{"id":1391165,"url":"https://alion.io/job/airbus-internship-dfm-for-multi-agent-trajectory-planning","title":"Internship (d/f/m) for Multi-Agent Trajectory Planning","company":{"id":3100,"name":"Airbus","domain":"airbus.com","url":"https://alion.io/company/airbus","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":338,"ghost_share":0,"stale_share":0.506,"repost_share":0.027,"time_to_fill_p50_days":20,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manching, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":34000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":56},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Git","optional":true},{"name":"Linux","optional":true},{"name":"MATLAB","optional":true},{"name":"Simulink","optional":true}],"status":"live","first_seen_at":"2026-09-28T11:41:59Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-20T10:45:29Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"Job Description:\nIn order to support Airbus Defence and Space we are looking for an\nIntern (d/f/m) in the Flight Management Systems department\nAre you looking for an internship and want to get to know the work of an Aerospace Engineer? Then apply now! We look forward to you supporting us in the Flight Management Systems department as an intern (d/f/m)!\nLocation: Manching\nStart: As soon as possible\n Duration: 4 - 6 months\nReliable and efficient algorithms for multi-agent trajectory planning is an essential building block of future autonomous flying systems. In recent years, the incorporation of machine learning methods to enhance optimization has proven to be advantageous. Despite these advantages, the applications to complex and certifiable products remain limited. We are looking for a creative Master student to enhance novel optimization methods for robust multi-aircraft formation flight. The work may involve a wide range of mathematical and algorithmic methods, spanning from geometrical approaches to state-of-the-art deep learning techniques. The student will benefit from the close support of experienced members from our research and technology team, a plateau tasked with development of advanced algorithms.\nThe department \"Flight Management Systems\" at Airbus Defence and Space is in charge of system design and development of military and civil Flight Management Systems (FMS) and Flight Guidance functions. This covers manned aircraft and Remotely Piloted Aircraft Systems (RPAS) like Barracuda, Eurodrone, Bird of Prey and Ravenstorm including automatic/autonomous operations of these unmanned aircraft.\nYour location\nLocated about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.\nYour benefits\nAttractive salary and work-life balance with a 35-hour week (flexitime).\nInternational environment with the opportunity to network globally.\nWork with modern/diversified technologies.\nAt Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.\nOpportunity to participate in the Generation Airbus Community to expand your own network.\nYour tasks and responsibilities\nResearch and development of algorithms for multi-agent trajectory planning.\nEnhancing the functionality of existing algorithms in Python and C++.\nSupport in the preparation of relevant documentation for future research.\nDesired skills and qualifications\nEnrolled full-time Master student (d/f/m) in Mathematics, Computer Science, Aeronautical Engineering or a similar field of study.\nStrong programming skills in Python and/or C++.\nExperience with MATLAB/Simulink is a plus.\nFamiliarity and excitement for optimization, machine learning and trajectory planning.\nExperience with development tools such as Git, Linux and documentation in LaTeX.\nVery good English skills.\nExcellent team player.\nPlease upload the following documents: cover letter, CV, relevant transcripts, enrolment certificate.\nNot a 100% match? No worries! Airbus supports your personal growth.\nTake your career to a new level and apply online now!\nThis job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.\nCompany:\nAirbus Defence and Space GmbHEmployment Type:\nInternship-------\nExperience Level:\nStudentJob Family:\nSupport to Management By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.\nAirbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.\nAirbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to .\nAt Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.","description_format":"text","description_chars":4548,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Earth Observation","Combat Aircraft","Defense Manufacturing","Avionics & Flight Control"],"lifecycle":[{"event":"open","at":"2026-09-28T11:41:59Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.521,"p_room":0.55,"age_days":21,"expected_fill_days":20,"reasons":["conf:0","stale_co","velocity","win:tail","comp:junior,brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/airbus-internship-dfm-for-multi-agent-trajectory-planning","json_url":"https://alion.io/job/airbus-internship-dfm-for-multi-agent-trajectory-planning.json","meta":{"generated_at":"2026-10-20T11:36:04Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12765,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3100},"rest":"https://alion.io/mcp/rest/get_company?id=3100"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fairbus-internship-dfm-for-multi-agent-trajectory-planning"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fairbus-internship-dfm-for-multi-agent-trajectory-planning"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fairbus-internship-dfm-for-multi-agent-trajectory-planning"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/airbus-internship-dfm-for-multi-agent-trajectory-planning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fairbus-internship-dfm-for-multi-agent-trajectory-planning"}]}