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{{Stellenausschreibung
 
{{Stellenausschreibung
|Titel DE=Student Research Assistant (HiWi) for Statistical and Machine Learning on Raod Traffic Noise
+
|Titel DE=Student Research Assistant (HiWi) for Statistical and Machine Learning on Raod Traffic Noise (f/m/d)
|Titel EN=Student Research Assistant (HiWi) for Statistical and Machine Learning on Raod Traffic Noise
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|Titel EN=Student Research Assistant (HiWi) for Statistical and Machine Learning on Raod Traffic Noise (f/m/d)
 
|Beschreibung DE=The research assistant will support the scientific staff of the [https://www.aifb.kit.edu/web/Systems,_Data,_Simulation_%26_Energy/en Systems, Data, Simulation & Energy (SYDSEN)] and [https://www.aifb.kit.edu/web/Cooperative_Autonomous_Systems/en Cooperative Autonomous Systems (CAS)]  research groups on the''' [https://aifb.kit.edu/web/Project_Tyre_Road_Noise Project Tyre Road Noise: Data-based study of effects on controlled and real drive noise emission] ''', funded by the [https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/tyron.html German Federal Ministry of Digital and Transport, BMDV] . We specialize in WP6 of the project, dedicated to the preparation and advancement of (AI) methodologies, focusing on research in statistical and machine learning techniques for noise modeling and analysis of determinants. Moreover, our research endeavors will extend to simulation methodologies, e.g., agent-based simulation.
 
|Beschreibung DE=The research assistant will support the scientific staff of the [https://www.aifb.kit.edu/web/Systems,_Data,_Simulation_%26_Energy/en Systems, Data, Simulation & Energy (SYDSEN)] and [https://www.aifb.kit.edu/web/Cooperative_Autonomous_Systems/en Cooperative Autonomous Systems (CAS)]  research groups on the''' [https://aifb.kit.edu/web/Project_Tyre_Road_Noise Project Tyre Road Noise: Data-based study of effects on controlled and real drive noise emission] ''', funded by the [https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/tyron.html German Federal Ministry of Digital and Transport, BMDV] . We specialize in WP6 of the project, dedicated to the preparation and advancement of (AI) methodologies, focusing on research in statistical and machine learning techniques for noise modeling and analysis of determinants. Moreover, our research endeavors will extend to simulation methodologies, e.g., agent-based simulation.
  
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We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, or related fields, preferably at KIT.
 
We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, or related fields, preferably at KIT.
  
• Proficiency in Python and R
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• Proficiency in Python and R, and readiness to learn other programming languages as needed
  
 
• Basic understanding of data science
 
• Basic understanding of data science
  
• Bonus: familiarity with time series analysis, transportation science
+
• Bonus: familiarity with time series analysis, transportation science, simulation and modeling
  
 
• Strong communication skills for collaboration with diverse project partners
 
• Strong communication skills for collaboration with diverse project partners
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We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, or related fields, preferably at KIT.
 
We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, or related fields, preferably at KIT.
  
• Proficiency in Python and R
+
• Proficiency in Python and R, and readiness to learn other programming languages as needed
  
 
• Basic understanding of data science
 
• Basic understanding of data science
  
• Bonus: familiarity with time series analysis, transportation science
+
• Bonus: familiarity with time series analysis, transportation science, simulation and modeling
  
 
• Strong communication skills for collaboration with diverse project partners
 
• Strong communication skills for collaboration with diverse project partners
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The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.
 
The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.
 
|Stellenart=HiWi / Tutor(in)
 
|Stellenart=HiWi / Tutor(in)
 +
|Link PDF=20240226_TyRoN_HiWi (f:m:d).pdf
 
|Forschungsgruppe=Systems, Data, Simulation & Energy
 
|Forschungsgruppe=Systems, Data, Simulation & Energy
 
|Ausschreibender=Min-Bin Lin
 
|Ausschreibender=Min-Bin Lin
 
}}
 
}}
 
Please feel free to reach out via email at min-bin.lin@kit.edu if you have any questions. We are happy to see you join!
 
Please feel free to reach out via email at min-bin.lin@kit.edu if you have any questions. We are happy to see you join!

Version vom 27. Februar 2024, 10:26 Uhr

Student Research Assistant (HiWi) for Statistical and Machine Learning on Raod Traffic Noise (f/m/d)

Stellenausschreibung




Stellenbeschreibung

The research assistant will support the scientific staff of the Systems, Data, Simulation & Energy (SYDSEN) and Cooperative Autonomous Systems (CAS) research groups on the Project Tyre Road Noise: Data-based study of effects on controlled and real drive noise emission , funded by the German Federal Ministry of Digital and Transport, BMDV . We specialize in WP6 of the project, dedicated to the preparation and advancement of (AI) methodologies, focusing on research in statistical and machine learning techniques for noise modeling and analysis of determinants. Moreover, our research endeavors will extend to simulation methodologies, e.g., agent-based simulation.


The tasks include:

• Research on quantitative methods for road traffic noise modeling

• Reviewing literature relevant to the project and the research that we do

• Implementing proofs of concept for the above tasks

• Communication with project partners and demonstrators

• Documenting all tasks and outcomes


Qualifications and Skills:

We seek highly motivated Bachelor or Master students in computer science, industrial engineering, statistics and econometrics, or related fields, preferably at KIT.

• Proficiency in Python and R, and readiness to learn other programming languages as needed

• Basic understanding of data science

• Bonus: familiarity with time series analysis, transportation science, simulation and modeling

• Strong communication skills for collaboration with diverse project partners

• Adequate English language proficiency for international teamwork


We offer:

• A part-time contract offering 30 to 60 hours per month, with salary tailored to the level of educational attainment. The initial contract duration is flexible, ranging from 3 to 6 months, with high likelihood for extension.

• Flexible working hours, also working at home possible.

• A variety of tasks so that you can learn a lot. Also, state-of-the-art research can be performed and will be published together with the student.

The payment is based on the rates of the state of Baden-Württemberg for academic assistants. The employment is temporary.

Stellenart

HiWi / Tutor(in)

Link PDF

Download (pdf)

Ausschreibende(r)

Min-Bin Lin

Forschungsgruppe

Systems, Data, Simulation & Energy

Bewerbungsfrist

keine Angabe





Please feel free to reach out via email at min-bin lin∂kit edu if you have any questions. We are happy to see you join!