Rocket Factory Augsburg (RFA) - Intern mathematical modeling

Deadline: As soon as possible

Internships

Companies

Location(s)

Germany

Augsburg, Bavaria

Overview

At Rocket Factory Augsburg (RFA) we have one goal: create low-cost, flexible and reliable access to space. We specialize in the creation of small launcher solutions designed for deploying satellites into Low Earth Orbit (LEO) and beyond. Together with you, we want to revolutionize space services and help enhance life on Earth. Sounds interesting? Then join our journey and be part of the team leading the New Space movement in Europe!

Details

About the Team

Our international and agile team is searching for a motivated intern (m/f/d) to support our Software site team. You enjoy working in a dedicated, dynamic and international environment that aims for high-performance engineering solutions in aerospace technology? Then apply with us.

Your Tasks

Build and maintain a detailed mathematical model to quantify and mitigates risks associated to our launch operations
Develop pre- and post-processing python tools to support the flight safety analysis
Implement CI/CD and Git pipelines for streamlined data analysis and cross-departmental collaboration
Perform statistical analysis and Monte Carlo simulation

Opportunity is About

Computers & IT Physics & Math

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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

Your Qualifications

Enrolled in Bachelor or Master studies in Aerospace Engineering, Aerospace Mathematics or related discipline
Basics of statistics, analysis, model generation, and verification
Experience in working with Python,GIT
Knowledge in state-space representation and high fidelity statistics
Fluent English oral and written (all day-to-day activities are performed in English)
Self-independent, hands-on mentality and a structured way of working

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

We offer

Atmosphere: Experience life in an international & dynamic New Space start-up
Flexibility: Fit your working schedule to your needs with flexible working hours
Health: Sweat, stretch or squat it out with EGYM Wellpass
Paid Time Off: 20 days annual leave and special leave days
RFA Family: Join regular company and team events
Parking: Free parking for car and bike

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