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University Assistant (prae doc) at the Research Group Communication Technologies

23 days ago | Closing on May 30
University of Vienna
University Assistant (prae doc) at the Research Group Communication Technologies
University of Vienna
The University of Vienna was founded by Duke Rudolph IV in 1365. It is the oldest university in the German-speaking world and one of the largest in Central Europe.
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JOB DETAILS
Published: 23 days ago
Application deadline: May 30
Location: Vienna, Austria
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University Assistant (prae doc) at the Research Group Communication Technologies


The University of Vienna (15 faculties, 4 centres, about 174 fields of study, approx. 9.500 members of staff, more than 94.000 students) seeks to fill the position as soon as possible of a

University Assistant (prae doc)
at the Research Group Communication Technologies


Reference number: 8551
In contrast to traditional communication networks which rely on proprietary algorithms and “blackbox” hardware, modern networks support numerous algorithmic optimizations: in terms of routing, traffic engineering, medium access, queuing, etc. become „programmable“ and “software-defined”. Companies like Google exploit these optimization opportunities, e.g., to efficiently schedule big data transfers across their wide-area network. Many companies also exploit these optimization opportunities to allocate flows in a datacenter network more efficiently and, e.g., reduce latency or job completion time. As datacenter networks are typically also highly virtualized, additional optimization opportunities arise: for example it is possible to flexibly place or even migrate communication endpoints (virtual machines or containers), to reduce communication costs (keywords: „resource allocation“ and „virtual network embedding“). Recently, it has even become possible to change the physical network topology over time, enabling “demand-aware networks” whose topology is optimized toward the traffic pattern or workload they serve, and introducing novel „network design“ problems (keyword: self-adjusting networks).

Yet, the algorithmic problems underlying modern communication networks, while practically very relevant, are not well understood today. We hence are looking for a PhD student (“pre-doc”/”Doktorand(in)”) with a strong background and interest in algorithms (in particular, graph algorithms, approximation algorithms, randomized algorithms, distributed algorithms, dynamic programming, linear programming etc.). The goal of our research is to lay the algorithmic foundations of modern communication networks, e.g., in areas such as routing, scheduling, clustering, and network design. It is expected that the PhD student contributes to the modelling, algorithm design, optimization, and formal analysis (e.g., proofs of correctness and performance) for such networks.

Already existing Publications in this area are not expected but are a plus.

Duration of employment: 4 year/s
Extent of Employment: 30.0 hours/week
Job grading in accordance with collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) with relevant work experience determining the assignment to a particular salary grade.
Job Description:
Participation in research, teaching and administration:
- Participation in research projects / research studies
- Participation in publications / academic articles / presentations
- We expect the successful candidate to sign a doctoral thesis agreement within 12-18 months.
- Participation in teaching and independent teaching of courses as defined by the collective agreement
- Supervision of students
- Involvement in the organisation of meetings, conferences, symposiums
- Involvement in the department administration as well as in teaching and research administration

Profile:
- Master-Diploma (or equivalents) with distinction in computer science, electrical engineering, mathematics, or a related field; focus on algorithms and/or optimization. Programming and networking knowledge required. Additional interest in related techno-economic aspects desired.
- Professional competence in designing and analyzing algorithms: exact algorithms, approximation algorithms, randomized algorithms, online algorithms, distributed algorithms, etc.; lower bounds; optimization techniques and linear programming.
- Methodological competence in algorithm design, formal analysis, optimization
- Didactic competence
- High ability to express yourself both orally and in writing
- Excellent command of written and spoken English
- IT user skills
- Ability to work in a team
Desirable qualifications are
- Teaching experience / experience of working with e-learning
- Knowledge of university processes and structures
- Experience abroad
- Basic experience in research methods and academic writing

Application documents
- Letter of motivation
- Academic curriculum vitae
- List of publications, evidence of teaching experience (if available)
- Short doctoral project proposal
- Degree certificates

Research fields:
Main research field
Special research fields Importance
Computer Sciences
Theoretical computer science;Distributed systems MUST




Applications including a letter of motivation (German or English) should be submitted via the Job Center to the University of Vienna (http://jobcenter.univie.ac.at) no later than 30.05.2018, mentioning reference number 8551.

For further information please contact Schmid, Stefan +43-1-4277-78610.

The University pursues a non-discriminatory employment policy and values equal opportunities, as well as diversity (http://diversity.univie.ac.at/). The University lays special emphasis on increasing the number of women in senior and in academic positions. Given equal qualifications, preference will be given to female applicants.
Human Resources and Gender Equality of the University of Vienna
Reference number: 8551
E-Mail: jobcenter@univie.ac.at
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