28.01.2015

Geographical focus of sports goods retailers´ CSR activities

Doing Good at the Right Place: The Geographical Focus of Sports Goods Retailers’ Corporate Social Responsibility Activities

Are you interested in international sport management? The Department of Sport & Health Management offers students who will be graduating from the TUM Faculty of Sports and Health Science or the TUM School of Management the possibility for interdisciplinary research (i.e., write a bachelor or master thesis). The topic is: "Doing Good at the Right Place: The Geographical Focus of Sports Goods Retailers’ Corporate Social Responsibility Activities."
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Kontakt: info.mgt@sg.tum.de

28.01.2015

Geographical focus of sport teams´ CSR activities

Doing Good at the Right Place: The Geographical Focus of Sport Teams’ Corporate Social Responsibility Activities

Are you interested in international sport management? The Department of Sport & Health Management offers students who will be graduating from the TUM Faculty of Sports and Health Science or the TUM School of Management the possibility for interdisciplinary research (i.e., write a bachelor or master thesis). The topic is: "Doing Good at the Right Place: The Geographical Focus of Sport Teams’ Corporate Social Responsibility Activities."
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Kontakt: info.mgt@sg.tum.de

21.01.2015

Master Thesis / Internship in Singapore Self-organizing decentralized traffic light control in large-scale urban networks

Decentralized traffic light control based on self-organization, communication between proximate traffic signals and information exchange between traffic lights and vehicles could improve both traffic flow and system robustness. The objective of this thesis/internship is to develop and apply a concept where individual traffic lights autonomously decide on their switching depending on the real-time information they receive from their environment
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Kontakt: dominik.pelzer@tum-create.edu.sg

15.01.2015

Masterarbeit zur Aufreinigung von bioaktiven Taxoid-Derivaten

Das Projekt SysBioTerp befasst sich unter anderem mit der Entwicklung einer prozessintegrierten Produktaufarbeitung für die nachhaltige Herstellung strukturell minimierter, bioaktiver Taxoid-Derivate in E. coli, da herkömmliche Methoden sehr umweltbelastend sind und mittelfristig nicht ausreichen um die steigende Nachfrage zu decken. Die Entwicklung & Optimierung eines effizienten Downstream-Verfahrens ist für die Etablierung eines wirtschaftlichen Gesamtprozesses von großer Bedeutung. Aufgrund des stark unpolaren Charakters von Taxoiden kommen vor allem chromatographische Verfahren und die Extraktion mit organischen Lösungsmitteln in Frage.
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Kontakt: k.dieler@tum.de

14.01.2015

Master Thesis / Internship in Singapore: Intelligent Control of Energy Storage in Smart Grids: Analysis of Ancillary Service Markets and Go-to-Market Strategy Development

Smart grids rely on the intelligent control of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch. The objective of this thesis/internship is to identify the most promising markets for employing the developed technology and to draft a Go-to-Market strategy.
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Kontakt: david.ciechanowicz@tum-create.edu.sg

14.01.2015

BA/MA Neue Systeme für die Flüssig-Flüssig Chromatographie: Ionische Flüssigkeiten basierte wässrige Zweiphasensysteme

Untersuchung der Verteilung von biotechnologisch relevanten Makromolekülen in wässrigen zweiphasen Systemen
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Kontakt: franziska.bezold@tum.de

09.01.2015

ErdnussflipKompression

BA/MA "Einfluss von Cellulose-Derivaten auf die Anfeuchtung und Sprödigkeit von Erdnussflips"

Die Knusprigkeit von Chips hängt bei der Lagerung stark von der Umgebungsfeuchte ab. Dabei wirkt sich eine minimale Anfeuchtung schon negativ auf die Knusprigkeit aus, weil sich die meist stärkehaltigen Getreideprodukte plastifizieren:

1. erst durch eine Sprödigkeitsabnahme kombiniert mit einer Zähigkeitszunahme bei niedrigen Feuchtigkeitswerten,

2. dann mit eine Weichmachung.

Der Einsatz von Cellulose-Derivaten als Zutat in der Extrusionsmasse (für Erdnussflips) und/oder als äußere Opferschicht (Wasserdampf-Ansaugung) könnte dazu beitragen, die Plastifizierung zu verhindern bzw. zu verlangsamen. Somit könnten Trockenprodukte, die nach der Öffnung der Verpackung oft unter schlechten Bedingungen aufbewahrt werden, länger haltbar gemacht werden.

Wir brauchen einen motivierten Studierenden, der Erdnussflips herstellt, den Kompressionsverhalten unter unterschiedlichen Feuchtigkeitsverhältnissen misst, und den Einfluss der eingesetzten Cellulose-Derivate einschätzt. Ein Teil der Arbeit wird am SVT-Lehrstuhl durchgeführt und ein Teil am Fraunhofer IVV in Freising.

INTERESSE GEWECKT?

Kontakt: solange.sanahuja@tum.de

09.01.2015

Master Thesis / Internship in Singapore: Smart Buses in Large-scale Urban Transportation Systems

In most urban areas and megacities, transportation systems are operating at their capacity limits resulting in congestion and low travel comfort. The availability of large amounts of real-time data may, however, bring the opportunity to efficiently address these issues. In this project, concepts are being developed which will enable future transportation systems to make use of this real-time information in order to intelligently and autonomously adapt to the instantaneous transportation demand and supply. One part of future transportation systems could be smart buses which autonomously decide on their destinations depending on where people are and where they want to go. Building on previous work, the objective of this thesis/internship is to develop a methodology which optimally allocates passengers to these smart buses and adapts their routes accordingly.
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Kontakt: dominik.pelzer@tum-create.edu.sg

09.01.2015

Master Thesis / Internship in Singapore: Intelligent Control of Energy Storage in Smart Grids: Handling Price Prediction Uncertainties

Smart grids rely on the intelligent control of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch. One component of the system is to use real-time electricity prices and short-term price predictions in order to schedule the charge/dispatch process in the most profitable way. The objective of this thesis/internship is to develop an algorithm which optimally deals with uncertainties related to these price predictions. This will be achieved by employing machine learning techniques which enable the system to continuously analyze the degree of uncertainty and to best account for this uncertainty when performing the schedule optimization.
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Kontakt: dominik.pelzer@tum-create.edu.sg

09.01.2015

Master Thesis / Internship in Singapore: Intelligent Control of Energy Storage in Smart Grids: Mobility Pattern Prediction

Intelligent Control of Energy Storage in Smart Grids: Mobility Pattern Prediction Smart grids rely on the intelligent control of individual consumers and generators. In this project we are developing a system which intelligently controls how mobile or stationary energy storages are charged and discharged to support the stability of power grids. One objective of the project is to realize a technology for the integration into electric vehicles (EV) to perform smarter charging and intelligent Vehicle-to-Grid (V2G) dispatch. To optimally schedule the charging and discharging of an EV, the time at which the vehicle will be used for driving and the required amount of energy needs to be known. This information can be predicated from a user’s historical trip data. The objective of this thesis/internship is to develop a machine learning algorithm which is capable of making this short term mobility pattern prediction.
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Kontakt: dominik.pelzer@tum-create.edu.sg