BMW - Intern Scientific Machine Learning for PDEs and Optimization

Deadline: As soon as possible

Internships

Companies

Location(s)

Germany

München

Overview

We, the BMW Group, offer you an interesting and varied internship in the area of Scientific Machine Learning for PDEs.

Details

We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

What awaits you?

Interesting projects based on Scientific and Physics-Informed Machine Learning architectures.
Design, implementation and analysis of state-of-the-art ML/DL algorithms tailored for CAE applications.
Possible deployment of ML algorithms in the development environment with end-to-end responsability.

Opportunity is About

Computers & IT Engineering

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

What should you bring along?

Curiosity for AI problems and practical mindset.
BSc in Mathematics, Physics, Computer Science or related fields.
Good programming skills with Python: practical experience in at least one of the deep learning frameworks like Pytorch or JAX is a plus.
Theoretical and practical experience in at least one of the fields and at least interest in the other one: Analysis and numerical resolution of ODEs and PDEs and Machine Learning algorithms, especially Neural Networks.

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

What do we offer?

Comprehensive mentoring & onboarding.
Personal & professional development.
Flexible working hours.
Digital offers & mobile working.
Attractive remuneration.
Apartment offers for students (subject to availability & only Munich).
And many other benefits

You enjoy working in an international team? Apply now!

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