POLYTECHNIQUE MONTRÉAL Winter RESEARCH INTERNSHIP - PDF

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2016 POLYTECHNIQUE MONTRÉAL Winter RESEARCH INTERNSHIP Polytechnique Montréal Founded in 1873, Polytechnique Montréal is a leading Canadian university for the scope and intensity of its engineering research

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2016 POLYTECHNIQUE MONTRÉAL Winter RESEARCH INTERNSHIP Polytechnique Montréal Founded in 1873, Polytechnique Montréal is a leading Canadian university for the scope and intensity of its engineering research and industrial partnerships. It is ranked #1 for the number of Canada Research Chairs in Engineering, the most prestigious research funding in the country, and is also first in Québec for the size of its student body and the scope of its research activities. Polytechnique Montréal has laboratories at the cutting edge of technology thanks to funding of nearly a quarter of a billion dollars from the Canada Foundation for Innovation over the past 10 years. Research Internship Program A research internship is a research activity that is an integral part of a visiting student s academic program at the home institution. Each year, Polytechnique s research units welcome more than 250 students as research interns from other universities wishing to put into practice the technical and scientific knowledge acquired in their studies. The research conducted is supervised by a professor of Polytechnique and is always related to needs expressed by society or companies, and can be made in laboratories or in situ. Duration The recommended duration of the internship is a minimum of 4 months, usually taking place between January and May Other duration or period can be negotiated to suit your university schedule. Financial Arrangement Tuition fee waiver for the duration of the internship; Free transportation from the airport to your place of residence upon your arrival; A minimum scholarship of $500 CAD per month for a maximum of four (4) months; Employer Compliance Fee of $230 CAD covered by Polytechnique Montréal (once the internship is confirmed, the work permit applicant must pay the requested immigration fee). Eligibility Criteria Being enrolled in one of Polytechnique Montréal s partner universities; Having completed at least two years of an engineering undergraduate program or one year of a Ph.D. program according to projects requirements as described in the following pages; Meeting the specific skills required by the supervisor if any; Being fluent in French or in English (no language proficiency test is required). Required Documents for Application (in French or in English) Letter of motivation including the following information: your selected project (see list of projects next page) explanations of your interest in working in this project your skills in respect to the project starting and ending dates of your internship; Curriculum vitae (CV); Copy of your most recent academic transcript; Proof of a full-time enrollment from your home institution (the letter must confirm that you are currently enrolled in a full-time program and will continue to be enrolled upon your return); Section 1 of the attached specification sheet must be completed; If possible, a copy of an internship report made in the past. Application Deadline All documents must be sent electronically by August 5th, 2015 to the International Relations Office of Polytechnique Montréal: Please specify in the subject 2016 Winter Research Internship Program. Note that a Skype conference call may be organized if needed for final selection. Announcement The results will be announced in September 2015 to each candidate. Selected candidates will receive an Offer of Employment to a Foreign National Exempt from a Labour Market Impact Assessment (LMIA) and will have to apply for a Work Permit at the Canadian Visa office that serves the area they live in. Additional Information You can count on the support of the International Relations Office to make your stay most enjoyable. You can also get further information on Montreal: Come and experience the pleasures of a true winter in Québec where there is no time to freeze but only fun activities to enjoy! For any questions regarding your application, please contact: International Relations Office LIST OF RESEARCH PROJECTS ADDITIONAL AREAS OF EXPERTISE Click on numbers to access project description Aerospace Engineering 1 2 Biomimetic Design of a Passively Adaptable Flexible Wing (undergraduate) Numerical Study of the Out-of-Autoclave Repair Technology for Stiffened Composite Panels Used in Aeronautic Structures (undergraduate or Ph.D.) Biomedical Engineering Evolving Mathematical Expressions Using Genetic Algorithms for Modeling of VO2 Kinetics (undergraduate or Ph.D.) Artificial Vision for Rotobic Control in a Rehabilitation/ Adaptation Context (undergraduate or Ph.D.) Intelligent Evaluation of AIS Severities during GAIT (undergraduate or Ph.D.) Development of Innovative MRI System for Compensating Respiratory-Related Artifacts (undergraduate or Ph.D.) Synthesis of Compliant Mechanisms for a Walking Application (Ph.D.) Twisting Wire Actuation in Self-Adaptive Fingers (Ph.D.) Chemical Engineering 9 Photochemical Surface Engineering of Polymer Substrates (undergraduate or Ph.D.) Electrical Engineering Path Planning for High-Precision 3D Mapping with Mobile Robots (undergraduate) Accelerators for 5 th -Generation Wireless Networks (undergraduate or Ph.D.) Analysis and Design of Emerging Monitoring and Control Networks (Ph.D.) Mechanical Engineering Designing and Prototyping a Planar Differentially Driven Cable Robot (undergraduate) Designing and Prototyping of Tactile Sensors for Mechatronics Hands (undergraduate) Design and Fabrication of a Legged Robot Prototype (undergraduate) 3D Printing of Mechanical Microsystems (undergraduate) 3D Printing of Advanced Materials for Mechanical Microsystems (Ph.D.) Physics Engineering and/or Materials Science Biomimetic of Spider Silk: Instability-assisted Microfabrication of Tough Fibers (Ph.D.) Characterization of Thermal and Electrical Transport Properties and Thermoelectric Alloys (Ph.D.) You didn t find what you were looking for? Browse our professors directory by area of expertise: Submit the area of expertise you would like to work on and provide the names of 2-3 professors working in this field. Explain in your letter of motivation why you would like to do a research internship in this area. The International Relations Office will try to find the appropriate match for you! Here are some ideas: Applied Mathematics Artificial Intelligence Biomedical Engineering Chemical Engineering Civil Engineering Computer and Software Engineering Design and Manufacturing Electric and Electronic Engineering Environmental Engineering Fluid Mechanics Fuel and Energy Technology Geophysics Hydrology Industrial Engineering Information Technology Materials Science and Technology Mechanical Engineering Mining and Mineral Processing Nuclear Engineering Polymers Chemistry Robotics Structural Engineering Computer and Software Engineering 20 Identifying Bottlenecks in Build System Performance (undergraduate and Ph.D.) #1: Area of Expertise: Aerospace Engineering Biomimetic Design of a Passively Adaptable Flexible Wing 1 st cycle (undergraduate) In most engineering applications, structures are designed to be stiff so that the loads they carry do not deform them significantly. In nature, structures are usually compliant; that is especially true for terrestrial and aquatic plants. Because they seek to maximise their surface and height in order to capture the most sunlight, plants rely on their flexibility to change form and reduce their drag when subjected to fluid flow, whether water current or wind. We say that they reconfigure. By studying how flexible structures reconfigure when subjected to flow, we can learn more about the adaptation of plants to their environment and also inspire biomimetic applications of passive reconfiguration to aerodynamic loads. With wind tunnel tests and fluid-structure interaction models, we seek to understand how flexible structures deform with great amplitude and how this affects their drag and lift. Because they seek to maximise their surface and height in order to capture the most sunlight, plants must rely on their flexibility to change form and reduce their drag when subjected to wind. We say that they reconfigure. This behavior is highly interesting for biomimetics because plants rely on passive reconfiguration and lack complex control systems. From what we have learned from studying plant reconfiguration, we seek to apply this bioinspiration to design a passively morphing wing. The goal of the project will be to design, fabricate and test a wing that will reconfigure passively when subjected to flow. This will allow the wing to maximize its lift at low flow velocity and minimize its drag at high flow velocity. This morphing wing could have applications in miniature unmanned aerial vehicles, wind turbines or even Formula 1 racing. To do this the student will design the wing structure, perform calculations to evaluate its reconfiguration when subjected to flow, fabricate the wing with soft polymers and test the wing in a closed loop wind tunnel we have at Polytechnique. The student will be involved in all stages of the project: design, calculations, fabrication and testing. He can expect to spend some time in front of a computer to design the wing and simulate its deformation. He will have to mold his flexible wing from soft polymers and test it in the wind tunnel. He will be supervised by a professor and a PhD student. The interested student should have basic knowledge of aerodynamics, solid mechanics, numerical methods and strain gauge measurements. The student should be at ease with Matlab and some CAD software. Knowledge of finite elements is a plus. Mr Frederick GOSSELIN, Assistant Professor, Department of Mechanical Engineering Website: #2: Area of Expertise: Aerospace and/or Mechanical Engineering Numerical Study of the Out-of-Autoclave Repair Technology for Stiffened Composite Panels Used in Aeronautic Structures 1 st cycle (undergraduate) or 3 rd cycle (Ph.D.) The maintenance and repair of the aircraft composite structures are always of main concern to the end-users as well as the manufactures. The need to repair a component can arise from physical damage due to accidental impact (bird, strike, etc.) or from deterioration caused by absorption (moisture, hydraulic fluid, etc.). The repair solution is to replace the parent damaged area by an adhesively bonded patch. Reliability and durability of bonded patch is linked to its ability to resist mechanical loading and successfully to transmit stresses. The internship subject concerns the numerical optimization of bonded patch to effectively fulfill its role. The work is part of a multidisciplinary project involving major actors of aerospace industry of Montréal region as well as other students from two other universities. Different aspects of design and manufacturing of out-of autoclave repair technologies for composite panels are studied. Finite Element Analysis (ANSYS or Alatir Hyperworks) will be employed to conduct parametric studies in order to define the influence of different parameters on the repaired panel behavior under complex loading: 1. Model a scarf-repaired composite panel with T-stiffeners in ANSYS. 2. Define and develop of elasto-plastic modelling for bonded area using Cohesive Zone Modelling 3. Define the appropriate failure criteria and predict the type of failure under different types of loadings. 4. Conduct an optimization study considering geometrical, thermal and mechanical properties as parameters. 5. Develop an optimized repair in order to retrieve the most of the original performance of the panel. Experience with composite materials and finite element analysis Knowledge of finite elements method and design of experiments Interested in design optimization using the finite element methods or meshfree methods Mr Aurelian VADEAN, Assistant Professor, Department of Mechanical Engineering #3: Area of Expertise: Biomedical Engineering Evolving Mathematical Expressions Using Genetic Algorithms for Modeling of VO 2 Kinetics 1 st cycle (undergraduate) or 3 rd cycle (Ph.D.) The oxidative mechanism is the main source of energy on which humans depend to maintain life and work capacity (JONES; POOLE, 2005). The rate at which an individual extracts, transports and uses oxygen is called oxygen consumption, or oxygen uptake (V O2) (BASSET; HOWLEY, 2000), whereas the V O2 kinetics is the study of the dynamic response of V O2 to variations in exercise intensity V O2 kinetics data analysis can provide valuable information on the metabolic function of an individual, such as his fitness level or the possible presence of cardiovascular and respiratory dysfunctions (JONES ; POOLE, 2005). The use of an accurate modeling is thus essential to the proper interpretation of the results provided by exercise test protocols applied to in humans, commonly performed in treadmills or cycle ergometers. Several works simplify this task by fitting the experimental data as a combination of first order dynamic systems spread over very specific time series ranges. However, inconsistencies between the current model and recent data have shown some failures in the currently adopted model. In this project, we expect the student to apply genetic algorithm/programming methods to already existing experimental data in order to automatically evolve mathematical formulas without prior knowledge of any possible trends. The goal is to obtain the best fitting formula describing the V O2 kinetics. Get familiarised with V O2 kinetics testing protocols. Get familiarised with V O2 kinetics data and existing mathematical models. Learn the use of genetic programming for formula generation, already existing tools can be used such as MEXE or FPEG. Propose options to mathematically describe the V O2 kinetics. Write a report on the results. Coding skills in C++ OR MATLAB or any equivalent scientific language Analytic mind Good level of English or French Autonomy : Mr Sofiane ACHICHE, Assistant Professor, Department of Mechanical Engineering Co-supervisor: Mr Maxime RAISON, Assistant Professor, Department of Mechanical Engineering #4: Area of Expertise: Biomedical Engineering Artificial Vision for Rotobic Control in a Rehabilitation/Adaptation Context (undergraduate or Ph.D.) 1 st cycle (undergraduate) or 3 rd cycle (Ph.D.) Visual control in robotics is an extensively studied research area; robots such as eye-in-hand can adapt their trajectories based on information recorded by cameras. Several alternatives were explored to enable people with musculoskeletal disorders to better control their wheelchairs. The facial recognition (eye, jaw) was already used while coupling voice recognition and viewing direction was also explored. However, one s gaze has never been used to control a robotic arm in an adaptation/rehabilitation context such as JACO arm from Kinova (A Montreal Based Company). Furthermore, when we grasp an object in space, the trajectory of our hand is adjusted through visual information. Moreover, the vision is often fully functional even in patients with heavy motor disorders. It therefore seems appropriate to use the video-motor skills to the benefit of patients. The objective of this project is thus to semi-automate the control of an adaptation robotic arm through the control of the orientation of the actuator with respect to the user, in order to reduce the time needed for the daily tasks of patients daily. Thus the arms would be located and oriented properly in front of the object, and the patient would control the gripping of the object. The number of possible embodiments of the robotic control joystick would thus be reduced, and the task would be made easier for the patient. Identify and categorize the most common / useful trajectories among users of the arm 2. Determine the optimum orientation of the effector strategies to capture the targeted object by the arm trajectory 3. Develop a code to guide real-time effector. Computing skills (C++ or Matlab) Basic control theory knowledge Autonomy Analysis capabilities : Mr Sofiane ACHICHE, Assistant Professor, Department of Mechanical Engineering Co-supervisor: Mr Maxime RAISON, Assistant Professor, Department of Mechanical Engineering #5: Area of Expertise: Biomedical Engineering Intelligent Evaluation of AIS Severities during GAIT (undergraduate or Ph.D.) 1 st cycle (undergraduate) or 3 rd cycle (Ph.D.) Adolescent idiopathic scoliosis (AIS) is a common deformity that touches about 2% to 4% of teenagers, mainly females. AIS patients present a curvature of spine for which treatments such as brace, spine fusion and instrumentation are crucial. In order to apply more effective treatment while lower the risk of late progression and degenerative joint disease, a good classification of the severity is necessary. Several works have been done in assisting the classification of scoliosis severity based on 2-D data using machine learning techniques. Since scoliosis is a 3-D curvature, 2-D radiographies do not carry the whole information of the deformities. Recently, some researchers try to use 3-D motion data and force data to accomplish the classification task. Progress has showed that there are possibilities to compete with 2-D and 3-D classification. Besides, gait analysis has shown increasing interests and potential to diagnose pathologies. Explore the use machine learning techniques to classify severities from a biomechanical point of view. Machine learning techniques include unsupervised learning (including Fuzzy C Means or K Means Clustering) and supervised learning (classifiers trained by expert knowledge, including Artificial Neural Network, Support Vector Machine, Decision Tree, Fuzzy Logic). Analyzing kinematics and EMG data during gait with Fuzzy Logic tools to classify patients. Developing a special and novel fuzzy Logic based decision support system based on internal force and torque analysis during gait. Computing skills C++ and or Matlab Fast learner of new techniques Autonomy Great analysis skills : Mr Sofiane ACHICHE, Assistant Professor, Department of Mechanical Engineering Co-supervisor: Mr Maxime RAISON, Assistant Professor, Department of Mechanical Engineering #6: Area of Expertise: Biomedical Engineering Development of Innovative MRI System for Compensating Respiratory-Related Artifacts 3 rd cycle (Ph.D.) preferentially, but also possible for 1 st cycle (undergraduate) The goal of the project is to interface a unique system for compensating image artifacts with a 3 tesla clinical MRI system. The combination of both systems will enable to obtain unprecedented image quality in the human spinal cord, thanks to the reduction of artifacts related to the respiration of the subject. This will have application for the diagnosis of multiple sclerosis and spinal cord injury. Understand the basics of MRI and shimming Interface an innovative real-time shimming coil with a clinical MRI system using Matlab Test the system in humans and demonstrate the reduction of respiratory-related artifacts Basic knowledge in electrical engineering, physics, programming (Matlab, C/C++) and image processing. Mr Julien COHEN-ADAD, Assistant Professor, Department of Electrical Engineering #7: Area of Expertise: Biomedical Engineering Synthesis of Compliant Mechanisms for a Walking Application (Ph.D.) 3 rd cycle (Ph.D.) Compared to a fully actuated serial mechanism mimicking a human or animal leg, a parallel mechanism (such as a Hoeckens, Klann or Jansen linkage) may use as few as a single degree of freedom to generate the desired leg endpoint trajectory, at the expense of having a fixed gait. Generally, a suitable leg endpoint trajectory is made of an approximatively straight line with respect to the body during the supporting phase and a more arbitrary curve when the leg is raised and brought back during the swinging phase. Compliant mechanisms use mechanical deformations to generate displacement or transmit forces and have mainly been developed because of their specific advantages such as ease o
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