Thank you for your interest in our institute. All open positions are announced here.

Please Note: We do not accept any general unsolicited applications. If one of the open positions fits your profile, please apply to the specific position and to the person mentioned in the announcement.

The TU Wien is committed to increase female employment in leading scientist positions. Qualified female applicants are expressly encouraged to apply and will be given preference when equally qualified.
TU Wien is strongly committed to its diversity hiring goals and strategies (TU Diversity-Management) and strives to employ persons with disabilities with appropriate qualifications and explicitly encourage them to send in their application. For requests please contact the councelling for people with disabilities at the TU Wien (Gerhard Neustätter,

Die Universität strebt eine Erhöhung des Frauenanteils insbesondere in Leitungsfunktionen und beim wissenschaftlichen bzw. künstlerischen Personal an und fordert deshalb qualifizierte Frauen ausdrücklich zur Bewerbung auf. Bewerberinnen, die gleich geeignet sind wie der bestgeeignete Mitbewerber, werden vorrangig aufgenommen, soferne nicht in der Person eines Mitbewerbers liegende Gründe überwiegen.
Wir sind bemüht, behinderte Menschen mit entsprechender Qualifikation einzustellen und fordern daher ausdrücklich zur Bewerbung auf. Bei Rückfragen wenden Sie sich bitte an die Behindertenvertrauensperson der TU Wien, Herrn Gerhard Neustätter


Two Ph.D. Positions in Big Data Analytics (Announced: Sept 22, 2016)

The Institute of Telecommunications at TU Wien (Vienna, Austria) has two openings for full-time Ph.D. positions to conduct cutting-edge research in the general area of big data analytics in close collaboration with the Machine Learning for Big Data Group at Aalto University (Finland).

In the context of the WWTF project Co3-iGraB, we develop foundations for extracting useful information from massive data sets. The key idea is to tackle big data problems by a combination of graph signal processing and distributed optimization techniques. Distributed optimization can cope with high volume and high acquisition speed, whereas graph signal processing provides a universal language for modeling and managing diverse and decentralized data. The project is anticipated to lead to novel and versatile inference tools that are applicable to numerous real-world problems.

We look for talented and passionate researchers to work on problems in statistical/sparse graph signal processing, graph learning, and distributed/non-convex optimization. Interested candidates should hold a master degree (or equivalent), show a strong background in mathematics and analytical thinking, and have expertise in in at least two of the following fields: signal processing, statistics, optimization, information theory, and distributed computing. Excellent written and oral communication skills in English are a must.

The selected candidates will be offered a three-year Ph.D. contract with a gross salary of 40k€ and will have the opportunity to be part of a dynamic and internationally recognized team in an inspiring research environment. TU Wien is a leading academic institution, located in Vienna, which offers superior quality of living in the heart of Europe.

Applications including a cover letter, a detailed curriculum vitae, course transcripts, and the names of two referees should be sent by email to
Prof. Gerald Matz (E-Mail:


Ph.D. position (Announced: Sept 7, 2016)

The institute of telecommunications at the TU Wien is offering a position to carry out applied research in a Ph.D. position. Successful candidates will be involved in ‘Measuring and Modeling Mobile Broadband Performance’ activities funded by the Austrian Research Promotion Agency. The project focuses on deriving accurate, non-intrusive and distributed performance measurement methods. In short, the combination of distributed active and passive measurements combined with forecasting and analysis for future mobile broadband networks.

The Ph.D. activities will involve developing non-intrusive probing methodologies for mobile broadband networks, large-scale data and network analysis as well as data fusion and regression.

In detail the successful candidate is expected to:

  • Design, plan, setup and conduct a set of real time experiments to measure the performance and stability of mobile broadband networks in static and high mobility scenarios
  • Analyze and model the data collected during the experimentation phase by applying statistical methods.
  • Derive (statistical) models based on the conducted measurements to forecast the instantaneous available performance of a mobile broadband network in a given location with a minimal number of required active measurements.
  • Publish in relevant proceedings/journals/books and other media (e.g. press, internet)
  • Present research results in international conferences.


The ideal candidate should have a strong background in telecommunications or closely related disciplines, e.g., a Master degree in Computer Science, Electrical Engineering or related with an average grade of A or B within a scale of A-E for passing grades (A best).

A solid background in communication networks, networking and statistical signal processing are a requirement. Practical experience in data analysis and statistic processing/modelling of large data sets, e.g., within a student project, is required. Working knowledge of scripting languages, Matlab, Linux, SQL and Java are an asset. Knowhow in mobile networks and IP layer performance measurements is a plus.

Excellent level of communication skills in English is necessary (written and spoken). The candidate will work within an international team, and shall have good interpersonal and teamwork skills.

TU Wien is committed to increasing female employment in scientific positions. Female applicants are explicitly encouraged to apply. Preference will be given when equally qualified.

The application must be in a single PDF formatted file and should consist of:

  • Complete CV summarizing your academic work, positions and education
  • Cover letter explaining your qualifications and research motivation/interest towards a Ph.D.
  • Up to 3 (work-related) references (title, name, e-mail, telephone number and affiliation)Scan of all relevant documents (transcripts of grades Bac and MA, diplomas and further relevant certificates)

To apply, please send your application document to

Review of applications will be evaluated upon reception. Selected candidates will be invited for a Skype interview. Applications will be considered until the post has been filled. The deadline for submission is November 30th 2016.

For further information, please contact Philipp Svoboda (E-Mail:



Currently we have no internship positions available. Unsolicited applications will not be considered.

Summer Internship general information

Dear students interested in applying for a Summer Internship!

We welcome your interest in doing an internship at our institute. However, please note the following issues which we request you to read before you apply:

  • Unfortunately we are not able to offer you a paid internship. You have the opportunity to receive relevant practical experience but without any expectation of compensation.
  • You must insure yourself for accidents and health. We will not insure you against illnesses, accidents and personal liability for the duration of your internship.
  • The students or their organization(s) are expected to pay the travel costs. We will not reimburse any travel costs incurred by the interns.
  • We do not bear expenses for the accommodation, which may arise during the stay of your internship. Costs for accommodation are the responsibility of the intern or their sponsoring institution.
  • Our offer for interships is subject to availability of supervising staff and office space.

Please include a recommendation letter of one of your teachers or previous employers.

Summer Internship detailed information
  • Contact address for internships:
  • Direct inquiries addressed to any individual staff member of the department will be ignored.


With best regards,

Univ. Prof. Dr. Tanja Zseby

Head of institute