Distributed Systems

PhD student / Doctoral researcher (m/f/d) MarDATA-5: Automated Event Detection and Data-Analytics

PhD student / Doctoral researcher (m/f/d) MarDATA-5: Automated Event Detection and Data-Analytics

9 PhD positions in Marine Data Science in Kiel, Germany. One of them, the "Doctoral researcher (m/f/d) MarDATA-5 Automated Event Detection and Data-Analytics" in Underwater Sensor Networks will be co-hosted by our research group.

The Helmholtz School for Marine Data Science (MarDATA) is looking for graduates in computer science, computer engineering, applied mathematics (and the like) to fill 9 PhD positions (full position E13, 36 months) in computer science and marine data science at GEOMAR Helmholtz Center for Ocean Research Kiel, Germany.  In 9 predefined topics, doctoral researchers (PhD candidates) will address research questions on the interface between data science and marine science and will help to decrypt an #oceanfullofdata. For details, please see the call for applications and the individual vacancies (www.mardata.de/apply).

One of them, the "Doctoral researcher (m/f/d) MarDATA-5 Automated Event Detection and Data-Analytics" in Underwater Sensor Networks will be co-hosted by our research group:

Due to rising sea levels and growing populations, coastal communities have never been as vulnerable to natural hazards as today. Moreover, we see an ongoing transformation of the energy sector through, for example, the booming offshore wind energy and the planned storage of CO2 beneath the sub-seafloor. In this context, the project aims at a paradigm shift in seafloor monitoring technology away from today’s inflexible, costly, and mostly cabled networks with highly specialized instruments requiring sophisticated infrastructure towards cost-efficient, distributed, and intelligent approaches. By devising swarms of intelligent underwater sensor nodes, each equipped with sensing, computing and communication capabilities, we will enable resource- and energy-efficient, distributed data-collection and analytics at (quasi) real-time on the seafloor. The underwater sensor network will coordinate to analyze and detect events of interest and intelligently adapt sensing protocols to, for example, save energy when few events of interest occur. Envisioned applications include monitoring of sub-seafloor operations or early warning systems for active submarine volcanoes.

This is a joint research project of GEOMAR and the Institute of Computer Science at Kiel University. The Doctoral researcher works at the interface between Computer Science, Data Science and Marine Geoscience, but has a research focus on the Computer Science aspects. The overarching research aim of the PhD thesis will be to devise approaches to distributed and adaptive data analytics in resource-constrained seafloor sensor networks that can reliably achieve complex autonomous monitoring. Each sensor node will be equipped with a variety of sensors and while each device is cheap and resource-constrained, the novelty of the approach and its advantages stem from the number of devices, their distributed deployment, and their ability to compute and communicate. This enables new approaches to cooperatively analyze data and to intelligently react as a community to events building on top of a lander platform being developed by GEOMAR. The project will focus on novel approaches to (1) devise resource-efficient, autonomous and distributed event detection and data analytics algorithms for seafloor sensor nodes, and (2) design communication strategies and distributed network architectures for seafloor sensor swarms. Finally, the sensor swarms will be (3) tailored for one or multiple test applications under real word conditions as demonstration project(s).

The starting salary depends on qualification etc. but can be estimated to a gross salary of about €4000 per month. German is not a requirement for the position. The position is a research position, and it does not include teaching duties. For more details (including application instructions), please have a look at the Doctoral researcher (m/f/d) MarDATA-5 Automated Event Detection and Data-AnalyticsDeadline for application is 04th of July 2021! Please include the typical items such as CV, letter of motivation, transcripts with grades, names of references /recommendation letters and send your application via email in a single pdf-file mentioning the keyword "MarDATA -Distributed Seafloor Sensor Networks in the subject line. Please send your application not later than July 4th, 2021 to the following email address: bewerbung(at)geomar.de

In the following, selected information about PhD studies and the research environment.

About MarDATA:

The graduate school “Helmholtz School for Marine Data Science” (MarDATA), financed by the Helmholtz Association, aims to define and educate a new type of “marine data scientist” by introducing and embedding researchers from computer sciences and mathematics into ocean sciences, covering a broad range from supercomputing and modeling, (bio)informatics, robotics, to statistics and big data methodologies. Education of doctoral researchers in joint block courses, international summer schools and colloquia goes beyond a single discipline towards genuine scientific insight into and a more systematic treatment of marine data. For more information see www.mardata.de or follow @data_mar on Twitter. 

About Kiel University

As Schleswig-Holstein's only fully-fledged university with 27,000 students and more than 2,000 scientists, Kiel University (CAU) offers a cross-disciplinary academic environment. The disciplines offered by its eight faculties are connected by constant dynamic interfaces that are reflected in the university's teaching and integrative research profile. There is close cooperation between the Gustav-Radbruch-Network for Environmental Philosophy and Ethics and all university institutes. This is where ethical issues are discussed which go beyond disciplinary boundaries.

In 2008, four priority research areas were established, based on intensive collaboration: Kiel Life Science, Kiel Marine Science, Kiel Nano, Surface and Interface Science, as well as Societal, Environmental and Cultural Change. Each research area combines the expertise from various faculties - from natural sciences, social sciences, engineering, law and humanities. Today, the priority research areas are firmly embedded in the university’s structures. They complement the wide range of individual research in the various subjects, and form the basis for the Clusters of Excellence "ROOTS - Societal, Environmental and Cultural Connectivity in Past Societies" and "Precision Medicine in Chronic Inflammation (PMI)".

In parallel to this, shared research infrastructures evolved, such as a cleanroom, a lab for analysing ancient DNA, a platform for molecular in-vivo imaging or Europe’s largest scientific Next-Generation-Sequencing-Platform. A shared Computing Center provides high-performance computer systems and storage services, and develops sophisticated strategies for managing research data.

To get some impressions about the university and student life, you can have a look at this YouTube Video

About living and working in Kiel

About living and working in Germany

Department of Computer Science

In 1971, our department was founded as one of the first departments of Computer Science in the Federal Republic of Germany and has since been the focal point of research and educational activities in Computer Science at the Kiel University. Currently, the department consists of 19 working groups, covering all central aspects of computer science, business information technology and parts of algorithmical and numerical mathematics. The department offers bachelor and master programs in Computer Science and related disciplines as well as PhD studies. 

Distributed Systems Research Group

As a research group, we do -- mainly data-driven -- systems research and focus on Networked and Distributed Systems (in German: Vernetzte und Verteilte Systeme).  We are particularly passionate about the Internet of Things (IoT), Edge Computing, Edge AI, Autonomous Systems, Smart Cities, Industry 4.0. We love to build systems, play with them (=run experiments & write papers) and invite others to play with them, too, by releasing our results and code to the public. The group is lead by Olaf Landsiedel. As of today, the group consists of four PhD students, a PostDoc, as well as a technician and a secretary for support. Recent awards include Best Paper Awards at EWSN 2019 and ACM SenSys 2013 and the SSF Future Research Leader Award in 2017. For more, please have a look at our research overview. 

Academic Jobs and Salary in Germany

This position is fully funded. Thus, we are hiring a full time junior researcher. It is paid according to TV-L 13. TV or TVÖD denotes the "Tarifvertrag im Öffentlichen Dienst", i.e,  the salary levels of  German civil service employees. TV-L level 13, in German "Entgeltgruppe 13", is the level that PhD students in Computer Science (and some other high-demand areas) qualify for. The starting salary depends on qualification and other factors such as marital status but can be estimated to a gross salary of about €4000 per month. Working hours are roughly 39 per week and the job includes paid vacation and benefits such as health insurance

PhD Studies in Germany

Ahe PhD students works on his or her subject in consultation with the professor (supervisor) and potentially in collaboration with other PhD students and PostDocs. Next to conducting the research, the PhD student shall publish the results at peer-reviewed conferences, workshops and journals and is expected to produce and defend a thesis or dissertation at the end. PhD studies offer the unique opportunity to deeply dive into a specific topic, devise new approaches and methodologies and to answer questions no one has answered before. With these great opportunities comes a demand for a high degree of personal initiative, self-motivation and responsibility. In Germany, PhD students can take additional courses at the university and attend summer schools to deepen their knowledge in their areas of research, but they commonly do not have to take a specific amount of credit points as in other countries. The duration of a doctorate, i.e., the PhD studies, depends on the students' own progress and other duties such as project work or teaching responsibilities, but one can say that three to five years are typical.