquired in real time by a system with integrated sensors, which will perform measurements, for example, of electromyography and inertial data. Objective and efficient feature identification and recognition of personalized patterns for integration into mobile applications for users to improve their performance. Collaboration on a research, development, and innovation project in the healthcare and textile sectors, to create smart clothing with physiological sensing. Collaboration with project partners in signal collection and database organization. Collaboration in the writing of scientific articles and work reports.

Academic Qualifications

Minimum profile required

Student in Biomedical Engineering or related areas.

Preference factors

Good

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Research Opportunities

Power Systems

Work description

Development of methodologies for energy resource planning modeling. Integration of renewable energy self-consumption strategies in electricity market simulation. Writing technical and scientific papers for international conferences and journals.

Minimum profile required

Proven experience in R&D work on electricity and renewable energy markets. Advanced knowledge (specialization) in power systems.

Preference factors

Experience in developing optimization problems and experience with GAMS software. Fluency in Portuguese (spoken and written).

Maintenance stipend: € 1040.98 or 1309.64, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50% of the monthly maintenance stipend.

INESC TEC supports costs

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Research Opportunities

Bioengineering, Computer and Computational Engineering, Electrical and Computer Engineering, Artificial Intelligence and Data Science, and related fields

Work description

The fellow will contribute to developing artificial intelligence-based solutions for the automated analysis of polysomnography (vPSG) videos in the context of diagnosing sleep disorders, particularly REM sleep behavior disorder (RBD). The activities to be performed will include:

Training and validation of machine learning models, ensuring the quality and consistency of the datasets used. Development and implementation of computer vision algorithms for detecting and analyzing RBD-specific behaviors in vPSG videos. Integration and testing solutions in a simulated clinical environment, ensuring the applicability of the developed models in clinical practice. Participate in the analysis of results and benchmark the system against manual expert evaluation, aiming to measure gains in accuracy and efficiency. Contribution to the scientific dissemination of the project, including writing scientific articles,

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