Aktuelle Jobs im Zusammenhang mit Thesis Opportunity in Urban Noise Prediction using Ray Tracing - Graz, Steiermark - AVL List GmbH
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Graz, Steiermark, Österreich AVL List GmbH VollzeitJob DescriptionResponsibilities:Conduct a comprehensive literature review on urban noise prediction methods.Develop and apply ray tracing modeling techniques to simulate urban noise.Compare the performance of ray tracing models with reference Finite Element Method (FEM) calculations.Calculate and analyze relevant urban noise predictors.Requirements:Ongoing...
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Urban Noise Prediction Specialist
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Urban Noise Prediction Specialist
vor 3 Wochen
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Urban Noise Prediction Specialist
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Urban Noise Prediction Specialist
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Graz, Steiermark, Österreich AVL List GmbH VollzeitWe are seeking a highly skilled and motivated individual to work on a master thesis project focused on predicting urban noise using ray tracing methods.Key Responsibilities:Develop a simulation tool for predicting noise levels in urban areas using ray tracing techniques.Investigate the acoustic sources coming from electrical loading columns and their impact...
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Expert in Urban Noise Prediction via Ray Tracing
Vor 7 Tagen
Graz, Steiermark, Österreich AVL List GmbH VollzeitKey Responsibilities:Conduct thorough literature studiesDevelop innovative ray tracing modeling techniquesPerform in-depth tool and performance studies, comparing with reference FEM calculationsCalculate essential urban noise predictorsRequired Profile:Ongoing studies in civil engineering, mechanical engineering, or technical physicsExperience with...
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Senior Research Engineer
Vor 5 Tagen
Graz, Steiermark, Österreich AVL List GmbH VollzeitWe invite applications for a research assistant position to work on a master thesis project focused on developing a simulation tool for predicting noise levels in urban areas using ray tracing methods. The successful candidate will have the opportunity to work on a cutting-edge project, learning state-of-the-art ray tracing and FEM simulation tools, and...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitThesis Opportunity: Machine Learning for Li-Ion Battery Voltage PredictionWe are offering a thesis opportunity in the field of machine learning for Li-Ion battery voltage prediction. Your responsibilities will include:Developing and implementing machine learning algorithms for Li-Ion battery voltage estimationComparing the performance of different machine...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitJob Description:We are seeking a highly motivated research assistant to work on a thesis project focused on machine learning for Li-ion battery voltage prediction. The successful candidate will have the opportunity to work on a cutting-edge project, collaborating with our experienced team to develop and implement machine learning algorithms for battery...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitMaster Thesis Opportunity in AeroacousticsWe are seeking a highly motivated master student to investigate aeroacoustic noise emission from a rotating axial fan using a hybrid Computational Aero-Acoustic (CAA) approach.The scope of this thesis is to apply the Partially Averaged Navier-Stokes (PANS) equations to compute aeroacoustic source terms and compare...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitJob DescriptionYOUR RESPONSIBILITIES:Develop an electrical equivalent circuit of a battery (ECC) State Space Model (SS-Model) with time-invariant model parameters (R & C constant).Implement and compare different machine learning algorithms, including NN, LSTM, Decision Trees, Gaussian Processes, and Feature Engineering, for system identification to predict...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitJob DescriptionYOUR RESPONSIBILITIES:Develop an electrical equivalent circuit of a battery (ECC) State Space Model (SS-Model) with time-invariant model parameters (R & C constant)Implement and compare different machine learning algorithms, including NN, LSTM, Decision Trees, Gaussian Processes, and Feature Engineering, for system identification to predict...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitJob Opportunity:We are seeking a highly motivated student to work on a thesis project focused on predictive fast charging algorithms to improve battery lifetime.Your Responsibilities:Conduct a literature review of ageing models and predictive fast charging algorithms.Develop an algorithm for lifetime prediction/ageing model of a battery pack.Develop a...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitThesis Opportunity: Predictive Fast Charging Algorithms for Battery Lifetime ImprovementWe are seeking a highly motivated and skilled individual to work on a thesis project focused on predictive fast charging algorithms for battery lifetime improvement.Responsibilities:Conduct a literature review of ageing models and predictive fast charging...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitJob DescriptionYOUR RESPONSIBILITIES:Develop and implement an electrical equivalent circuit of a battery (ECC) State Space Model (SS-Model) with time-invariant model parameters (R & C constant)Compare and evaluate different machine learning algorithms, including NN, LSTM, Decision Trees, and Gaussian Processes, for system identification and voltage...
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Aeroacoustic Noise Emission Investigator
vor 3 Wochen
Graz, Steiermark, Österreich AVL List GmbH VollzeitWe are seeking a highly motivated and skilled researcher to investigate aeroacoustic noise emission from a rotating axial fan using the hybrid Computational Aero-Acoustic (CAA) approach. The successful candidate will have a strong background in mechanical engineering, electrical engineering, or a related field, and experience with programming languages such...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitThesis Opportunity: Comparing ML Methods for Battery Voltage EstimationWe are seeking a highly motivated and skilled electrical engineer to work on a thesis project focused on comparing machine learning methods for Li-Ion battery voltage prediction.Your ResponsibilitiesDevelop and implement machine learning algorithms for battery voltage predictionCompare...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitResponsibilities:Develop an electrical equivalent circuit of a battery (ECC) State Space Model (SS-Model) with time-invariant model parameters (R & C constants).Implement and compare various machine learning algorithms, including Neural Networks, Long Short-Term Memory (LSTM), Decision Trees, Gaussian Processes, and Feature Engineering, for system...
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Graz, Steiermark, Österreich AVL List GmbH VollzeitJob Description:We are seeking a highly motivated student to work on a thesis project focused on predictive fast charging algorithms for battery lifetime improvement.Your Responsibilities:Conduct a literature review of ageing models and predictive fast charging algorithms.Develop an algorithm for lifetime prediction/ageing model of a battery pack.Develop a...
Thesis Opportunity in Urban Noise Prediction using Ray Tracing
vor 2 Monaten
Responsibilities:
- Conduct a comprehensive literature review on urban noise prediction and ray tracing methods.
- Develop and implement advanced ray tracing modeling techniques for urban noise analysis.
- Compare and evaluate the performance of ray tracing models with reference Finite Element Method (FEM) calculations.
- Calculate and analyze relevant urban noise predictors.
Requirements:
- Ongoing studies in civil engineering, mechanical engineering, or technical physics.
- Experience with transmission dynamics and FEM tools is an asset.
- Proficiency in English or German language.
- Basic knowledge of Finite Element Software.
What We Offer:
- Opportunity to work independently on your thesis with professional guidance and support from our experienced team.
- Chance to collaborate with experts in the company and benefit from their expertise.
- Immerse yourself in the world of AVL and apply theoretical knowledge in a practical environment.
The successful completion of the thesis is remunerated with a one-time fee. At AVL, we value diversity and celebrate individuality. We recognize that diverse perspectives are essential to achieving our vision of a greener, safer, and better world of mobility. We consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation, or disability status.
