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Ofertes per marxar el quadrimestre de tardor de 2018

A continuació trobareu un llistat d'empreses i institucions que ofereixen projectes a l'ETSETB i que gestiona l'escola, orientades per marxar el quadrimestre de tardor de 2018. Quan demaneu una plaça a través del correu electrònic students.mobility@etsetb.upc.edu, ho haureu de fer en referència al codi que surt a la taula.

França

Center for the Study of the Biosphere from Space (CESBIO), Toulouse

 

Institut de recercaCenter for the Study of the Biosphere from Space (CESBIO)
Projecte

Classification of multi-source satellite images for large scale land cover mapping

Codi F CESBIOToul_1-A_18
Estudis Master student
Tipus d'estada TFM
Descripció

Subject:

Satellite remote sensing imagery represents an attractive data source to monitor large regions with frequent updates. In this context, the operational production of accurate land cover maps plays an important role in global-scale environmental assessments and becomes crucial for a wide range of research domains. New earth observation missions such as Sentinel provide images with high spatial and temporal resolution. Accordingly, new image classification methods for the generation of reliable land cover maps are needed.


 

Hosting Laboratory:
The CESBIO laboratory (Centre d'Etudes Spatiales de la BIOsphère) in Toulouse, France. CESBIO aims to develop knowledge on continental biosphere dynamics and functioning at various temporal and spatial scales. The Cesbio is a fourth partnership laboratory: 1) CNES (the French Space Agency), 2) CNRS (National Center Scientific Research), 3) UPS (Paul Sabatier University), and 4) IRD (Institute of Research for Development).

Inici From Summer / Fall 2018
Durada 6 months
Nombre de places 1 (maybe 2, it depends on the CV of the candidates)
Requisits The candidate must have a strong background in either Signal and Image Processing, Computer Vision, good communication skills, and good programming expertise (C++ preferentially).
Compensació A compensation will be given (around 500 euros/month)
Localització 31400 Toulouse, France
Data de publicació 4/10/2017

 

iWE internships positions, Sophia Antipolis

 

EpresaiWE
Projecte

Video chat client in iWE

Codi F iWESoph_1-A_18
Estudis Master student
Tipus d'estada Internship
Descripció

Context:

iWE is a fast growing start-up specialized in building Advanced Case management (ACM) collaborative platform in the Cloud, enabling new kind of Business Applications and working mainly in the Insurance sector.
We are currently seeking several internship candidates (Data Science, Web) who are stimulated by the opportunity to be a part of a fast growing development lab located in Sophia-Antipolis, with an unique mix of world class software development practices and cutting-edge technologies: ReactJS, AngularJS, Node.js, MongoDB

 

Project:

As an ACM collaborative platform, one of iWE’s most important strengths are their collaborative features, allowing to speed up the claim management process and improve user experience. A Video Chat client is key feature for the improvement of this user experience and reduce delays.

 

Internship objectives:

  • Study and understand Twilio APIs and analyse how to use them in iWE to provide private and group chat, video support, presence and typing detection.
  • Implement a Proof-of-Concept video chat client in iWE.
  • Study how to detect user presence and availability to optimally route video calls.
  • Implement a Video Chat client allowing to route video calls automatically using presence detection.
Inici July 2018
Durada 6 months
Nombre de places 1
Requisits Autonomous, curiousness, motivation and passion for coding
Compensació 1300-1500 €/month according to candidate profile
Localització Our development lab located in Sophia Antipolis. 950 Route des Colles, 06410 Biot. France
Data de publicació 15/11/2017

 

EpresaiWE
Projecte

Data Analytics & Data Aggregation Dashboard.

Codi F iWESoph_2-A_18
Estudis Master student
Tipus d'estada Internship
Descripció

Context:

iWE is a fast growing start-up specialized in building Advanced Case management (ACM) collaborative platform in the Cloud, enabling new kind of Business Applications and working mainly in the Insurance sector.
We are currently seeking several internship candidates (Data Science, Web) who are stimulated by the opportunity to be a part of a fast growing development lab located in Sophia-Antipolis, with an unique mix of world class software development practices and cutting-edge technologies: ReactJS, AngularJS, Node.js, MongoDB

 

Project:

iWE, as an Advance Claim Management platform, handles a lot of data. Clients using iWE expect the platform to produce indicators allowing them to monitor and pilot their business activity. The purpose of this internship will be to analyze and extract these indicators from production data and make them available to be processed by reporting tools. The scope also covers the implementation of a Data Aggregation Dashboard for indicator visualization, trend detection, business performance data extraction, etc.

 

Internship objectives:

  • Understand analytics requirements of the iWE platform.
  • Study implementation alternatives for working with generic data.
  • Produce a working prototype of producing indicators from production data.
  • Research about different possibilities both in open-source community or commercial solutions for Business Intelligence (BI) tools implementations.
  • Study how to implement a BI Data Aggregation Dashboard in iWE, evaluating commercial options and implementation alternatives.
  • Study, design and implement a Proof-of-Concept of the Data Aggregation Dashboard in iWE using commercial options or implementing our own tools.

 

Technologies/Challenges:

  • Data processing languages.
  • Databases.
  • Big data.
  • Data modelling.
  • MongoDB aggregation framework.
  • Bussiness Intelligence Dashboard tools.
Inici July 2018
Durada 6 months
Nombre de places 1
Requisits Statistics, data visualization, multi-dimensional analysis, understanding of database/data processing concepts, abstraction capacities, coding in multiple languages, SQL, autonomous and passionate in programming.
Compensació 1300-1500 €/month according to candidate profile
Localització Our development lab located in Sophia Antipolis. 950 Route des Colles, 06410 Biot. France
Data de publicació 15/11/2017

 

EpresaiWE
Projecte

ChatBot

Codi F iWESoph_3-A_18
Estudis Master student
Tipus d'estada Internship
Descripció

Context:

iWE is a fast growing start-up specialized in building Advanced Case management (ACM) collaborative platform in the Cloud, enabling new kind of Business Applications and working mainly in the Insurance sector.
We are currently seeking several internship candidates (Data Science, Web) who are stimulated by the opportunity to be a part of a fast growing development lab located in Sophia-Antipolis, with an unique mix of world class software development practices and cutting-edge technologies: ReactJS, AngularJS, Node.js, MongoDB

 

Project:

Investigate and prototype how to implement a ChatBot to ease communication between the general public users and the platform. This ChatBot would allow to enhance the user experience and would automate some repetitive tasks:

  • Case declaration survey.
  • Case status information.
  • Simple updates (meeting updates, etc).

 

Internship objectives:

  • Research about different possibilities both in open-source community or commercial solutions for ChatBot implementations and APIs.
  • Study and design how to plug a ChatBot in iWE and evaluate what are the most interesting actions to replace by the ChatBot.
  • Implement a Proof-of-Concept of a ChatBot in iWE.

 

Technologies/Challenges:

  • Machine learning
  • Natural language
  • ChatBot technologies
Inici July 2018
Durada 6 months
Nombre de places 1
Requisits Passion for coding, autonomous, understanding of machine learning principles and conversational agents
Compensació 1300-1500 €/month according to candidate profile
Localització Our development lab located in Sophia Antipolis. 950 Route des Colles, 06410 Biot. France
Data de publicació 15/11/2017

 

Austria

AIT–AUSTRIAN INSTITUTE OF TECHNOLOGY, Viena

 

EmpresaAIT–AUSTRIAN INSTITUTE OF TECHNOLOGY
Projecte

V2X Geometry-based Stochastic Channel Model (GSCM) Creation and Validation

Codi A AITWien_5-A_18
Estudis Màster
Tipus d'estada TFM
Descripció

Context

AIT is Austria's largest Research and Technology Organisation and an international player in the research areas that we cover.This makes us a leading development partner for industry and a top employer in the scientific community.Their Center for Digital Safety & Security is seeking to hire a new Ingenous Partner for their location in Vienna. Applications are invited for a:


Master Thesis "V2X Geometry-based Stochastic Channel Model (GSCM) Creation and Validation"


Description:
- You will create a geometry-based stochastic channel model in MATLAB that will reproduce by simulation the channel impulse responses observed in real-world vehicular radio channels.

- You will perform a literature research on radio channel modelling techniques currently used for vehicular communication.

- You will identifythe relevant parameters to be included in a GSCM based on available measurement data.

- You will implemented and extend the current GSCM based on the parametrized data.

- You will validate the channel model using meaningful metrics (e.g. Delay Spread and Doppler Spread)

Inici ASAP
Durada 6 months
Nombre de places 1
Localització AIT, Austrian Institute of Technology
Donau­‐City­‐Straße 1, 1220 Vienna-­Austria
Requisits

- Academic studies of electrical engineering, telecommunication engineering, computer science or similar

- Solid know-how in digital signal processing, the description of linear systems and modulation forms

- Good knowledge in of MATLAB, desirable C/C++

- Ability to integrate in a multinational research team

- Very good knowledge of either German or English (fluent in spoken and written)

Compensació EUR 697,69 gross per month for 20 hours/week based on the collective agreement (Forschungs-­‐KV)
Data de publicació 1/02/2018

 

EmpresaAIT–AUSTRIAN INSTITUTE OF TECHNOLOGY
Projecte

High Speed Ray-Tracing on Graphic Cards

Codi A AITWien_6-A_18
Estudis Màster
Tipus d'estada TFM
Descripció

 

Context

AIT is Austria's largest Research and Technology Organisation and an international player in the research areas that we cover.This makes us a leading development partner for industry and a top employer in the scientific community.Their Center for Digital Safety & Security is seeking to hire a new Ingenous Partner for their location in Vienna. Applications are invited for a:


Master Thesis "High Speed Ray-Tracing on Graphic Cards"


Ray tracing is an important tool for 5G channel modelling for both mm-Wave high bitrate links as well as ultra-reliable low-latency communications (URLLC). The accuracy of ray tracing comes at high computational complexity


Description:
- You use modern GPU techniques to achieve a fast implementation.

- You translate the MATLAB code of an existing ray-tracing tool into a GPU, C or C++ environment in order to significantly reduce the simulation time.

- You validate the implementation by comparison with measurements of real-world radio propagation channels

 

 

Inici ASAP
Durada 6 months
Nombre de places 1
Localització AIT, Austrian Institute of Technology
Donau­‐City­‐Straße 1, 1220 Vienna-­Austria
Requisits

- Academic studies of electrical engineering, telecommunication engineering, computer science or similar

- Excellent know-how in digital signal processing, wireless radio channels and propagation mechanisms

- Good knowledge and experience with GPU programming, C or C++

- Very good knowledge of either German or English (fluent in spoken and written)
Compensació EUR 697,69 gross per month for 20 hours/week based on the collective agreement (Forschungs-­‐KV)
Data de publicació

1/02/2018

 

Empresa

AIT–AUSTRIAN INSTITUTE OF TECHNOLOGY

Projecte

Efficient Implementation of a Ray-Tracing Tool

Codi A AITWien_7-A_18
Estudis Màster
Tipus d'estada TFM
Descripció

Context

AIT is Austria's largest Research and Technology Organisation and an international player in the research areas that we cover.This makes us a leading development partner for industry and a top employer in the scientific community.Their Center for Digital Safety & Security is seeking to hire a new Ingenous Partner for their location in Vienna. Applications are invited for a:


Master Thesis "Efficient Implementation of a Ray-Tracing Tool"


Ray tracing is an important tool for 5G channel modelling for both mm-Wave high bitrate links as well as ultra-reliable low-latency communications (URLLC). In this master thesis the student will work on the AIT ray tracing tool adding new important features.


Description:
- Reduction of the computational complexity and simulation time needed for the construction of the reflection image-tree (e.g. inspired by techniques used in video game industry) without degradation of the prediction accuracy

- Improvement of the prediction accuracy of an existing ray-tracing simulation tool by including radio propagation mechanisms not yet included, e.g. multiple diffraction mechanisms

- Literature research on efficient image-tree construction and iterative multiple diffraction implementation in order to identify already existing solutions

- Validation of the implementation by comparison with measurements of real-world radio propagation channels

 

Inici ASAP
Durada 6 months
Nombre de places 1
Localització AIT, Austrian Institute of Technology
Donau­‐City­‐Straße 1, 1220 Vienna-­Austria
Requisits

- Academic studies of electrical engineering, telecommunication engineering, computer science or similar

- Excellent know-how in digital signal processing, wireless radio channels and propagation mechanisms

- Good knowledge and experience with MATLAB

- Very good knowledge of either German or English (fluent in spoken and written)
Compensació EUR 697,69 gross per month for 20 hours/week based on the collective agreement (Forschungs-­‐KV)
Data de publicació 1/02/2018

 

EmpresaAIT–AUSTRIAN INSTITUTE OF TECHNOLOGY
Projecte

Channel emulator based performance assessment of wireless communication systems

Codi A AITWien_8-A_18
Estudis Màster
Tipus d'estada TFM
Descripció

 

Context

AIT is Austria's largest Research and Technology Organisation and an international player in the research areas that we cover.This makes them a leading development partner for industry and a top employer in the scientific community.Their Center for Digital Safety & Security is seeking to hire a new Ingenous Partner for their location in Vienna. Applications are invited for a:


Channel emulator based performance assessment of wireless communication systems


Description:

- Desing an easy to use interface for stochastic channel models

 

- Design a work flow for the performance assessment of wireless communication systems

  • Path loss variation over time
  • Velocity variation over time

- Visualization of the current state of the channel emulator

Inici September 2018
Durada 6 months
Nombre de places 1
Localització AIT, Austrian Institute of Technology
Donau­‐City­‐Straße 1, 1220 Vienna-­Austria
Requisits

- Academic studies of electrical engineering, telecommunication engineering, computer science or similar

- Solid know-how in digital signal processing

- Good knowledge of MATLAB, desirable LabView

- Very good knowledge of either German or English (fluent in spoken and written)

- Ability to integrate in a multinational research team

Compensació EUR 697,69 gross per month for 20 hours/week based on the collective agreement (Forschungs-­‐KV)
Data de publicació

18/05/2018

&nspb;

USA

Bell Laboratories (Alcatel-Lucent), New Jersey

 

Institut de recercaBell Laboratories (Alcatel-Lucent), New Jersey, USA
Projecte

High Capacity Fiber-Optic Transmission Systems

Codi USA NokiaNJ_1-A_18
Estudis Bachelor or Master Students
Tipus d'estada TFG/TFM
Descripció

Context:

Bell Labs has helped weave the technological fabric of modern society. Since its founding in 1925, technology from Bell Labs has shaped the ways people live, work and play. Over the past 80 years, the Bell Labs R&D community has made seminal scientific discoveries, created powerful new technologies, and built the world's most advanced and reliable networks.


 

Project:
In 2010 the theoretical capacity limit of a single-mode fiber was found. The forecasted demand of data traffic will exhaust the capacity of the installed fiber plant by 2020. New fiber-optic designs are required in order to guarantee an efficient and sustainable increase in terms of cost and energy consumption for the following 30 years. Spatial division multiplexing in its two flavors, multi-mode and multi-core fibers, has become the new research paradigm. The scope of the project is to investigate on advanced transmission and detection techniques to exploit the capacity of the new optical fiber.

Inici February 2018 - February 2019
Durada 6-12 months (12 months preferable)
Nombre de places 1
Requisits Excellent academic records, good English knowledge, fiber-optic communications, digital communications, signal processing, VHDL programming, Matlab programming.
Compensació Indicative economic compensation of 1350 $/month (subject to student’s performance).
Localització 791 Holmdel-Keyport Rd., Holmdel, NJ 07733, USA
Data de publicació 25/10/2017

Dinamarca

Aalborg University in collaboration with Nokia-Bell Labs, Aalborg

 

Institut de recercaAalborg University and Bell Laboratories, Aalborg - Denmark
Projecte

On detection of aerial vehicles

Codi DK AU-Nokia Aalborg_1-A_18
Estudis Master Students
Tipus d'estada TFM
Descripció

Context:

In recent years, an impressive growth on UAVs’ (Unmanned Aerial Vehicles), also referred to as drones, market has been observed. This increase and the steady technological development of these devices are expected to enable a large number of new applications. It represents a market opportunity for cellular operators: UAVs will require data link connections, either for telemetry, command and control exchanges and potentially for realtime applications. In the first example, the data link must be highly reliable due to safety concerns, in the latter it can demand high capacity, e.g. for real-time footage streaming.

 

Project:
Cellular networks have been optimized for users on the ground, leading to antennas being downtilted and optimised power control and mobility settings for ground usage. Aerial vehicles connected over cellular networks see the network differently. Even though downtilted antennas are used, coverage up to 120 m is typically better than on the ground, leading to a better reception of the desired signal, but also to better reception of the interfering signals. An aerial vehicle typically sees many more (interfering) cells than a user on the ground, further increasing the interference, but also impacting mobility performance.


All this leads quite easily to the conclusion to the optimal settings for ground users are not necessarily the optimal settings for aerial vehicles. In order to differentiate we however need to know when a UE is airborne and when a UE is on the ground. This differentiation is the topic of this study and will include:


- Design of detection and classification algorithms based on standard radio measurements, like RSRP, RSRQ to detect airborne users


- Considerations and impact of different environments (urban, rural), frequencies and setups on the
classification algorithms


- Test of algorithm against measurement and simulation data which is available. Potentially testing real-life on drones


- Design of architectural impacts of measurement exchange required and design of optimal detection scheme for 5G

Inici September 2018 or earlier
Durada

8-12 months

(the project proposal is offered in collaboration with Nokia-Bell Labs and it is expected that the work can involve tasks that are not directly relevant for the project).

Nombre de places 2
Requisits Matlab, strong background in wireless communication
Compensació 400 Euros per month (the project proposal is offered in collaboration with Nokia-Bell
Labs)
Localització Localització
Data de publicació 5/12/2017
Institut de recercaAalborg University and Bell Laboratories, Aalborg - Denmark
Projecte

Indoor Connectivity for UAVs

Codi DK AU-Nokia Aalborg_2-A_18
Estudis Master Students
Tipus d'estada TFM
Descripció

Subject:


UAVS have mainly been considered to fly in the open air, but there are also indoor use cases for UAV, like improving logistics in a factory, quality control and surveillance. This requires ultra-reliable communication for drones.

 

Topic of this stay is to look at ways to the provide these ultra-reliable communications, focussing on air interface. Issues to be considered: number of cells, antennas, frequencies and multi connectivity.

Inici September 2018
Durada

8 months

(the project proposal is offered in collaboration with Nokia-Bell Labs and it is expected that the work can involve tasks that are not directly relevant for the project).

Nombre de places 2
Requisits
Compensació 400 Euros per month (the project proposal is offered in collaboration with Nokia-Bell
Labs)
Localització Localització
Data de publicació 5/12/2017

Alemanya

DLR - German Aerospace Center, Oberpfaffenhofen

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

Development of an optical ranging system

Codi D DLROber_1-A_18
Estudis Master Student
Tipus d'estada Internship / Master Thesis
Descripció

Introduction:


The optical communication group of DLR’s Institute of Communications and Navigation develop experimental laser communication systems for optical data links between airborne carriers such as airplanes or satellites and optical ground stations. The system development covers several disciplines such as optics, mechanics, electronics and programming. The successful applicant will support our team in the development of optical and optomechanical systems. Furthermore he/she will perform system tests and possibly will support the team during scientific measurement campaigns. It is an excellent opportunity to work in a cutting edge topic, gain experience on real optical hardware, and improve your engineering skills.


The subject offers several internship and Master Thesis topics like:


- Simulation and analysis of receiver schemes for optical ranging
- Receiver hardware and software design
- Distortion and channel analysis of the system and further development of post processing units with respect to the scenario requirements
- Design, implementation, verification and performance analysis of algorithms for the optical ranging
- Evaluation of measurements and analysis of the results in relation with the expected performance

Inici ASAP
Durada 6 months
Nombre de places 1
Requisits - Study direction of optical, electrical engineering or communications
- Experience with signal processing
- Programming in Matlab / Simulink
- Experience with electrical / optical measurement technology
Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació Data de publicació

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

Development of an optical ranging system

Codi D DLROber_2-A_18
Estudis Master Student
Tipus d'estada Internship / Master Thesis
Descripció

Introduction:


The optical communication group of DLR’s Institute of Communications and Navigation develop experimental laser communication systems for optical data links between airborne carriers such as airplanes or satellites and optical ground stations. The system development covers several disciplines such as optics, mechanics, electronics and programming. The successful applicant will support our team in the development of optical and optomechanical systems. Furthermore he/she will perform system tests and possibly will support the team during scientific measurement campaigns. It is an excellent opportunity to work in a cutting edge topic, gain experience on real optical hardware, and improve your engineering skills.


The subject offers several internship and Master Thesis topics like:


- Operation and analysis of adaptive optics systems for optical free space communication

- Design of adaptive optics control software

- Use of novel control schemes for adaptive optics in communication

Inici ASAP
Durada

6 month

Nombre de places 1
Requisits

- Study direction of control engineering

- Understanding of basic control theory

- Experience of programming in Python, Matlab or C

Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació 5/12/2017

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

Development of an optical ranging system

Codi D DLROber_3-A_18
Estudis Master Student
Tipus d'estada Internship / Master Thesis
Descripció

Introduction:


The optical communication group of DLR’s Institute of Communications and Navigation develop experimental laser communication systems for optical data links between airborne carriers such as airplanes or satellites and optical ground stations. The system development covers several disciplines such as optics, mechanics, electronics and programming. The successful applicant will support our team in the development of optical and optomechanical systems. Furthermore he/she will perform system tests and possibly will support the team during scientific measurement campaigns. It is an excellent opportunity to work in a cutting edge topic, gain experience on real optical hardware, and improve your engineering skills.


The subject offers several internship and Master Thesis topics like:


- Electronics design for mechatronics of the optical terminal

- Firmware and control design

- Measurement of external mechanical disturbances such as vibration or temperature drift in the optical terminal and development of potential compensation measures

- Integration of electronics, mechanics and optics

Inici ASAP
Durada 6 month
Nombre de places 1
Requisits

- Study direction of electrical engineering

- Practical experience with hardware development

- Usage of electronics CAD software (e.g. Altium)

- Programming of 32bit micro controllers in C

Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació 5/12/2017

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

Optical system design and test of free-space optical communications

Codi D DLROber_4-A_18
Estudis Master Student
Tipus d'estada Internship / Master Thesis
Descripció

Introduction:


The optical communication group of DLR’s Institute of Communications and Navigation develop experimental laser communication systems for optical data links between airborne carriers such as airplanes or satellites and optical ground stations. The system development covers several disciplines such as optics, mechanics, electronics and programming. The successful applicant will support our team in the development of optical and optomechanical systems. Furthermore he/she will perform system tests and possibly will support the team during scientific measurement campaigns. It is an excellent opportunity to work in a cutting edge topic, gain experience on real optical hardware, and improve your engineering skills.


The subject offers several internship and Master Thesis topics like:


- Optical system design, assembly and test
- Optical system design in dedicated SW (e.g. Zemax)
- Development of performance testing routines of optical subsystems
- Programming of Matlab / Python Scripts and GUIs


Inici ASAP
Durada 6 month
Nombre de places 1
Requisits - Study direction of optical, electrical or physical engineering or scientific instrumentation
- Experience in optical system design is a plus
- Experience with electrical / optical measurement technology
- Interest in free-space optics
Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació 5/12/2017

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

Digital Coherent Transmission for free-space optical links

Codi D DLROber_5-A_18
Estudis Master Student
Tipus d'estada Internship / Master Thesis
Descripció

Introduction:


The optical communication group of DLR’s Institute of Communications and Navigation develop experimental laser communication systems for optical data links between airborne carriers such as airplanes or satellites and optical ground stations. The system development covers several disciplines such as optics, mechanics, electronics and programming. The successful applicant will support our team in the development of optical and optomechanical systems. Furthermore he/she will perform system tests and possibly will support the team during scientific measurement campaigns. It is an excellent opportunity to work in a cutting edge topic, gain experience on real optical hardware, and improve your engineering skills.


The subject offers several internship and Master Thesis topics like:


- Signal and channel analysis of the system and further development of post processing units with respect to the free-space scenario requirements
- Design, implementation, verification and performance analysis of coherent transmission schemes
- Measurements in realistic scenarios are expected.
- Evaluation of measurements and analysis of the results in relation with the expected performance
Inici ASAP
Durada 6 month
Nombre de places 1
Requisits - Study direction of optical, electrical engineering or communications
- Experience with digital signal processing
- Programming in Matlab / Simulink
- Experience with electrical / optical measurement technology
- Interest in free-space optics
- Programming in VHDL
Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació 5/12/2017

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

MEC in integrated satellite-5G network

Codi D DLROber_6-A_18
Estudis Master Student
Tipus d'estada Diploma Work / Master Work
Descripció

Context:


The German Aerospace Center (DLR) is Germany´s national research center for aeronautics and space and Germany´s space agency. Its extensive research and development work in Aeronautics, Space, Transportation and Energy is integrated into national and international cooperative ventures. Approximately 5,500 people are employed in DLR´s 28 institutes and facilities at eight locations in Germany.


Given the increasing interest towards convergence of 5G and satellite in suitable use-cases, i.e., for under/unserved areas or high mobile systems, the problam of expedited and reliable content delivery is of utmost importance. The challenge is in the different characteristics of the two media and the mobility of the networks (users) that can make the network point of access obsolete or the content available in caches no more updated, available or even requested.


Tasks:


The main activity will consist in surveying the activities done so far in the context of MEC for satellite networks as well as overall caching solutions for terrestrial network. Then a suitable caching strategy based on ICN architectures and the related naming appriach will have to be designed and validated through simulations.

Inici March 2018
Durada 6-8 month
Nombre de places 1
Requisits - Basic knoweledge of SatCom and LTE/4G systems.
- Knolwdge of networking protocol and architectures
- Software skills: matlab, C/C++.
- Knowledge of NS-2/3 is a plus
Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació 5/12/2017

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

Design and Analysis of Advanced Medium Access for Machine-to-Machine Applications

Codi D DLROber_7-A_18
Estudis Master Student
Tipus d'estada Diploma Work / Master Work
Descripció

Context:


The German Aerospace Center (DLR) is Germany´s national research center for aeronautics and space and Germany´s space agency. Its extensive research and development work in Aeronautics, Space, Transportation and Energy is integrated into national and international cooperative ventures. Approximately 5,500 people are employed in DLR´s 28 institutes and facilities at eight locations in Germany.

 


Tasks:


With the increasing interest in machine-type of communications for the future 5G network, new challenges will arise. The sporadic transmissions of small packets from a large population that is intermittently active, is a new paradigm that requires the design of novel communication techniques. Standard solutions for the sharing of the medium are human-centric and do not necessarily provide the required flexibility and efficiency for this new kind of data traffic.
In this context, random access protocols arise as promising solutions for this specific traffic type. In the recent past, the classic schemes as ALOHA and Slotted ALOHA has been replaced by advanced protocols relying on advanced signal processing techniques as successive interference cancellation.
The design of such medium access protocols heavily relies on the underlying physical layer. Typical abstractions, as the collision channel model, are not anymore sufficient to capture the behavior and the benefits of these new random access schemes.
In this context, the thesis has the aim to analyse the performance of novel advanced random access protocols with realistic and detailed physical layer. The candidate shall implement, in C or C++, a full medium access layer and physical layer including all relevant effects.

Inici ASAP
Durada 6-8 month
Nombre de places 1
Requisits The ideal candidate shall be familiar with:
- Medium Access and specifically random access protocols as ALOHA and Slotted ALOHA, as a minimum;
- Physical layer techniques as successive interference cancellation;
- Channel coding;
- Relevant digital communication blocks for emulating a physical layer;
The ideal candidate shall be enthusiastic of:
- Working in an international environment;
- Program software in C and C++ languages;
Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació 5/12/2017

 

Institut de recercaDLR - Institute of Communications and Navigation, Optical Communications Group
Projecte

Resource management in integrated satellite-5G network through network slicing

Codi D DLROber_8-A_18
Estudis Master Student
Tipus d'estada Diploma Work / Master Work
Descripció

Context:


The German Aerospace Center (DLR) is Germany´s national research center for aeronautics and space and Germany´s space agency. Its extensive research and development work in Aeronautics, Space, Transportation and Energy is integrated into national and international cooperative ventures. Approximately 5,500 people are employed in DLR´s 28 institutes and facilities at eight locations in Germany.

 

Given the increasing interest towards convergence of 5G and satellite in suitable use-cases, i.e., for under/unserved areas or high mobile systems, the problam of resource allocation assumes particular importance. The challenge is in the different characteristics of the two media and the network slining approach applied to provide different virtual channels to application with different guarantee of QoS.


Tasks:


The main activity will consist in surveying the activities done so far in the context of NFV and network slicing for satellite networks as well as overall network orchestration. Then a suitable resource management approach will have to be designed and validated through simulations.
Inici March 2018
Durada 6-8 month
Nombre de places 1
Requisits - Basic knoweledge of SatCom and LTE/4G systems.
- Software skills: matlab, C/C++.
- Knowledge of NS-2/3 is a plus
Compensació
Localització Oberpfaffenhofen - DEUTSCHLAND
Data de publicació 5/12/2017

 

SONY Stuttgart Technology Center (STC), Stuttgart

 

EmpresaSONY Stuttgart Technology Center (STC)
Projecte

Internship/master thesis on Audio Signal Processing

Codi D SONYStuttg_1-A_18
Estudis Bachelor for internships, Master student for Master's thesis
Tipus d'estada TFM
Descripció

Context:

The Stuttgart Technology Center is the largest Sony Research Center outside of Japan and it is where innovations and future generations of products are being developed to meet the requirements and needs of the worldwide markets and customers.


Subject:

1) Audio Source Separation, 2) Sound Development for Playstation


 

Hosting Laboratory:
1) Separate an audio signal into several sources (e.g. voices, instruments, background) using their spectral properties; 2) Investigation of new strategies for an improved listening experience for existing content.

Inici Summer/Fall 2018
Durada Duration of the stay (Bachelor around 5 months of work), (Internship involves 5 months), (Master thesis involves around 6 months, potentially up to 12 months if combined with Internship): At least 6 months.
Nombre de places Several
Requisits Good mathematical and machine learning skills, solid signal processing background.
Compensació 1000E/month (gross)
Localització SONY STC, Hedelfingerstraße 61, 70327 Stuttgart, Germany
Data de publicació 4/10/2017

 

EmpresaSONY Stuttgart Technology Center (STC)
Projecte

Internship/masters thesis on Machine and Deep Learning

Codi D SONYStuttg_2-A_18
Estudis Bachelor for internships, Master student for Master's thesis
Tipus d'estada TFM
Descripció

Context:

The Stuttgart Technology Center is the largest Sony Research Center outside of Japan and it is where innovations and future generations of products are being developed to meet the requirements and needs of the worldwide markets and customers.


Subject:

1) Network morphism, 2) Automatic Speech Recognition, 3) Compressed Sensing, Scene Classification


 

Hosting Laboratory:
1) Finding profile representations using combined sensor data; 2) Modifying an already trained Deep Neural Network into a new one, preserving its functionality and accuracy; 3) Compressed Sensing Deep Neural Networks.

Inici Summer/Fall 2018
Durada Duration of the stay (Bachelor around 5 months of work), (Internship involves 5 months), (Master thesis involves around 6 months, potentially up to 12 months if combined with Internship): At least 6 months.
Nombre de places Several
Requisits Good mathematical and machine learning skills.
Compensació 1000E/month (gross)
Localització AIT, Austrian Institute of Technology
Donau-­‐City-­‐Straße 1, 1220 Vienna-­Austria
Localització SONY STC, Hedelfingerstraße 61, 70327 Stuttgart, Germany
Data de publicació 4/10/2017

 

 

EmpresaSONY Stuttgart Technology Center (STC)
Projecte

Internship/masters thesis on Text Analysis and Understanding / Natural Language Processing

Codi D SONYStuttg_3-A_18
Estudis Bachelor for internships, Master student for Master's thesis
Tipus d'estada TFM
Descripció

Context:

The Stuttgart Technology Center is the largest Sony Research Center outside of Japan and it is where innovations and future generations of products are being developed to meet the requirements and needs of the worldwide markets and customers.


Subject:

1) Entity Topic Detection, 2) Named Entity Linking, 3) Sentiment Analysis


 

Hosting Laboratory:
1) Finding the most important entities of interest or targets in a document, paragraph or sentence; 2) Disambiguating the entities in natural language text by linking them to their specific entries in a knowledge base; 3) Develop a system that, given a product review, detects the sentiments contained in it and the associated targets that are referred to, using machine learning and NLP techniques.

Inici Summer/Fall 2018
Durada Duration of the stay (Bachelor around 5 months of work), (Internship involves 5 months), (Master thesis involves around 6 months, potentially up to 12 months if combined with Internship): At least 6 months.
Nombre de places Several
Requisits Good mathematical and machine learning skills
Compensació 1000E/month (gross)
Localització SONY STC, Hedelfingerstraße 61, 70327 Stuttgart, Germany
Data de publicació 4/10/2017

 

 

German Research Center for Artificial Intelligence (DFKI)

Institut de recercaGerman Research Center for Artificial Intelligence (DFKI)
Projecte

Deep Learning for Video Analytics

Codi D DFKIKaiser-A_18
Estudis Master student
Tipus d'estada ...
Descripció

Context:

The German Research Center for Artificial Intelligence, with sites in Kaiserslautern, Saarbrücken, Bremen (with an associated branch in Osnabrück) and a project office in Berlin, is the leading German research institute in the field of innovative software technology. In the international scientific community, DFKI ranks among the most recognized "Centers of Excellence" and currently is the biggest research center worldwide in the area of Artificial Intelligence and its application in terms of number of employees and the volume of external funds.


Subject:

Machine learning, Computer Vision, Natural Language Processing


 

Project Description:
This is a research offer where the student will extend the state of the art in a topic related to video analysis using deep learning. The task will involve becoming familiar with the recent literature on the subject, formulate a research question and develop the necessary software and experiments to solve it. It is expected that the outcome of the research will be a scientific publication and a software released under a free license.

Inici September 1, 2018
Durada 11 months (negotiable)
Nombre de places 1
Requisits Previous experience in deep learning
Compensació ...
Localització Kaiserlautern, Germany
Data de publicació 10/01/2018

 

 

Max Planck Institute for Informatics

Institut de recercaMax Planck Institute for Informatics
Projecte

Capturing and Modelling Digital Humans from Visual Data

(Computer Vision, Deep Learning, Machine Learning, Computer Graphics)

Codi D MPISaarbrücken_1-A_18
Estudis Master students only or exceptional Bachelor students
Tipus d'estada
Descripció

Context:

The top research institution in Germany. MPI research is at the highest level and results are published at top conferences and journals. In our field the group regularly publishes at CVPR, SIGGRAPH, ICCV, Eurographics and PAMI, IJCV. MPI-Saarbrücken is widely recognized internationally as one of the worlds best institutions in computer vision and computer graphics


Subject:

Computer Vision, Computer Graphics and Machine Learning


Project Description:
Analyzing and modeling people from all sorts of sensor data: IMUs, 3D/4D scans, RGBD, images or video. Current computer vision algorithms can detect people in images or estimate 2D pose to a remarkable accuracy. However, people are much more complex. Humans perceive lots of information from other humans; for example we sense other people's emotional state based on facial expressions and body movements, or we make guesses about people's preferences based on what clothing they wear. In order for machines to interact with humans they have to both perceive all this information from sensory data and they have to "appear" human to us. Research topics revolve around perceiving and building digital generative models of people from real people.

In particular research topics are:

· Analyzing people in images

· Human body shape, clothing and motion modeling using deep learning
· Deep learning
· Generative models of people
· Human motion capture and performance capture (3D/4D reconstruction)

· Mesh registration


1) Max Planck Institue for Informatics:
2) Research projects website:


Inici ASAP
Durada 6 - 12 months
Nombre de places 2
Requisits Some of the following:
  • Strong mathematical background
  • Strong programming skills one of (C++, Python, matlab)
  • Experience working with 3D meshes and knowledge on 3D tools is desired but a not must (e.g. OpenGL)
  • Knowledge/experience in deep learning
Compensació
Localització Saarbrücken, Germany
Data de publicació 1/02/2018