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Graduate Research Assistants | University of Massachusetts Lowell



  • Kurum/Firma: University of Massachusetts Lowell
  • Pozisyon: Graduate Research Assistants
  • İşveren Web Sitesi: www.uml.edu

İlan Bitiş Tarihi: 23.08.2022


Graduate Research Assistant (Fully-Funded†) openings (MS/ PhD) Fall 2022

The University of Massachusetts Lowell

Location: Lowell, Massachusetts, USA (45 minutes north to Boston)

Department of Mechanical Engineering

The Structural Dynamics and Acoustic Systems Laboratory at The University of Massachusetts is hiring several

Ph.D. Students (outstanding MS students will be considered) to start in Fall 2022 (or earlier) for the research topics below:

  • i. Acoustics-based Damage Detection from Operational Wind Turbine Blades (Algorithm Development)
  • ii. Acoustics-based Damage Detection from Operational Wind Turbine Blades (Field Implementation and Testing)
  • iii. Computational Aero-Acoustics (CAA) for Structural Health Monitoring
  • iv. Ultra-low Power Wireless Sensing System Development and Field Testing for Monitoring Composite Structures
  • v. Machine Learning for Advanced Exoskeleton Development and Control
  • vi. Nonlinear Vibration Modeling and Testing of Sandwich Structures under Impact Loading
  • vii. Development of Simplified Aero-Elastic Airfoil Models under Random Excitation viii. Reliability and NVH Modeling and Testing of Electrified Drivetrains for Aerospace Applications
  • ix. Prognostics of Large-Scale Battery Systems using Limited Sensor Data

These positions require an undergraduate GPA>3.5, and satisfactory language scores (International students only), work ethics, integrity, motivation and collegiality. All positions are fully funded†. Please contact Prof.Murat Inalpolat at Murat_Inalpolat@uml.edu with your most up to date resume and a concise statement of purpose, if interested.

† Fully-funded: Full-tuition, stipend, 80% of the health insurance, and fees will be paid by the advisor for the graduate students.

EEO/AA Policy: UMass Lowell is an equal employment opportunity/affirmative action institution.

Details:

Acoustics-based Damage Detection from Operational Wind Turbine Blades (Algorithm Development)

  • Graduate Research Assistant
  • Ph.D. Student (Outstanding MS students will be considered)
  • Starting Fall 2022 (Summer 2022 start possible)
  • Contact Prof. Murat Inalpolat by email: Murat_Inalpolat@uml.edu
  • Fully funded (tuition and fees + stipend + %80 of health insurance)

Job Description: The graduate level researcher in this position will develop and test an acoustic sensor network that is needed for damage detection from operational wind turbine blades. This graduate student is expected to have, or motivated to develop, background in acoustics and vibrations, signal processing and machine learning as well as testing and data analysis. The ideal candidate (preferably with ME, EE and/or CE/CS background) will have a strong interest in data collection, analysis, and algorithm development. Working knowledge of Matlab / Python, and motivation to learn signal processing, structural health monitoring and machine learning algorithms is preferred. This position requires an undergraduate GPA > 3.5, and satisfactory analytical and language skills, work ethics, integrity, motivation and collegiality.

Acoustics-based Damage Detection from Operational Wind Turbine Blades (Field Implementation and Testing)

  • Graduate Research Assistant
  • Ph.D. Student (Outstanding MS students will be considered)
  • Starting Fall 2022 (Summer 2022 start possible)
  • Contact Prof. Murat Inalpolat by email: Murat_Inalpolat@uml.edu
  • Fully funded (tuition and fees + stipend + %80 of health insurance)

Job Description: The graduate level researcher in this position will develop, implement and test Machine Learning and Signal Processing Algorithms on microcontrollers for an acoustic sensor network that is needed for damage detection from operational wind turbine blades. This graduate student is expected to have, or motivated to develop, background in coding in Python or C, signal processing, machine learning and algorithms development as well as field testing and data analysis. This position requires an undergraduate GPA > 3.5 (or commensurate experience), and satisfactory analytical skills, communication skills, work ethics, integrity, motivation and collegiality.

Computational Aero-Acoustics (CAA) for Structural Health Monitoring

  • Graduate Research Assistant
  • Ph.D. Student (Outstanding MS students will be considered)
  • Starting Fall 2022 (Summer 2022 start possible)
  • Contact Prof. Murat Inalpolat by email: Murat_Inalpolat@uml.edu
  • Fully funded (tuition and fees + stipend + %80 of health insurance)

Job Description: The researcher in this position will develop and use computational aero-acoustics simulation tools to assess wind turbine blade damage using acoustic measurements/predictions. The computational tools will also be used to optimize the damage detection capability and sensor placement. Coupled fluid-acoustic and/or high-fidelity predictive tools (direct CAA) for aero-acoustics predictions will be considered/developed/used in this research. The ideal candidate will have a strong interest in scientific computing, aerodynamics, acoustics and fluid-structure interaction (FSI). Background/experience in computer programming using compiled languages (Python, C, others), numerical methods for PDEs (boundary/finite element, finite difference and/or finite volume) and/or prior experience using CFD/CAA tools is strongly preferred. Parallel computing experience is advantageous, but not required. This graduate student is also expected to support sensor hardware development and any testing activities in the lab and in the field. This position requires an undergraduate GPA > 3.5 (or commensurate experience), and satisfactory analytical skills, communication skills, work ethics, integrity, motivation and collegiality.

Machine Learning for Advanced Exoskeleton Development and Control

  • Graduate Research Assistant
  • MS or Ph.D. Student (Outstanding students will be considered)
  • Starting Fall 2022 (Summer 2022 start possible)
  • Contact Prof. Murat Inalpolat by email: Murat_Inalpolat@uml.edu
  • Fully funded (tuition and fees + stipend + %80 of health insurance)

Job Description: The student in this project will develop machine learning algorithms (Matlab and Python based), and help develop and test controllers for exoskeletons employed by military personnel. This graduate student is expected to have, or motivated to develop, background in coding in Python or C, signal processing, machine learning and algorithms development as well as field/lab testing of the exoskeletons and data analysis. The algorithms will be used to predict future actions and responses of the exoskeleton users. This position requires an undergraduate GPA > 3.5 (or commensurate experience), and satisfactory analytical skills, communication skills, work ethics, integrity, motivation and collegiality.

Nonlinear Vibration Modeling and Testing of Sandwich Structures under Impact Loading

  • Graduate Research Assistant
  • MS or Ph.D. Student
  • Starting Fall 2022
  • Contact Prof. Murat Inalpolat by email: Murat_Inalpolat@uml.edu
  • Fully funded (tuition and fees + stipend + %80 of health insurance)

Job Description: The researcher in this position will develop a fast and efficient analytical model of the dynamic response of a multi-shell sandwich structure. The sandwich structure operates under impact loads and can have different boundary conditions. The analytical tool (with a GUI) will be used to optimize the design of sandwich structures that may be used in aerospace and military applications. The ideal candidate will have a strong interest in vibrations, scientific computing, design optimization, and Matlab (and/or Python) programming. This position requires a high GPA (undergraduate GPA > 3.5), and satisfactory analytical and language skills, work ethics, integrity, motivation and collegiality.


Başvurular: Murat_Inalpolat@uml.edu