Aktuelle Jobs im Zusammenhang mit Thesis in the field of Map Learning from September 2024 - Böblingen - Mercedes-Benz


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  • Böblingen, Baden-Württemberg, Deutschland STAR COOPERATION GmbH Vollzeit

    Thesis on Applications of Robotic Process Automation at STAR COOPERATION GmbHAre you eager to influence the evolution of work through advanced technologies? Do you have a strong interest in Robotic Process Automation (RPA) and its ability to enhance digital transformation within municipal and city governance? If this resonates with you, we present an...


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  • Social Work Instructor

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    Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Adjunct Faculty Opportunity in Social WorkUniversity of Maryland Global Campus (UMGC) is seeking qualified adjunct faculty to teach in the Social Work program. As a scholar-practitioner, you will have the opportunity to engage students in active learning, provide rich and regular constructive feedback, and demonstrate relevant and current subject-matter...

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    vor 2 Wochen


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    Faculty Position in Social Work:University of Maryland Global Campus (UMGC) is seeking adjunct faculty to teach in the Social Work program on-site in Stuttgart, Germany.Responsibilities:Teach Social Work courses in a face-to-face and online environment using Canvas Learning Management System.Actively engage students through frequent interaction, motivation,...


  • Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job SummaryUniversity of Maryland Global Campus (UMGC) is seeking an adjunct faculty member to teach in the Social Work program in Germany. The ideal candidate will have a Master's degree in Social Work or a related field and professional experience in the field.ResponsibilitiesTeach Social Work courses in a face-to-face and online environment using Canvas...

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    Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job Title: Adjunct Faculty - HistoryUniversity of Maryland Global Campus (UMGC) is seeking adjunct faculty to teach on-site in Germany for the History program.Job Summary:We are committed to helping students achieve success not only with us, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners:...

  • Adjunct Faculty

    vor 4 Wochen


    Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job Title: Adjunct Faculty - HistoryUniversity of Maryland Global Campus (UMGC) is seeking adjunct faculty to teach on-site in Germany for the History program.Job Summary:We are committed to helping students achieve success not only with us, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners:...

  • Social Work Instructor

    vor 4 Wochen


    Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job Title: Social Work InstructorWe are seeking a highly qualified Social Work Instructor to join our team at the University of Maryland Global Campus.About the RoleThe successful candidate will be responsible for teaching social work courses to students in a face-to-face and online environment. The instructor will be expected to develop and deliver engaging...

  • Social Work Instructor

    vor 4 Wochen


    Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job Title: Social Work InstructorWe are seeking a highly qualified Social Work Instructor to join our team at the University of Maryland Global Campus.About the RoleThe successful candidate will be responsible for teaching social work courses to students in a face-to-face and online environment. The instructor will be expected to develop and deliver engaging...

  • Social Work Instructor

    vor 3 Wochen


    Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job Title: Social Work InstructorWe are seeking a highly qualified Social Work Instructor to join our team at the University of Maryland Global Campus.About the PositionThis is a part-time, adjunct faculty position teaching in the Social Work program. The successful candidate will be responsible for teaching face-to-face and online courses, as well as...

  • Social Work Instructor

    vor 3 Wochen


    Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job Title: Social Work InstructorWe are seeking a highly qualified Social Work Instructor to join our team at the University of Maryland Global Campus.About the PositionThis is a part-time, adjunct faculty position teaching in the Social Work program. The successful candidate will be responsible for teaching face-to-face and online courses, as well as...


  • Böblingen, Baden-Württemberg, Deutschland University of Maryland Global Campus Vollzeit

    Job Title: German Language InstructorWe are seeking a highly qualified German Language Instructor to join our team at the University of Maryland Global Campus. As an adjunct faculty member, you will have the opportunity to teach on-site in Germany and contribute to the growth and development of our students.Job Summary:The German Language Instructor will be...

Thesis in the field of Map Learning from September 2024

vor 3 Monaten


Böblingen, Deutschland Mercedes-Benz Vollzeit
Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Map LearningGesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum:..4Veröffentlichungsdatum:..4Stellennummer:MERRRArbeitszeit:Vollzeit Join usAufgaben

In Group Research & Mercedes-Benz Cars Development (RD), we are shaping the automobile generations of the future. We are already working today on vehicles that will secure Daimler's technological leadership in the future. Autonomous driving is one of the strategic areas of development at Mercedes-Benz.

A central building block for automated driving is a complete understanding of the vehicle environment. The detection of the environment is primarily based on sensors such as lidar, camera and radar, but a digital road map also plays an important role. The road map provides contextual information for evaluating the current situation, which cannot be recognized by the sensors or only with difficulty, and thus completes the environment detection. The road map also provides important planning information about the route ahead.

A road map for automated driving must be significantly more accurate, more complete, more up-to-date and safer than the map previously used in navigation systems. To achieve this, sensor data from the vehicles is used, among other things, to update the road map and guarantee a correct HD map at all times via a closed-loop process. In the "Map Learning" team, we are working on developing such a closed-loop process for creating highly accurate maps.

Your task will focus on processing the sensor data from our vehicle fleet to create highly accurate and detailed digital road maps. You will create and develop scalable concepts and implement them together with our team. The focus is on deriving a consistent lane model from the processed sensor data using deep learning algorithms.

You will face these challenges:

Familiarization with existing software framework and state of the art algorithms Concept extension and development, as well as implementation of a learning-based approach for generating rich representations, in particular from the field of deep learning, graph deep learning, geometric deep learning and foundation models Development and implementation of an approach for estimating the required scope and ensuring the diversity of the training data used Concept development and development of an evaluation scheme to evaluate the results against an existing ground truth map and alternative approaches

The final topic will be determined in consultation with the university, you and us.

Qualifikationen Master's degree in the field of computer science, artificial intelligence, robotics or comparable Confident written and spoken German and English skills Strong programming skills in Python Experience in working with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) High degree of initiative and ability to work in a team Strong communication skills

Additional information:

Further information on the recruitment criteria can be found".

Nationals from countries outside the European Economic Area should send their residence/work permit with their application.

Please understand that we no longer accept paper applications and that there is no entitlement to return postage.

BenefitsEssens­zulagenMit­arbeiter­handy möglichMit­arbeiter­rabatte möglichMit­arbeiter­beteili­gung möglichMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichHybrides Arbeiten möglichGesund­heits­maß­nahmenBetrieb­liche Alters­ver­sorgungMobilitäts­angeboteBarriere­frei­heitGute An­bindungPark­platzKinder­betreuungBetriebs­arztKantine, Café

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