Job
- Level
- Junior
- Job Field
- Data, Embedded
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Salary
- from 1.005 € Gross/Month
- Location
- Vienna
- Working Model
- Onsite
Job Summary
In this project, you will develop evaluation strategies for radio technologies in autonomous robots, analyze coverage and capacity, and create simulations to optimize link performance and localization.
Job Technologies
Your role in the team
- Dive into the state of the art in radio technologies for large outdoor environments, focusing on solutions such as LoRa/LoRaWAN, Wi-Fi / Wi-Fi HaLow, private 5G / campus networks, UWB and mesh-based approaches.
- Derive system requirements from a representative large-scale outdoor robotics scenario: area size, typical link distances, number and type of nodes (mobile machines, fixed infrastructure, sensors), required data rates, latency bounds, availability and robustness needs.
- Analyze and model coverage and capacity of selected radio technologies, comparing coverage range per node, infrastructure density, achievable throughput and latency, device energy consumption, and scalability for different deployment concepts.
- Investigate coarse localization capabilities of radio technologies as a fallback in case of GNSS degradation or loss, e.g., using RSSI-based methods, time-difference-of-arrival (TDoA) or other multilateration approaches, and assess achievable accuracy.
- Study how radio-based information can support dead reckoning, analyzing to what extent translation (position change) and rotation (heading/orientation) can be inferred or stabilized from communication infrastructure.
- Develop simulation or analytical evaluation scenarios (e.g., in Python) to compare different radio technologies and configurations, perform sensitivity analyses and visualize trade-offs between coverage, localization quality, infrastructure effort and energy use.
- Work as part of an experienced research team, receive close mentorship from scientists in robotics, wireless communication and localization, and learn how to plan, document and present an applied research project in a professional R&D environment – giving your scientific career a strong, application-driven kick-start.
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Our expectations of you
Qualifications
- Ongoing master’s studies in Telecommunications, Electrical Engineering, Computer Science, Robotics, Mechatronics, or a related technical field.
- Basic understanding of wireless communication principles (link budgets, propagation, latency, basic networking) and/or strong motivation to acquire this knowledge.
- Interest in autonomous systems, mobile robotics, wireless networks, and localization.
- Analytical mindset with enjoyment of conceptual work, modelling and quantitative comparison of alternatives.
- Ability to work both independently and as part of a team.
- Good command of English (spoken and written).
Experience
- Solid coding skills in Python; experience with simulation or modelling tools (e.g., for wireless systems or network analysis) is an advantage.
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Benefits
Health, Fitness & Fun
- 👨🏻🎓Mentor Program
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🎳Team Events
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏝Extra Holidays
- 🏠Home Office
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
Food & Drink
More net
Job Locations
Topics that you deal with on the job
This is your employer
AIT Austrian Institute of Technology GmbH
Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln
The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.
Description
- Company Size
- 250+ Employees
- Founding year
- 2007
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.8
Culture
4.2Engineering
4.0Career Growth
3.6Workingconditions
3.7