Research assistant with Bachelors`s degree (f/m/d) In the field of Modeling at RWTH Aachen University
52062 Aachen, , Germany -
Full Time


Start Date

Immediate

Expiry Date

13 Nov, 25

Salary

0.0

Posted On

13 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

WEITERE INFORMATIONEN

The position is to be filled at the earliest possible date and offered for a fixed term one year.
A long-term cooperation is highly desired
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a part-time contract position.
The standard weekly hours will be 8 hours.
The salary is based on the RWTH Guidelines for Student and Graduate Assistants.
The position corresponds to a pay grade of 16,00 Euros.

IHR PROFIL

As part of the Circular E-Cars project, ANTS will investigate the entire value chain of end-of-life vehicles together with project partners. The goal of the project is to develop novel recycling concepts to enhance the recovery of valuable materials. The role of ANTS in the Circular E-Cars project is to develop more efficient process chains and assessment methods to optimize end-of-life pathways for automotive components.
We are looking for ambitious and motivated students who wish to join our area of Modeling and Assessment. As a goal-oriented research institute, we welcome students who share ANTS’ mission to design more efficient and sustainable industrial systems and to ensure that human activities remain within planetary boundaries. We expect students to have strong technical skills as well as an awareness of all dimensions of sustainability – ecological, economic, and social.

You should bring the following:

  • Bachelor`s degree + immatriculation in a consecutive course
  • Intrinsic motivation to contribute to ANTS’ mission.
  • Interest in and/or previous experience with tools of industrial ecology, such as MFA and LCA.
  • Effective written and oral communication skills.
  • Willingness to continuously learn and develop in the field of industrial ecology and beyond.
  • Team spirit and a positive attitude.
  • Independent and proactive working style.
  • Good English skills (German skills are an advantage).
  • Previous experience with machine learning and simulations is a plus.
Responsibilities

Please refer the Job description for details

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