Ofertes 2023

Alemanya

German Aerospace Center DLR

Empresa

German Aerospace Center DLR                              

Projecte:

Internet of Things Waveform Analysis and Comparison – LoRa-e

Codi:

 D DLR_1

Estudis

Master

Tipus d'estada:

 Master’s Thesis / Internship

Descripció

Context

The German Aerospace Center DLR has a dual mandate as the national research center for aeronautics and space, and as the space agency of the German federal government. Approximately 10 000 people work for DLR on a uniquely diverse range of topics spanning the fields of aeronautics, space, energy, transport and security research. They collaborate on projects extending from fundamental research to the development of the innovative applications and products of the future. If the idea of joining a top-class team of researchers working in a supportive, inspirational environment appeals to you, then why not launch your mission with us?

 

Project

For the Institute of Communications and Navigation, Satellite Networks Department in Oberpfaffenhofen.

 

Description

In the latest years a novel paradigm in communications has arisen: a massive amount of devices need to communicate via a wireless medium carrying small data units in an efficient manner. Departing from classical medium access protocols, novel Internet of Things (IoT) solutions aim at providing cost-effective and energy- efficient schemes. Both proprietary solutions like SigFox and LoRaWAN as well as standards like NB-IoT have been already successfully deployed. At our department, alternative solutions based on advanced random access schemes employing both strong error-correcting codes and multi-user detection techniques have been designed, analyzed and tested via prototypes.

The thesis/internship aim is to design a detailed PHY and MAC simulator able to provide the performance of one (or more) of SigFox, LoRaWAN with its latest embodiement, LoRa-e and NB-IoT schemes. Detailed characterization of the packet payload as well as of the channel model is required. At the receiver side, starting with a simple idealized scenario (ideal detection, channel estimation, emulation of the channel decoding procedure via e.g. Normal Approximation), we will move towards a more sophisticated receiver able to cope with detection, time, frequency and phase estimation as well as channel estimation. Finally, channel decoding will also be performed.

Inici ASAP
Durada 6 months
Requisits
  • Study of Electrical Engineering, Communication Engineering or Computer Science or similar
  • Hands on experience in MATLAB programming
  • Layer 1 (PHY) and Layer 2 (MAC only) basic knowledge is advantageous
Localització

 Oberpfaffenhofen - Germany

Data de publicació

 January 2023

 

 

Empresa

German Aerospace Center DLR                              

Projecte:

Machine Learning Detection Algorithms for Internet of Things

Codi:

 D DLR_2

Estudis

Master

Tipus d'estada:

 Master’s Thesis / Internship

Descripció

Context

The German Aerospace Center DLR has a dual mandate as the national research center for aeronautics and space, and as the space agency of the German federal government. Approximately 10 000 people work for DLR on a uniquely diverse range of topics spanning the fields of aeronautics, space, energy, transport and security research. They collaborate on projects extending from fundamental research to the development of the innovative applications and products of the future. If the idea of joining a top-class team of researchers working in a supportive, inspirational environment appeals to you, then why not launch your mission with us?

 

Project

For the Institute of Communications and Navigation, Satellite Networks Department in Oberpfaffenhofen.

 

Description

The internet of Things (IoT) is attracting an increasing attention from both industry and academia, and will be a core component of the next generation 6G systems. In an IoT network, a potentially massive number of low-cost, low-complexity devices generate traffic to be reported to a common receiver monitoring the situation. Relevant examples include asset tracking, industrial and environmental monitoring, smart cities, as well as cyber-physical systems. In such a scenario, the possibility to let a large amount of concurrent transmissions coexist is key to improve the spectral efficiency and reliability of the next generation communication systems. Small data units sporadically transmitted by a vast population of terminals with low- to very-low duty cycle, poses unprecedented challenges to the multiple access design. Coordinating the transmission entails an overhead that may grow unbearably with the total population size and not with the number of active users, which might be order of magnitude lower. Further, such terminals might be battery powered and hence low energy consumption is key.

The aim of the thesis is to evaluate how machine learning can aid and possibly enhance the detection of small data packets transmitted asynchronously and uncoordinatedly. In modern random-access solutions, several overlapping packets may anyhow be decoded, thanks to powerful forward error correction, interference cancellation and other advanced signal processing techniques. In these scenarios, packet detectors are required to operate in a very harsh environment with unfavorable signal-to-noise and interference ratio. Additionally, detection algorithms that are theoretically optimal are difficult (if not impossible) to devise, due to the exponential number of possible interference cases that may arise in an uncoordinated and asynchronous access policy. Machine-learning algorithms appear to be very suited to such cases and in the thesis we would like to explore what relevant supervised learning algorithms may be beneficial, taking into consideration relevant trade-offs, in terms of e.g. complexity, detection performance, etc.

Inici ASAP
Durada 6 months
Requisits
  • Study of Electrical Engineering, Communication Engineering or Computer Science or similar
  • Hands on experience in MATLAB or Python programming
  • Layer 1 (PHY) and Layer 2 (MAC only) basic knowledge is advantageous
  • Basic supervised learning knowledge is advantageous
Localització

 Oberpfaffenhofen - Germany

Data de publicació

 January 2023

  

 

Empresa

German Aerospace Center DLR                              

Projecte:

Wireless Waveforms for the Satellite Internet of Things

Codi:

 D DLR_3

Estudis

Master

Tipus d'estada:

 Master’s Thesis

Descripció

Context

The German Aerospace Center DLR has a dual mandate as the national research center for aeronautics and space, and as the space agency of the German federal government. Approximately 10 000 people work for DLR on a uniquely diverse range of topics spanning the fields of aeronautics, space, energy, transport and security research. They collaborate on projects extending from fundamental research to the development of the innovative applications and products of the future. If the idea of joining a top-class team of researchers working in a supportive, inspirational environment appeals to you, then why not launch your mission with us?

 

Project

For the Institute of Communications and Navigation, Satellite Networks Department in Oberpfaffenhofen.

 

Description

The Internet of things (IoT) is attracting an increasing attention from both industry and academia, and will be a core component of next generation 6G systems. In an IoT network, a potentially massive number of low-cost, low-complexity devices generate traffic to be reported to a common receiver monitoring the situation. Relevant examples include asset tracking, industrial and environmental monitoring as well as smart cities. In this context, the possibility to collect IoT messages via constellations of small satellites in low-Earth orbit is a key enabler to provide global connectivity, and has recently been introduced by 3GPP as part of the 5G standard. The reception of data at satellites that fly at high speed poses however also a number of technical challenges, such as signal distortions due to Doppler shift. The design of advanced waveforms at the physical and medium access control layer to enable efficient IoT communications via non-terrestrial networks will thus play a key role for the development of upcoming communications systems.

The thesis will focus on the investigation, also by means of network simulations, of the narrow-band IoT (NB- IoT) waveform currently supported by the 5G standard. Its performance over satellite links will be studied, in comparison with other recently proposed solutions for massive IoT access. The student will have the chance to learn about IoT systems, satellite-based communications, and become familiar with protocols that are a core part of 5G and next generation wireless standards.

Inici ASAP
Durada 6 months
Requisits
  • Study of Electrical Engineering, Communication Engineering or Computer Science or similar
  • Layer 1 (PHY) and Layer 2 (MAC) basic knowledge
  • Experience in programming (e.g., Matlab or C/C++)
Localització

 Oberpfaffenhofen - Germany

Data de publicació
 January 2023

Empresa

German Aerospace Center DLR                              

Projecte:

IoT towards 6G: Advanced Modulation Schemes

Codi:

 D DLR_4

Estudis

Master

Tipus d'estada:

 Master’s Thesis

Descripció

Context

The German Aerospace Center DLR has a dual mandate as the national research center for aeronautics and space, and as the space agency of the German federal government. Approximately 10 000 people work for DLR on a uniquely diverse range of topics spanning the fields of aeronautics, space, energy, transport and security research. They collaborate on projects extending from fundamental research to the development of the innovative applications and products of the future. If the idea of joining a top-class team of researchers working in a supportive, inspirational environment appeals to you, then why not launch your mission with us?

 

Project

For the Institute of Communications and Navigation, Satellite Networks Department in Oberpfaffenhofen.

 

Description

The Internet of things (IoT) is attracting an increasing attention from both industry and academia, and will be a core component of next generation 6G systems. In an IoT network, a potentially massive number of low-cost, low-complexity devices generate traffic to be reported to a common receiver monitoring the situation. Relevant examples include asset tracking, industrial and environmental monitoring as well as smart cities. In this context, the possibility to collect IoT messages via constellations of small satellites in low-Earth orbit is a key enabler to provide global connectivity, and has recently been introduced by 3GPP as part of the 5G standard. The reception of data at satellites that fly at high speed poses however also a number of technical challenges, such as signal distortions due to Doppler shift. The design of advanced waveforms at the physical and medium access control layer to enable efficient IoT communications via non-terrestrial networks will thus play a key role for the development of upcoming communications systems.

The thesis will focus on the investigation, also by means of network simulations, of the narrow-band IoT (NB- IoT) waveform currently supported by the 5G standard. Its performance over satellite links will be studied, in comparison with other recently proposed solutions for massive IoT access. The student will have the chance to learn about IoT systems, satellite-based communications, and become familiar with protocols that are a core part of 5G and next generation wireless standards.

Inici ASAP
Durada 6 months
Requisits
  • Study of Electrical Engineering, Communication Engineering or Computer Science or similar
  • Knowledge of Layer 1 (PHY), especially fundamentals of modulation, and Layer 2 (MAC)
  • Experience in programming (e.g., Matlab or C/C++)
Localització

 Oberpfaffenhofen - Germany

Data de publicació

 January 2023

LUMILEDS

Empresa

Lumileds Germany GmbH                

Projecte:

Large Area Metasurfaces for Solid State Lighting LEDs

Codi:

 D LUMILEDS_1

Estudis

Bachelor and Master

Tipus d'estada:

 Internship

Descripció

Internship job offer for bachelor and master students in the field of photonics, electronics, electrical and telecommunication engineering.

 

Lumileds R&D is searching for graduate and undergraduate students willing to contribute to the solid state lighting industry. The student/s will work in a high tech industry facility together with a professional research team of electrical engineers and physicists. The specific research project they are asked to participate in relates to metasurfaces for Solid State Lighting applications with particular focus on light manipulation such as beam benders and light focusing.

 

Main responsibilities are:

-          Establish design procedure and automate design workflow of metalens structures.

-          Construct models of large area metalens for use in raytracing software for system optics analysis.

-          Model calibration, testing and validation based on experimental characterization.

 

Inici ASAP
Durada 6 months to 1 year depending on interest and availability
Requisits

English, computational engineering, optics and photonics.

Localització

Aachen, Germany

Data de publicació

 October 2023

 

 

 

 

Empresa

Lumileds Germany GmbH                

Projecte:

Machine Learning Model and Data Base for Phosphor Spectral Analysis

Codi:

 D LUMILEDS_2

Estudis

Bachelor and Master

Tipus d'estada:

 Internship

Descripció

Internship job offer for bachelor and master students in the field of photonics, electronics, electrical and telecommunication engineering.

 

Lumileds R&D is searching for graduate and undergraduate students willing to contribute to the solid state lighting industry. The student/s will work in a high tech industry facility together with a professional research team of electrical engineers and physicists. The specific research project they are asked to participate in relates to light conversion in phosphors.

 

Main responsibilities are:

- Develop a numerical model for making color analysis of converted light by a combination of different phosphor materials.

- Develop a machine learning model to obtain estimations of the model input parameters.

- Establish the architecture of the data base to feed the machine learning algorithm with experimental data.

Inici ASAP
Durada 6 months to 1 year depending on interest and availability
Requisits

English, computational engineering, optics and photonics.

Localització

Aachen, Germany

Data de publicació

 October 2023

Empresa

Lumileds Germany GmbH                

Projecte:

Metasurfaces for Solid State Lighting LEDs and artificial reality

Codi:

 D LUMILEDS_3

Estudis

Bachelor and Master

Tipus d'estada:

 Internship

Descripció

Internship job offer for bachelor and master students in the field of photonics, electronics, electrical and telecommunication engineering.

 

Lumileds R&D is searching for graduate and undergraduate students willing to contribute to the solid state lighting industry. The student(s) will work in a high-tech industry facility alongside a professional research team of electrical engineers and physicists.

The specific research project focuses on metasurfaces for Solid State Lighting applications, with a particular emphasis on artificial and virtual reality. As these technologies continue to advance, the demand for higher resolutions, larger contrast, higher efficiencies, and compactness is ever-growing. These challenges require solutions that involve cutting-edge technologies in various disciplines such as optical engineering, photonics, and solid-state lighting. Some of the main challenges to be accomplished by the next generation of artificial and virtual reality devices require the development of ultra-small micro LEDs. Despite the size specifications of these micro LEDs, it is necessary for them to maintain high efficiency, brightness, and also provide specific radiation patterns. In this context, metasurfaces appear as one interesting element to achieve some of the goals, thanks to their ability to control light propagation and emission in compact spaces.

 

The student(s) ' responsibilities will involve developing computational methods to analyze metasurfaces' response and design optimal structures.

 

Responsibilities:

- Conduct literature research on the use of metasurfaces to control various desired properties of light.

- Develop and test numerical models to solve light propagation in nanostructures.

Inici ASAP
Durada 6 months to 1 year depending on interest and availability
Requisits

English, computational engineering, optics and photonics.

Localització

Aachen, Germany

Data de publicació

 October 2023

OHB

Empresa

OHB System AG      

Projecte:

Students (working students, internships, thesis) unsolicited (m/f/d).

Codi:

 D OHB_1

Estudis

Bachelor, Master

Tipus d'estada:

 Thesis / Internship

Descripció

Context

OHB System AG is one of the leading space companies in Europe. The company is part of the listed high-tech group OHB SE, which has more than 3,000 employees working on pivotal European space programs. With two strong locations in Bremen and Oberpfaffenhofen near Munich and more than 40 years of experience, OHB System AG specialises in high-tech solutions for space. These include low-orbiting and geostationary satellites for Earth observation, navigation, telecommunications, science, and space exploration as well as systems for human space flight and aerial reconnaissance. We owe our success to our employees' passion for innovation, as well as their commitment and initiative.

 

Description

Would you like to become part of a future-oriented company in the space industry? We give you the opportunity to develop in exciting fields of responsibility and projects. At our Oberpfaffenhofen location, we are looking for talented and dedicated.

 

Your Tasks

  • Depending on your individual interests, you will take on tasks from various areas (e.g. Systems Engineering, Software & IT, Integration & Test, Quality, Project Management, Corporate Communications, etc.)

 

Inici

ASAP

Durada tbc
Nombre de places 2
Requisits
  • You are a registered student (e.g. aerospace engineering, electrical engineering, computer science, physics, business administration or in a comparable field of study).

  • Ideally, you have already gained some experience in previous internships.

  • You enjoy working in a team and have a high degree of initiative.

  • You have a very good command of English language.

  • Your enthusiasm for space travel and innovative technologies completes your profile.

Localització

Oberpfaffenhofen location

Data de publicació

Gener 2024

 

 

 

Empresa

OHB System AG      

Projecte:

Internship in E-AIT (m/f/d)

Codi:

 D OHB_2

Estudis

Bachelor, Master

Tipus d'estada:

Thesis / Internship

Descripció

Context

OHB System AG is one of the leading space companies in Europe. The company is part of the listed high-tech group OHB SE, which has more than 3,000 employees working on pivotal European space programs. With two strong locations in Bremen and Oberpfaffenhofen near Munich and more than 40 years of experience, OHB System AG specialises in high-tech solutions for space. These include low-orbiting and geostationary satellites for Earth observation, navigation, telecommunications, science, and space exploration as well as systems for human space flight and aerial reconnaissance. We owe our success to our employees' passion for innovation, as well as their commitment and initiative.

 

Description

As part of the electrical AIT team you support and perform integration and test activities in one of our space projects

 

Tasks:

  • Electrical Assembly: Assisting in the assembly of electrical components and systems for aerospace applications

  • Integration and Test: Collaborating on the integration of electrical assemblies into aerospace devices, as well as conducting tests and verifications

  • Documentation: Creating detailed documentation of performed tasks and test results

  • Team Collaboration: Working closely with experienced engineers and technicians to deepen your understanding of complex aerospace projects

Inici

Application May-June 2024

Durada 6 months
Nombre de places 1
Requisits
  • Enrolled student (m/f/d) in electrical engineering, aerospace engineering, physics, IT or a similar engineering discipline

  • Practical hands-on experience with electrical projects
  • Practical apprenticeship is a strong plus
  • You are motivated and like to work in an international team with a high level of commitment
  • You are interested in interdisciplinary work
  • Fluent English oral and written (almost all day-to-day activities are performed in English)

Localització

Oberpfaffenhofen location

Data de publicació

Gener 2024

 

Empresa

OHB System AG      

Projecte:

Internship in Image Simulation & Processing (m/f/d).

Codi:

 D OHB_3

Estudis

Bachelor, Master

Tipus d'estada:

Thesis / Internship

Descripció

Context

OHB System AG is one of the leading space companies in Europe. The company is part of the listed high-tech group OHB SE, which has more than 3,000 employees working on pivotal European space programs. With two strong locations in Bremen and Oberpfaffenhofen near Munich and more than 40 years of experience, OHB System AG specialises in high-tech solutions for space. These include low-orbiting and geostationary satellites for Earth observation, navigation, telecommunications, science, and space exploration as well as systems for human space flight and aerial reconnaissance. We owe our success to our employees' passion for innovation, as well as their commitment and initiative.

 

Description

In this position you will contribute to a service based on spaceborne data to provide practical and actionable information for the mitigation and adaptation to urban heat within the EU Horizon 2020 project CityCLIM. In close collaboration with experienced colleagues from the Remote Sensing Group, you shall perform development and validation activities for the modelling of urban climate and urban heat islands. Your work can also be in combination with a Bachelor Thesis or Semester Thesis. Your detailed tasks will be defined with your supervisor according to your interests and strengths. The duration is flexible and a start is envisioned as soon as possible.

 

Tasks:

  • Perform a temporal analysis of the impact of construction sites on heat based on historical examples

  • Support the improvement of an urban heat simulation tool

  • Validate current Machine Learning models for urban heat change prediction

  • Support colleagues with project work such as analyses, documentation update, preparation of deliveries

Inici

ASAP

Durada 6 months
Nombre de places 1
Requisits
  • Experience in scientific programming (e.g., Python, MATLAB)

  • Basic knowledge of remote sensing technology, data analysis, machine learning methods, and image processing

  • Good communication skills and team spirit

  • Fluent in English in reading and writing

Localització

Oberpfaffenhofen location

Data de publicació

Gener 2024

 

Dinamarca

Nokia

Empresa Nokia                                                                                                            
Projecte:

Network energy savings through Non Terrestrial Networks

Codi:

 Dk Nokia_1

Estudis

Master

Tipus d'estada:

Internship

Descripció

Context

The Nokia Aalborg department is part of the Nokia Standards organization, which supports development of 3GPP Radio Access specifications.

 

Project

Network energy savings are necessary to decreases the CO2 footprint from the cellular industry. With Non-Terrestrial Networks (NTN) through for instance LEO satellites providing coverage everywhere they can serve as coverage layer for all traffic, such that terrestrial cells can be switched off when traffic loads are low.

To enable this without degradation of service it requires mechanisms to quickly switch on the relevant terrestrial cells when the load in a certain area increases and good seamless mobility solutions between TN and NTN.

Description

The project has the following objectives:


• Identify the scenarios where these energy savings through NTN connectivity can be used and its limitations.


• Investigate the network optimizations and features needed to support these energy saving mechanisms.


• Evaluate the performance in terms of network energy savings and impact on user performance and system capacity

 

Inici September 1st 2023
Durada ~10 months
Nombre de places

 1 - 2

Requisits

Matlab (Nokia enterprise license), understanding of LTE/NR system (RRM, mobility), optionally knowledge about NTN (3GPP, U-SPACE, GSMA, etc.)

Compensació TBD
Localització

Aalborg, Denmark. Students will be in the Nokia office. 

Data de publicació

 maig 2023

 

 

Empresa Nokia                                                                                                           
Projecte:

TCP Performance over Non Terrestrial Networks

Codi:

 Dk Nokia_2

Estudis

Master

Tipus d'estada:

Internship

Descripció

Project

In 5G NR non-terrestrial networks communication is provided through access points on satellites. The satellites can be in Low Earth Orbit (LEO) or Geo Stationary Orbit (GEO), with altitudes from 600 km to 37000 km. Each satellite is providing radio coverage via the service link to a large geographical area on Earth, and the size of the corresponding NR cells, where UEs are served, are significantly larger compared to terrestrial networks.


There are several challenges to make NR work over NTN satellites. First, there is the large distance between the UE and gNB. The signal must travel via the service link to the satellite payload (in space) and via the feeder link to the satellite gateway (on Earth). This leads to a poor link budget and impacts the throughputs and causes large round-trip times. The larger round trip times cause delays in all control loops from L1 retransmissions, higher layer retransmissions to handovers execution times. For non-geostationary (NGSO) satellites there is a further complication since the satellites move very fast relative to Earth. A LEO satellite at 600 km height, for instance, moves at approximately 7.5 km/s. This leads to drift in the timing among others.


Another impacting factor on the delays is the architecture which is used. The two main architectures for NTN are the transparent payload architecture and regenerative payload architecture. In the transparent architecture the satellite acts as a repeater. It receives the downlink signals from the gNB (located on earth) through the terrestrial satellite gateway, and the satellite translates the frequency and transmits the signals using a beamformer to the UE. The biggest advantage of this architecture is its simplicity. Being deployed on Earth, the gNB is as simple to maintain as in terrestrial networks. In the regenerative architecture, the satellite carries either the full gNB or a part of the gNB on board. The advantage of the regenerative architecture is that the delays between the gNB and the user equipment (UE) is shortened compared to the transparent architecture (at least at the lower communication layers). This can lead to better system and network performance by avoiding hybrid automatic repeat request (HARQ) stalling and shorter delays for channel quality feedback.

 

In this project the performance of TCP should be studied and optimized. Some initial questions are:


- What is the performance difference between transparent and regenerative architecture?


- What TCP variants are performing best in a 5G NTN system?


- What is the impact of L1 BLER?


- What is the impact of different handover/mobility variants? E.g. conditional handover vs legacy handover


- What are the optimal TCP/RLC/L1 settings for short and longer transmissions?


- What are the alternatives to TCP, e.g. transport protocols developed for long-delay space communication

 

Inici September 1st 2023
Durada ~10 months
Nombre de places

 1 - 2

Requisits

understanding of mobile communications, understanding of higher layer protocols like TCP, programming skills (matlab / c / c++)

Compensació TBD
Localització

Aalborg, Denmark. Students will be in the Nokia office.

Data de publicació

maig 2023

 

 

Empresa Nokia                                                                                                 
Projecte:

Study of cellular connectivity for Urban Air Mobility

Codi:

 Dk Nokia_3

Estudis

Master

Tipus d'estada:

 Internship

Descripció

Project

Cellular 4G/5G connectivity for Unmanned Aerial Vehicles (UAV) or Aerial Vehicles (AV), a.k.a. as drones, has been extensively studied in the research and standardization communities. These studies addressed radio connectivity and system performance for AV scenarios with flight up to 120m in various network deployment scenarios.


Recently a new type of use case has emerged, known as Urban Air Mobility (UAM). In these, larger sized AV are used as ‘air-taxis’ i.e., for the purpose of time-critical transport of people or goods between different points in an urban community. The key differences compared to the previously investigated AV scenarios are the higher-flying heights up to 1000 m, higher speeds, and the need to provide reliable cellular connectivity not only for the remote control of the AV but also for the potential on-board applications or mobile phones of the passengers. Due to these new requirements the 5G cellular network providing the services for UAM must be specifically optimized.


The project has the following objectives:


• Identify the radio network deployment characteristics and parameters which have impact on the cellular connectivity in selected UAM scenarios


• Investigate the network optimizations needed to support UAM


• Evaluate the cellular connectivity performance (coverage, throughput, mobility) for the UAM non/optimized network deployments

 

Inici September 1st 2023
Durada ~10 months
Nombre de places

 1 - 2

Requisits

Matlab (Nokia enterprise license), understanding of propagation models, understanding of LTE/NR system level KPIs (latency, capacity, mobility), optionally knowledge about UAV/drone (3GPP, U-SPACE, GSMA, etc.)

Compensació TBD
Localització

Aalborg, Denmark. Students will be in the Nokia office.

Data de publicació

 maig 2023