PhD Positions in Databases Data Science on Modern Hardware, TU Dortmund University

Interested in high-class research in the field of databases and modern hardware architectures?  As the Databases and Information Systems Group (DBIS Group) at TU Dortmund University, we're looking for talented, enthusiastic, and visionary

Research Assistants (PhD students)

At TU Dortmund University, we are exploring the use of modern hardware technologies, including multi-core processors, GPUs, and FPGAs, to accelerate database and Data Science tasks.  The DBIS Group is part of the Collaborative Research Center SFB 876 at TU Dortmund, a world-leading research effort in the Data Science field.

As a PhD student, you'd be part of that effort; you'd support our group in close collaborations with other groups in the department, but also with practitioners that need your help to handle vast amounts of data, e.g., from the LHC particle accelerator at CERN.

TU Dortmund University is among the largest and strongest universities in the metropolitan "Ruhr" area.  The Internet in Germany has its roots in the IT support center of our Computer Science department.

As a research assistant (PhD student), you'd be paid according to the TV-L 13 pay scale; roughly 40,000 EUR per year gross salary, plus attractive support for pension and health insurance.

For further information, please visit

http://dbis.cs.tu-dortmund.de/cms/en/home/jobs/

or contact Jens Teubner, jens.teubner@cs.tu-dortmund.de.





Download Official Call (pdf)

Applications enclosing the usual material may be sent until 03.03.2016 under reference number w18-16 to to:
Jens Teubner
DBIS Group, TU Dortmund University
Otto-Hahn-Strasse 14, 44227 Dortmund, Germany
jens.teubner@cs.tu-dortmund.de

Open PhD position on Data Stream Mining Leibniz University of Hanover / L3S Research Center, Germany

Open PhD position on Data Stream Mining

Leibniz University of Hanover / L3S Research Center, Germany.

We are offering one fully-funded PhD position at the Leibniz University of Hanover / L3S Research Center, starting in April or May 2016.

Your research will focus on data stream mining and in particular, data mining model extraction and adaptation over evolving data streams, change detection, evolution monitoring and reasoning.

Applicants should have a strong background in computer science, including data structures, algorithms, and data mining / machine learning, excellent programming skills, team work capacity, and ability to meet deadlines.

The salary amounts to German TV-L E13, which is roughly 40.000 to 50.000 Euro gross income per year.

Please send your application including the usual documents and a list of references, until March 15, to Eirini Ntoutsi, ntoutsi@kbs.uni-hannover.de.

About L3S

L3S is a research center for basic and applied research in the field of Web Science. It is a research-driven institution that stands out through its significant innovations, and attracts top-class graduate and PhD students and staff members from around the world. For young scientists the L3S is encouraging, innovative, international, supportive and independent. More on: https://www.L3S.de/

About Hanover

Hanover is not only the most central city in Germany, but also one of the greenest cities in Europe. It offers a wide range of cultural facilities, sporting activities, colorful festivals, interesting shopping and, of course, numerous green spaces for recreation.

More on: http://www.hannover.de/en

Further Information

Research Fellow: Design of a reliable and efficient communication primitive for ultra-low power wireless embedded systems, cfaed, Germany

The Cluster of Excellence 'Center for Advancing Electronics Dresden' (cfaed) offers a fixed-term position as

Research Fellow
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

Research area: Design of a reliable and efficient communication primitive for ultra-low power wireless embedded systems

cfaed Investigators: Dr. Marco Zimmerling

cfaed research path: Resilience Path

Terms: the position starts as soon as possible and is fixed-term to 31.10.2017.
Subject to the continued third-party funding of the cluster after 2017, the extension of the contract may be possible.

The period of employment is governed by  2 Fixed-Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD).

For informal enquiries please contact Dr. Marco Zimmerling at marco.zimmerling@tu-dresden.de
Applications from women are particularly welcome. The same applies to people with disabilities.

Reference Number: PhD1511_NESG

Closing date for applications: 01.03.2016

See full announcement (PDF)


If you are interested in one of these vacancies at cfaed, please send us your full application (in English only), preferably as one single pdf-document

• by e-mail to: recruiting.cfaed@tu-dresden.de
• by post to the following address: TU Dresden, cfaed, Dr. Patricia Grünberg, 01062 Dresden, Germany.

International Climate Protection Fellowships For young climate experts from developing countries, Germany

For young climate experts from developing countries interested in conducting a project in Germany and developing long-term collaborations

The fellowship allows future leaders to spend a year in Germany working on a research-based project of their own choice in the field of climate protection and climate-related resource conservation.

Fellows are free to choose their own hosts. Submit an application if you come from a non-European transition or developing country (see list of countries) and are active in any of the following areas: scientific, engineering-based, legal, economic, health-related or social aspects of climate change.

During a three-week introductory phase, you will have the opportunity to make contact with other climate protection fellows and visit companies, research institutions and cultural events in Germany.

An intensive German-language course before you begin the fellowship will smooth your way into everyday life in Germany whilst a continuing education event lasting several days in the course of the fellowship will enable you to acquire not only practical knowledge of climate protection but also expertise in management.

The closing date for applications is 1 March 2016. Subject to final confirmation of funding, 20 fellowships can be granted.

Application requirements

• The first university degree (Bachelor's or equivalent) must have been obtained within the past 12 years, counting from the end of the application period
• Clearly visible leadership potential demonstrated by experience in a leadership position, or appropriate references
• Work experience (at least 48 months at the time of application) or a successfully completed doctorate in the field of climate protection
• A detailed statement by a host in Germany, including a mentoring agreement. You can find information on potential host institutions in Germany on the project data base of the German Federal Environmental Foundation, on the Research Explorer, on the Klimanavigator and in the link list provided by the Helmholtz Centre for Environmental Research.

• Very good knowledge of English and/or German
• Citizenship of a non-European transition or developing country (see list of countries) which is also the fellow’s habitual abode and place of work
• Two expert references by individuals qualified to comment on the candidate’s professional, personal and, if applicable, academic eligibility and his / her leadership potential

Benefits
 

• Fellowship amount according to qualifications between €2,150 and €2,650 per month
• Two-month intensive language course in Germany
• Lump sum for travel expenses
• Allowances for visits by family members lasting at least three months
• Allowance of €800 per month for the host in Germany for projects in the natural and engineering sciences, and €500 per month for projects in the humanities and social sciences

• Allowance for a study or research visit to an institution in another European country lasting from one to two months
• Allowance for single parents accompanied by children
• Additional extension of the fellowship by up to three months if children under 12 also accompany the fellow to Germany
• Extensive alumni sponsorship

All you need for your application

• Programme details (PDF)
• Form for the proposed host and confirmation of support (DOC)
• Form for letters of recommendation (PDF)

Further Information 

Open PhD Position in Data Mining, data analytics group at the University of Mannheim, Germany

The data analytics group at the University of Mannheim, Germany, invites applications for the following open position:

RESEARCH ASSISTANT / PHD STUDENT IN DATA MINING (TV-L 13).

The group's research focuses on systems and methods for analyzing and mining large datasets as well as their applications in practice. We are looking for a highly motivated candidate to conduct research in the areas of pattern mining and text mining. The candidate should have a strong background in one or several of the following areas:

• Data mining and machine learning
• Information extraction
• Natural language processing

The position is payed according to German regulations (TV-L 13, ~3300€ before tax) for an initial duration of two years (extension is possible).

The data analytics group is a member of the Data and Web Science group at the University of Mannheim; more information can be found at:

http://dws.informatik.uni-mannheim.de/~rgemulla
http://dws.informatik.uni-mannheim.de

Please contact Rainer Gemulla for informal enquiries.

Applications should contain a CV, university transcripts, a copy of the master thesis (or equivalent) as well as a list of personal references. All complete applications received until January 30, 2016 will receive full consideration. Applications can be sent via e-mail to Martina Hey or via postal mail to Prof. Dr. Rainer Gemulla / Universität Mannheim / 68161 Mannheim / Germany. Please be aware that breach of confidentiality and unauthorized access by a third party cannot be excluded for a communication without encryption.

The University of Mannheim seeks to increase the proportion of women in research and teaching. Preference will be given to suitably qualified women or persons with disabilities, all other considerations being equal.

Deadline : January 30, 2016

Official Source

12 fully funded PhD student positions, Cologne Graduate School of Ageing Research, Germany

The Cologne/Bonn area has emerged as a leading global research centre with a stellar constellation of institutes and scientists dedicated to ageing research. These include the University of Cologne Excellence Cluster on Stress Responses in Aging-Associated Diseases (CECAD), the University Hospital Cologne, the Max Planck Institute for Biology of Ageing, the Max Planck Institute for Metabolism Research, and the Center of Advanced European Studies and Research (caesar) in Bonn.

Together, we invite young scientists of exceptional talent to apply for

12 fully funded Ph.D. student positions

in our structured Ph.D. training programme of the Cologne Graduate School of Ageing Research (CGA) starting from October 1st 2016. The initial contract is limited until September 30th 2019. Payment is based on the German TVL- 13 scale (65%) if terms and conditions under collective bargaining law are fulfilled or on the support contract of the Max Planck Society (Promotionsfördervertrag, sui generis).

Our goal is to train a new generation of biomedical scientists who will make fundamental scientific discoveries in the basic biology of ageing and may translate them into improvements in health and life for people as they grow older.

The programme includes an excellent infrastructure for training and research by internationally recognized scientists in new facilities with state-of-the-art technologies. The Ph.D. project can be carried out in one of the four partner institutes. The programme is complemented by seminars and courses in ageing research, hands-on method courses, writing and presentation training as well as practical career development opportunities.

We offer

• Outstanding interactive research environment for ageing research
• Interdisciplinary and structured Ph.D. programme in English
• Intensive support for international students

We are seeking highly qualified students holding a M.Sc. or equivalent degree with a background in Cell/ Molecular Biology, Biochemistry, Genetics, Biophysics, Bioinformatics, Translational Medicine or a related field. Applicants should be fluent in written and spoken English and should have completed their degree by the start of the programme in October 2016.

 
The University of Cologne is an equal opportunities employer. Applications of women are thus especially encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications.

The application deadline is February 12th, 2016. To apply or to obtain further information about the programme and the partner institutes please visit our website and apply online via the application platform at http://www.ageing- grad-school.de.

For further questions, please contact Dr. Katharina Costa Rodrigues (cologne-grad-school-age@uni-koeln.de).

Download pdf brochure 

PhD positions Computer Networks: SDN in data centers, anticipatory systems, participatory systems, Paderborn University, Paderborn, Germany

Research Group Computer Networks

This research group works on communication in computer networks and classical telecommunication network scenarios. Main focus of the work is Internet, data centre networks and mobile and wireless communication.

• A PhD student position ("Wissenschaftlicher Mitarbeiter", E13) in the context of the SFB-901 "On-The-Fly Computing"
  

• A PhD student position ("Wissenschaftlicher Mitarbeiter", E13) with teaching obligations
  

• Two positions with 19 hours per week in SFB-901 "On-The-Fly Computing".
  

If interested in these jobs, please contact Prof. Karl by email (holger.karl@uni-paderborn.de); in the subject of the email, please mention JOB-FGCN-2016-I (else, your email will likely be ignored).

PhD student in SFB 901 On the fly computing 

Keywords: data centre networking, software defined networking, participatory systems, scheduling.
The collaborative research centre 901 ("Sonderforschungsbereich") considers the dynamic provisioning of both software and the its executing infrastructure upon request. You can find details on the SFB 901 webpage.

Our research group, more specifically, considers questions in the context of data center networking, the execution of complex applications in data centre (an example could be map/reduce-style jobs), and the participation of these applications in the decision making process. Our goal is to extend today's common data centre architectures by interfaces for applications to announce their needs, according scheduling algorithms that make use of such knowledge, and to build proof of concept realizations of these concepts.

A solid understanding of IT systems aspects (cloud computing like OpenStack, data centre, software defined networks) as well as some algorithm background (mostly, scheduling theory) are helpful here. You should be familiar with Linux system-level programming.

PhD student on anticipatory systems  

Keywords: anticipatory networking, video streaming, wireless communication, network function virtualization, scheduling

The idea of anticipatory systems describes systems that have a limited understanding of the future: their own state, likely user behavior, changes in capacity of wireless links, etc. A typical example is anticipatory video streaming: assuming some rough understanding of future data rates (available e.g. from mobility patterns or the knowledge that the user currently sits in a train), video segments can be intelligently pre-fetched to avoid playout interruptions. This is, however, only a single example scenario.

The goal of this PhD thesis is to dig into the idea of anticipatory networking, how it can be applied to different scenarios - wireless systems are one obvious example, network function virtualization another one - and how a coherent architecture to support anticipation can be designed. This includes questions like how to gather information to base anticipation upon, how to assess limited accuracy in such anticipation models, how a framework for such decisions should look like, and characterizing the benefits of anticipation decisions in various scenarios.

For this thesis, a solid understanding of networking in particular and IT systems design in general is required. Moreover, statistical methods will likely play a significant role; you should hence be familiar at least with basic stochastics. Machine learning might be a relevant technique here and knowledge here might be useful as well.

As this is a position with teaching obligations, you should either have or are willing & able to acquire quickly a decent working knowledge of German.

PhD student, open topic 

Apart from the topics described above, we are always interested in PhD students with own ideas. If you have an interesting idea, by all means, do contact us and let's discuss whether we can support that.

Requirements for PhD positions

To apply for a PhD position in the Computer Networks group, you should meet the following requirements:

• Typically, you have a Master degree from a research-oriented Master's degree program; typically in computer science, computer engineering or related subject (e.g., electrical engineering with a communications focus, applied mathematics). Alternative degrees might be acceptable but need to be discussed in detail.
  

• You should have very good communication skills.
  
  • You should be able to read, write, and speak English fluently in everyday and technical discussions. You should also have very good technical writing skills in English.
    
  • Knowledge of German is appreciated but not initially required; we recommend that you pick up at least a bit of working knowledge of German during the first year (useful for everyday life). For positions with teaching duties, a good proficiency in German is required in a reasonable amount of time.
    

To substantiate these skills, please apply with:

• A curriculum vitae, detailing your prior education and job experience
  

• Your Master's thesis
  

• Any papers you might have written or co-authored so far (not required, but certainly a plus)
  

• A research statement: what are you interested in, what do you want to work on, what is preferred style of work (e.g., analytic, simulation, experimental, ...), why do you think you are a good match with our group? (A statement saying "I want to work in networking" is not enough.)
  

Please only apply electronically by email; do not send paper; only send PDFs (applications with Word attachments will be ignored).

PhD position TU Berlin, Open Distributed Systems, Prof. Manfred Hauswirth

PhD position TU Berlin, Open Distributed Systems, Prof. Manfred Hauswirth 

Salary grade: E13 TV-L Berliner Hochschulen Max. 4 years, part-time employment may be possible

Working field:

The extension of the Internet into the physical world (Internet of Things) requires a combination of many research areas like Web technologies, distributed systems, database systems, networking, sensor networks, Semantic Web, Linked Data, etc. This synergy facilitates the interconnectivity and interoperability of the Things on the Web. The goal is to enable simple access to data irrespective of their source (sensors, embedded systems, Web, Semantic Web, Linked Data, social media, e.g., Twitter, etc.), scalable management of this data using a single access abstraction, and a single data model. This will enable simple standardized ways to derive useful insights from the dynamic linked data. However, the sheer size, dynamics, and heterogeneity of the data in the IoT realm poses novel and unique challenges, which we investigate in Open Distributed Systems group at TU Berlin. Currently we are looking for a PhD researcher. A successful candidate will conduct her/his independent research in one of these areas and will play an active role in teaching and supervising of students.

Requirements:

As a successful candidate you should hold a university degree (Master, Diplom or equivalent) in computer science, applied mathematics, statistics or similar, with outstanding results.
Knowledge in several of the following areas:

- advanced distributed database systems,
- stream data management,
- machine learning,
- decision support systems,
- modeling and analysis of Big Data.
- Semantic Web,
- Linked Data and data integration.
- very good programming skills (C/C++, Java, Python).

Interest in challenging scientific problems and the motivation for independent and goal-oriented research and a good level of written and spoken English are required. German is an asset.

How to apply:

Please send your application with appropriate documents (cover letter, an academic curriculum vitae, and the names of two references) preferably by E-Mail to heike.fischer@tu-berlin.de quoting the reference number and "PhD Position Application" in the subject of the mail, or in writing to Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Telekommunikationssysteme, Open Distributed Systems, Prof. Dr. Hauswirth, Sekr. TEL 4-1, Ernst-Reuter-Platz 7, 10587 Berlin.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. International applicants are welcome. Please send copies only. Original documents will not be returned.