The University of Massachusetts Lowell

Location: Lowell, Massachusetts

Graduate Research Assistant (Fully-Funded†) openings (PhD††/MS) Spring/Summer/Fall 2020

Research Assistantship Opening # 1:
Acoustics-based Damage Detection from Operational Wind Turbine Blades
Preferred Start Date: Spring/Summer/Fall 2020
The student in this position will develop and test an acoustic sensor network that is needed for damage detection and identification from operational wind turbine blades. This 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 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 a high GPA, and satisfactory GRE and TOEFL scores (International students only), work ethics, integrity, motivation and collegiality. Contact Prof. Murat Inalpolat at Murat_Inalpolat@uml.edu with your updated resume, if interested.

Research Assistantship Opening # 2:
Analytical and Computational Aeroacoustics for Structural Health Monitoring of Operational Wind Turbine Blades
Preferred Start Date: Spring/Summer/Fall 2020
The researcher in this position will develop and use analytical/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. Coupled fluid-acoustic and/or high-fidelity predictive tools for aero-acoustics prediction will be considered/developed/used in this research. Analytical and computational modeling will be achieved using tools that will be developed in-house by the student as well as through the use of commercially available tools such as Ansys, Comsol, etc. This student is also expected to help conduct acoustic measurements, analyze and interpret the data collected and help make design decisions related to the acoustic sensing systems. The work is predominantly geared towards wind energy and wind turbine blade structural health monitoring. However, this researcher is expected to continuously learn and help the team with other related work in the near future. The ideal candidate will have a strong interest in scientific computing, aerodynamics and/or aero-acoustics, optimization, structural health monitoring, and wind turbine hardware procurement and testing. Working knowledge of Matlab, and motivation to learn other CFD and acoustic modeling tools, and analytical modeling of acoustic sources and acoustic radiation is preferred. This position requires a high GPA, and satisfactory GRE and TOEFL scores (International students only), work ethics, integrity, motivation and collegiality. Contact Prof. Murat Inalpolat at Murat_Inalpolat@uml.edu with your updated resume, if interested.

Research Assistantship Opening # 3:
Machine Learning based Optimal Sensor Placement for Aerospace Applications
Preferred Start Date: Spring/Summer/Fall 2020
The student in this position is expected to work on developing and testing machine learning algorithms for optimal sensor placement. The algorithms developed will be applied on a variety of applications related to vibrations, acoustics, and other related fields. Matlab/Python will be used to develop supervised and unsupervised machine learning algorithms for damage detection from aerospace structures and related applications using minimum number of optimally-placed sensors. The ideal candidate will have a strong interest in machine learning, probabilistic approaches, optimization, structural health monitoring, algorithm development and coding. Fluency in Matlab (and/or Python), and motivation to learn other modeling and analysis tools is preferred. This position requires a high GPA, and satisfactory GRE and TOEFL scores (International students only), work ethics, integrity, motivation and collegiality. Contact Prof. Murat Inalpolat at Murat_Inalpolat@uml.edu with your updated resume, if interested.

Research Assistantship Opening #4:
Dynamic Modeling, Analysis and Testing of Automotive Transmission Components and Subsystems
Preferred Start Date: Spring/Summer/Fall 2020
The student in this position will develop analytical and computational tools for vibration/noise modeling and suppression from automotive manual and automatic transmissions. The student will develop a probabilistic dynamic model of a subsystem of a passenger car transmission operating under linear/nonlinear/stochastic dynamic excitations. The ideal candidate will have a strong interest in multibody dynamics, mechanical vibrations of discrete and continuous systems, probabilistic approaches, optimization, and Matlab programming. Experience with computer programming and graphical user interface design is preferred. This position requires a high GPA, and satisfactory GRE and TOEFL scores (International students only), work ethics, integrity, motivation and collegiality. Contact Prof. Murat Inalpolat at Murat_Inalpolat@uml.edu with your updated resume, if interested.

† Fully-funded: Full-tuition, stipend, health insurance, and fees will be paid by the advisor.
†† PhD students are preferred, but MS students with outstanding background will be considered.
EEO/AA Policy
UMass Lowell is an equal employment opportunity/affirmative action institution.

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