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- Aufgaben: Join a dynamic team solving real-world logistics challenges with cutting-edge AI technology.
- Arbeitgeber: Pixel Robotics creates smart robots that revolutionize intralogistics with innovative AI solutions.
- Mitarbeitervorteile: Enjoy a flexible work environment, free drinks, and fun employee events in a modern office.
- Warum dieser Job: Be part of a future-proof company making an impact while developing your skills in a collaborative culture.
- Gewünschte Qualifikationen: Pursuing a degree in tech or business; logistics focus is a plus. Must be analytical and independent.
- Andere Informationen: Willingness to travel up to 30% is required; class B1 driver's license needed.
Pixel Robotics builds intelligent, perception-driven robots tailored to intralogistics. Our unique AI vision infrastructure creates a digital twin of the operating area. With the help of this real-time twin, Pixel Robotics robots work together with their human colleagues – autonomously, safely and with unrivaled flexibility
Tasks
- You are part of an interdisciplinary project team and contribute independently to the success of projects
- You use our innovative technologies to solve logistical issues for customers
- You visit our customers and record the conditions and processes on site
- You document your observations and communicate them to the project team
- You analyze your findings and map them in the customer-specific digital twin using our W2MO software
- You independently consult with customers
- You help with the integration of our AI Recognition Units (remote or on site)
- You support the implementation of our AMRs (Autonomous Mobile Robots) on site
Requirements
- You are in the middle of your studies with a technical or business background (focus on logistics is an advantage)
- You enjoy familiarizing yourself with new things, have an analytical mindset, are flexible, committed and work independently
- You impress with your pragmatic approach and hands-on mentality
- You have already gained experience with MS Office
- You are fluent in English and (preferably) as well in German for communicating with customers and colleagues
- You have a class B1 driver’s license
- You are willing to travel up to 30% of the time
Benefits
- A varied and exciting job in an internationally active company with well-known clients
- Diverse development opportunities in a prestigious, future-proof and centrally located modern workplace with excellent transport links (subway) near the Olympic Park
- Extras such as free cold drinks, coffee specialties, fruit and employee events
- Friendly, helpful colleagues and flat hierarchies
Working Student Project Team AI Digital Twin & AMR (Intralogistics & Production) Arbeitgeber: Pixel Robotics
Kontaktperson:
Pixel Robotics HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student Project Team AI Digital Twin & AMR (Intralogistics & Production)
✨Tip Number 1
Familiarize yourself with the latest trends in intralogistics and AI technologies. Understanding how digital twins and autonomous mobile robots work will give you an edge during discussions with the project team and clients.
✨Tip Number 2
Network with professionals in the field of logistics and robotics. Attend relevant workshops or webinars to meet people who can provide insights into the industry and potentially refer you to opportunities at Pixel Robotics.
✨Tip Number 3
Prepare to showcase your analytical skills by thinking of examples from your studies or previous experiences where you solved logistical problems. Being able to discuss these in detail will demonstrate your hands-on mentality.
✨Tip Number 4
Since the role involves customer interaction, practice your communication skills in both English and German. Being able to confidently engage with clients will be crucial for your success in this position.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student Project Team AI Digital Twin & AMR (Intralogistics & Production)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight how your skills and experiences align with the needs of Pixel Robotics.
Highlight Relevant Experience: Emphasize any previous experience you have in logistics, project management, or working with technology. If you've worked on similar projects or have relevant coursework, make sure to mention it.
Showcase Your Skills: Demonstrate your analytical mindset and hands-on mentality in your application. Provide examples of how you've approached problem-solving in past experiences, especially in technical or logistical contexts.
Communicate Effectively: Since communication is key in this role, ensure your application is clear and concise. If you're fluent in both English and German, highlight this skill prominently, as it will be beneficial for interacting with customers and colleagues.
Wie du dich auf ein Vorstellungsgespräch bei Pixel Robotics vorbereitest
✨Show Your Analytical Skills
Since the role requires an analytical mindset, be prepared to discuss examples from your studies or previous experiences where you successfully analyzed data or solved logistical issues. Highlight how you approached these challenges and the impact of your solutions.
✨Demonstrate Your Hands-On Mentality
The company values a pragmatic approach, so share instances where you've taken initiative in projects or tasks. Discuss any relevant experiences where you had to adapt quickly and implement solutions effectively.
✨Familiarize Yourself with W2MO Software
If possible, take some time to learn about the W2MO software before the interview. Being able to discuss its functionalities and how it relates to creating digital twins will show your genuine interest in the role and the company's technology.
✨Prepare for Customer Interaction Scenarios
Since the position involves consulting with customers, think of scenarios where you've had to communicate complex information clearly. Practice articulating how you would approach customer visits and document observations effectively.
