Gleich im ersten Semester bekamen Studenten des neuen Bachelorstudienganges Landschaftsarchitektur und Landschaftsplanung am Wissenschaftszentrum Weihenstephan der TU München eine anspruchsvolle Planungsaufgabe, und das unter Wettbewerbsbedingungen: Ihre Aufgabe im Projektstudium war die Gestaltung des Kreisverkehrs an der nördlichen Stadteinfahrt Garchings an der B 11. Die Stadt Garching hatte dazu einen studentischen Wettbewerb ausgeschrieben.

Am Donnerstag, den 9. Februar 2006, veranstaltet die Technische Universität München (TUM) von 9 bis 17 Uhr einen Schülertag an ihren drei Standorten München, Garching und Freising-Weihenstephan.

Uni-Live an der Technischen Universität München Ihr Studium. Ihre Zukunft. Am 9. Februar 2006 veranstaltet die Technische Universität München einen Schülertag an den Standorten Innenstadt, Campus Garching und am Wissenschaftszentrum Weihenstephan.

Zum Beginn des neuen Jahres lädt das Wissenschaftszentrum Weihenstephan wieder zum traditionellen Neujahrsempfang ein.

Die Stiftung Warentest hat die Poliklinik für Präventive und Rehabilitative Sportmedizin der TU München mit einem Spitzenplatz bewertet. Getestet wurden sportmedizinische Checks in sportmedizinischen Zentren und bei niedergelassenen Ärzten.

Start mit TU Kopenhagen: Allianz für Naturwissenschaft und Technik

Wegen Ausfällen der Datenleitung zum Leibniz-Rechenzentrum nach Garching kann es zu Beeinträchtigungen im Portalbetrieb kommen.

Hilfskraft zur Erstellung von Moodle-Aufgaben für Analysis 3 (EI) gesucht

The Chair of Robotics, Artificial Intelligence and Real-Time Systems offers thesis positions in the area of software development in the automotive context.

Die Geschäftsstelle des TranslaTUM sucht ab sofort eine/n „Controller/in mit IT-Kenntnissen (m/w/d)“ in Voll-zeit (40,1 Wochenstunden)

Das Institut für Anästhesiologie am Deutschen Herzzentrum München des Freistaates Bayern - Klinik an der Technischen Universität München - sucht zum nächstmöglichen Zeitpunkt eine Institutsassistentin/-sekretärin (m/w/x)

Im Präsidium der TUM wird zum 1. September 2021 eine studentische Hilfskraft für ca. 9 Stunden/Woche zur Unterstützung des Büros des Präsidenten bei administrativen und organisatorischen Aufgaben gesucht.

Die Professur für Umweltsensorik und Modellierung bietet eine Master Thesis zur Entwicklung einer Messeinheit mit mehreren Instrumenten, welche auf einer mobilen Plattform integriert wird (Fahrrad, E-Bike, Cargo- Bike, …). Diese dient zur Kalibrierung der Knoten unseres IoT-Sensornetzwerkes zur Luftqualitätsmessung. Mithilfe der Messeinheit wird dann eine Messkampagne in München durchgeführt.

UnternehmerTUM offers founders and startups a complete service from the initial idea to IPO. A team of experienced entrepreneurs, scientists, managers and investors supports founders with the development of their products, services and business models. The experts accompany them actively with building up their companies, market entry and financing - also via the UnternehmerTUM Fund. The accelerator programme TechFounders coaches technology startups over a period of 20 weeks up to an initial venture round, and paves the way for joint ventures with established companies. For industry partners, UnternehmerTUM is a unique platform for cooperation with new companies, and for expansion of their innovative strength and culture. Covering 1500 square metres, 'MakerSpace', Europe's largest publicly accessible high-tech workshop, enables companies, startups and creatives to produce prototypes and small batches using state-of-the-art machines such as large 3D printers. UnternehmerTUM was founded in 2002 by the entrepreneur Susanne Klatten. With more than 50 high-growth technology start-ups each year and its unique offering, it is the leading center for business creation in Germany.

PhD position on: “Real-Time resource control for heterogeneous multicore SoC” Brief Info: • Laboratory: Chair of Cyber Physical Systems in Production Engineering, Technical University of Munich. (See http://www.professoren.tum.de/caccamo-marco/ ) • Supervisors: Marco Caccamo, Luca Abeni • We are currently looking for motivated Ph.D. students who would like to work at TUM, Munich in collaboration with Scuola Superiore S’Anna, Pisa • Contacts: email mcaccamo@tum.de and luca.abeni@santannapisa.it Scientific Context Modern heterogeneous multi-core System-on-Chip (SoC) technologies in embedded computing systems pose new challenges for safety critical and real-time applications due to (i) increased temporal coupling between processing cores, (ii) higher degree of software integration and (iii) increased uncertainty in the hardware timing model that is used in the development and certification of embedded software for safety critical real-time systems (like avionics, autonomous automotive systems, production robots, etc.). In multicore architectures, coupling across distinct software partitions arises because of shared hardware resources (like cache, main memory, I/O, and dedicated hardware engines), and result in loss of composability. In other words, when two software components are composed (i.e., simultaneously executed), the effect that one has on the performance of another can be significant, resulting in unexpected temporal behavior. The problem of inter-core performance interference in multicore architectures is well known and has been largely studied in literature [1, 2]; additionally, last generation architectures include several heterogeneous hardware components including programmable logic (PL), graphics processing units (GPUs), vision processing units (VPUs), tensor processing units (TPUs) to name a few. These complex heterogeneous platforms have further aggravated the inter-core interference problem [3] but they also provide a unique opportunity for us to invent near-optimum integrated hardware-software real-time resource management primitives. Research The PhD candidate will review the existing literature on the broad topic of resource management for realtime heterogeneous SoCs, identify a specific problem (or a set of problems) he/she plan to solve, and then research, develop, and evaluate innovative resource management solutions to address the highlighted issue(s). To do this, the candidate will focus his/her attention on a specific sub-system of these complex architectures based on the preference/skills of the student and recommendations by the supervisors. Requirements The candidate is required to have a Master degree in computer science or electrical computer engineering and preferably should have a strong background in computer architecture, real-time systems theory, and operating systems; but at least in two of those listed fields. [1] H. Kim, D. de Niz, B. Andersson, M. Klein, O. Mutlu, and R. Rajkumar. Bounding memory interference delay in cots-based multi-core systems. In 2014 IEEE 19th Real-Time and Embedded Technology and Applications Symposium (RTAS), pages 145–154, April 2014. [2] L. Sha, M. Caccamo, R. Mancuso, J.-E. Kim, M.-K. Yoon, R. Pellizzoni, H. Yun, R. Kegley, D. Perlman, G. Arundale and R. Bradford, "Real-Time Computing on Multicore Processors", IEEE Computer, Vol. 49, Issue 9, pp. 69-77, September 2016. [3] M. Yang, N. Otterness, T. Amert, J. Bakita, J. Anderson, and F. D. Smith, “Avoiding Pitfalls when Using NVIDIA GPUs for Real-Time Tasks in Autonomous Systems”, Proceedings of the 30th Euromicro Conference on Real-Time Systems, pp. 20:1-20:21, July 2018