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Master's Thesis - Investigation of Pool Evaporation Using Flow Simulation (m/f/d) Job Opening In Ludwigshafen – Now Hiring dark_blue_EMEA

Master's Thesis Investigation of Pool Evaporation Using Flow Simulation (m/f/d)

    Germany Jobs Expertini Expertini Germany Jobs Ludwigshafen Physical Scientists Master's Thesis Investigation Of Pool Evaporation Using Flow Simulation (M/f/d)

Job description

WELCOME TO BASF


We are a leading global research organization with over 3000 employees working in the field of material and analytical science, chemical synthesis, process development, bioscience, catalysis and digitalization.

With our creative and diverse teams as well as our cutting-edge research, we help to make our customers more successful and drive the sustainability transformation.

WHAT YOU CAN EXPECT


Would you like to deepen your theoretical knowledge in CFD modeling and gain valuable practical experience?

Our team, which specializes in the engineering aspects of process and plant safety, is looking for dedicated students for an internship with the option to pursue a subsequent thesis.

Take this opportunity to become part of a globally connected team and contribute to an exciting project with a scientific focus.

  • You will model mass transfer from a free liquid surface into an atmospheric boundary layer using the Computational Fluid Dynamics (CFD) software FLACS.
  • Additionally, you will quantify the relevant influencing factors on mass transport through a parameter study.

    This includes developing a suitable simulation setup, validating it against experimental data, and creating a simulation plan for optimized execution of the study.
  • You will automate the workflow and evaluation using the Python API in FLACS.
  • Finally, you will assess various mass transfer correlations from the literature, taking into account the results of the parameter study.
  • WHAT YOU OFFER


  • excellent knowledge in process engineering modeling with CFD, as well as in heat and mass transfer
  • solid experience in data processing and process automation using Python
  • confident use of AI-based assistants such as GitHub Copilot
  • strong problem-solving skills and a structured, independent working style
  • confident communication in international teams in both German and English
  • WHAT WE OFFER


  • Practical phase - actively apply theory in challenging and varied tasks/projects
  • Teambuddy - contact person for all questions and regular feedback
  • Networks - get to know different perspectives, ways of thinking and fields of work
  • Internship compensation - a recognition of the commitment, more information here
  • Flexible working hours - depending on the location and area of work
  • HOW TO REACH US


  • Fabienne Koenig (Talent Acquisition), fabienne.koenig@basf.com, Tel.:+49 30 2005-58121 will be happy to answer your questions for this position
  • You can also reach our recruiting team here
  • First information about our application process can be found here
  • ABOUT US


    BASF SE, located in Ludwigshafen am Rhein, is the corporate headquarters of the BASF Group and part of the Rhine-Neckar Metropolitan Region.

    BASF stands for competence in chemistry since 1865 and is represented today in the world's major consumer markets, with a wide range of products.

    As the largest employer in the region, BASF SE offers multiple career opportunities for students, university graduates and professionals providing also training in over 30 professions.

    Leisure, sports, culture and a good infrastructure characterize the Rhine-Neckar Metropolitan Region, in which BASF is also involved with numerous activities.

    Learn more about BASF SE at on.basf.com/BASFSE_LU

    Diversity is our greatest strength!


    Become a part of our winning formula for success and develop the future with us - in a global team that embraces inclusion and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.

    Required Skill Profession

    Physical Scientists


    • Job Details

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