Nandan Mishra Data Engineering ‘19


Data Engineer Alumni Talk, 16th of June, 12-13 CET

Target Group: 1st and 2nd year Data Engineers


Nandan Mishra, Jacobs Alumnus Data Engineering ’19 will give you an insight on:

·        how to apply for internship/working student positions (1st years)

·        how to apply for thesis and full time job (2nd years)

·        general information about residence permit (1st and 2nd years)


Please register on JobTeaser and follow this zoom link to join the event.

Dear students,
A colleague, who recently accepted a professorship for Biodiversity Theory in Oldenburg, has three open PhD student positions, which might be of interest to you.
Best wishes,
Marc Hütt

---------- e-mail by Professor Gross --------------

I am currently advertising three (very attractive) PhD positions, which will form the core of my new lab in Oldenburg. It would be great if you could point the following out to suitable candidates:

It is a currently a major current challenge in ecology to understand the dynamics of ecological communities in a spatial context. One of the major threats to biodiversity is loss and fragmentation of ecological habitats. The hope is that we can conserve biodiversity by connecting remaining patches of habitats, but right now it is not clear which spatial topologies are good for a system. The idea is that understanding the physics of network colonization process will help with this. Hence this project will focus on the dynamics of complex multiplex networks, which has many parallels to co-infection dynamics.

This project focuses on social data analysis, collective decision making and governance. In particular we will focus on coastal regions, marine traffic and decision making related to biodiversity conservation. We use modern data analysis methods to both ecological and social data. In addition mathematical models will be used to explain phenomena seen in the data or to form new hypothesis that can be tested with data sets.

The aim of this project is to gain deeper insights into what biodiversity means for a system and how it can be measured. We have some ideas about new kinds of methods and models. We will focus on small marine organisms such as bacteria and plankton. This makes the modelling easier because such communities lack some complexities of large terrestrial animals. Moreover it allows us to contribute to the study of the earth's microbiome, an ongoing major revolution in biology.

Prof. Dr. Thilo Gross
Professor of Biodiversity Theory
Universität Oldenburg / HIFMB /

[EDIT: Student job 1 + 2 are closed]

Student job 1:

In a research project on disease associated genes I have the following job advertisement for a Data Engineering student (volume 10hrs/week, duration 2-3 months):

Creating a website capable of sending parameter choices to run (existing) python code and then displaying the results on the website.

Note: A simple solution is the 'binder' framework, but this is *not* what we are looking for.


- fundamental python knowledge
- fundamentals of linux knowledge (OS, bash, chmod, path..)
- jupyter notebook knowledge
- fundamentals of python packaging systems or willingness to learn them
- Knowledge of python web frameworks (django or flask) or willingness to learn them
- fundamentals of deploying web code to linux virtual servers or willingness to learn them
- fundamentals of web servers (nginx or apache) or willingness to learn them

Student job 2:

In an industry-funded project on production logistics, which I am supervising jointly with Prof. Yilmaz Uygun, I have the following job advertisement for a Data Engineering student (volume 10hrs/week duration 2-3 months):

Assisting with the (python-based) numerical investigation of a simple prediction algorithm we have been working on (called 'performance enrichment analysis')


- fundamental python knowledge
- fundamentals of machine learning
- fundamentals of scikit-learn
- jupyter notebook knowledge

If you are interested in position (1), please contact Dr. Piotr Nyczka ( with me in cc.

If you are interested in position (2), please contact Dr. Atilla Özgür (a.oezguer@jacobs-university.dewith me in cc.

Best wishes,
Marc Hütt

MIT Course

I came across this course ( that some of 
the MIT PhD students put together for their CS students. Something like 
this would be very useful for the DE students too. At MIT this is a 
course without credits during the intersession !!

provided by Prof. Vikram Unnithan

Application for International Summer School, 6-31 July 2020

Oslo Metropolitan University now accepts applications for the International Summer School scheduled to take place 6-31 July 2020. Courses will be offered through the Department of Computer Science at the Faculty of Technology, Art and Design. For more information about the programme or application process, please visit theOsloMet International Summer School website.   

Applications are accepted until 1 February 2020 If you have any additional questions you can reach the organizers at

Please note that OsloMet reserves the right to offer courses depending on the level of enrolment. We therefore recommend that you make use of the possibility to apply to more than one course.

Feel free to forward this email to anyone interested. 


Best regards,

Pedro G. Lind

Department of Computer Science
OsloMet - Oslo Metropolitan University
Pilestredet 35 PS428

0166 Oslo, Norway
Phone: +47 6723 6924

For those interested in applying for a MSCA fellowship in the field of Data Science and IT at the Oslo Metropolitan University in Norway, I invite you to visit our call for expression of interest for joint application under the European initiative Marie Skłodowska-Curie Individual Fellowship under the topic:
Artificial Intelligence for Building Smart Energy Systems

There you will find all necessary information for applying. For more information about the position, feel free to contact me or Florissa Abreu (R&D and External Funding Support) in cc.

Deadline for application is January 20th 2020.

Feel free to forward this email to anyone interested. 
Best regards,

Pedro G. Lind

Department of Computer Science
OsloMet - Oslo Metropolitan University
Pilestredet 35 PS428

0166 Oslo, Norway
Phone: +47 6723 6924

Dear colleagues,


We are pleased to announce that the2020 recruitment of the Helmholtz Einstein International Berlin Research School in Data Science (HEIBRiDS)  in Berlin, Germany, is now open. We offer ten fully funded PhD fellowships in a collaborative research environment across disciplinary borders. HEIBRiDS projects combine Data Science with applications in Molecular MedicineMaterials & EnergyEarth & EnvironmentGeosciences and Space & Planetary Research and offer excellent research and training opportunities in an international and supportive environment. Successful candidates will conduct their research at one of the partner Helmholtz Centers in the Berlin region or the participating Einstein Center Digital Future (ECDF) partner universities.Topics belong to one or more of the following areas:


  • Machine Learning & Deep Learning
  • Data Management
  • High-throughput Data Analytics
  • Mathematical Modelling
  • Imaging


We offer


  • Cutting-edge research in data science under close supervision of a team of two mentors;
  • Three-year fully-funded fellowships (E13 TVöD or TV-L), with the possibility of a one-year contract extension;
  • Integrated training curriculum of scientific and professional skills courses taught in English;
  • Financial support for conferences and collaborations.


We invite interested candidates who will have a master’s degree in quantitative sciences (Computer Science, Physics, Statistics, or Mathematics) or related applied fields (Bio or Geo-Informatics) latest by July 2020, to apply via our online application portal until February 7, 2020. Interested applicants will find detailed descriptions of the available doctoral projects upon registration to the application portal.


Successful candidates will start their PhD between July and October 2020.

For more information, visit our webpage:


anbei finden Sie Infomaterialien zu der Samsung-Challenge, die Sie auf Ihrem Blog veröffentlichen können.

Hier ist der Link auf ein kurzes Vorstellungsvideo:


Der Link auf unsere Plattform:


Bei weiteren Fragen, können Sie sich gerne bei mir melden.


Vielen Dank für Ihre Unterstützung! 


Beste Grüße

Viktoria Voloshan

AI Experience Seminar

a Jacobs alumnus has informed me about the following one-day seminar in Hamburg and I thought it could be interesting for some of our data engineering students and faculty. Could you please share it with them. The registration is free of charge. 

Attached is the program. 

Best regards,

Dawit Nigatu (PhD)

Research Associate

Transmission Systems Group (TrSyS)

intern in AI:,-Visual-Computing-(f-m-d)/

Note: As I get it, the team has shortlisted two candidates, but they are both outside Germany. So, if we can “quickly” find somebody located in Germany (i.e already has all German papers to be here) with the required technical background, then it’s already a benefit.

Subject: We're hiring students!

Hey Stan!


the guys in our repair development department are looking for savvy students who know their way around machine learning in python or R. It’s one of the most interesting departments and the task they’re looking a student for is super cool. MTU pays a really competitive salary and are ideally looking for someone to write their thesis on (purely for having a model incl. a documentation). I know it’s early in the year but maybe some of the masters students (also perhaps CS) are already starting to look for a topic?


Anyway.. hope everything is fine with and I’d be happy if you have any recommendations J.


All the best!



Mit freundlichen Gruessen / Best Regards

Victor Vican

Digital Transformation Manager

MTU Maintenance Hannover GmbH

Project Management (THDA)
Muenchner Straße 31
30855 Langenhagen

Mobil +49 171 3161806

SMS Data Clallenge 3.0

                   Prof. Dr.-Ing. Katja Windt  Bremen                                                                      24 July2019



ToJacobs University, Bremen




In the scope of the 2019 Data Engineering MSc Graduate Program the following lecture will take place:

SMS Data Challenge 3.0

Data Science meets Steel Industry – an exciting match of heavy metal and high tech

dateFriday, 13 September 2019

time: 09:45 – 11:00 hrs

venueJacobs University, Bremen

Research I, Lecture Hall


The lecture will comprise an introduction to the basic principles of the subject of Data Engineering in general and in particular in steel industry by Prof. Katja Windt.Background information to the connected Data Challenge will be given by Dr. Dirk Lieftucht from SMS digital GmbH, Düsseldorf.

Content of SMS Data Challenge 3.0:

SMS digital presents its third open data challenge.

The task for the participants is to develop an algorithm that is able to detect and measure the occurrence of production defects in the process of casting steel.

Amounts up to 20.000,- EUR in total will be given to the top two participants.

From September onwards, the Data Challenge will bepitched at the Jacobs University in Bremen, and universities in Duisburg and Chelyabinsk, Russia. Mid October, the data set will be available. There will be one Skype call each week to give guidance on the data. Submission deadline of the first round will be mid of November. Our jury selects the Top 10 and those will go into a final at beginning of December. Mid of Decemberthe winners are invited to our headquarters in Düsseldorf.


The colloquium is aimed at all students in the 1st and 3rdsemester of the 2019 Data Engineering MSc Graduate Program.

Future of AI Challenge


for an english description. 

“Future of AI” Challenge

Hast du dir schon einmal Gedanken über die Grenzen von AI gemacht?

ekipa hat für Dich gemeinsam mit Merck die “Future of AI” Challenge gestartet.

Dabei treten Studierende aus den verschiedensten Universitäten und Hochschulen gegeneinander an, um die Grenzen von AI durch ihre innovativen Ideen zu überwinden.  Und du kannst dabei sein!

Auf Basis bestehender, zukunftsweisender Ansätze von Merck werden für die Challenge innovative Ansätze aus den Bereichen Neuro- und Kognitionswissenschaften, Mathematik und Informatik sowie Bio- und Sprachwissenschaften gesucht.

Was Du davon hast?

Neben praktischer Erfahrung und einem Zertifikat für jeden Teilnehmer kannst Du weitere spannende Preise gewinnen: Merck garantiert den besten Teilnehmern ein bezahltes Research Fellowship über mehrere Monate, bei dem ihr die generierten Ansätze weiterentwickelt und auf eine gemeinsame wissenschaftliche Publikationen (auch in Form von Abschlussarbeiten) hinarbeitet. 

Zusätzlich wird ein Preispool von 5.000€ auf die besten Teilnehmer aufgeteilt.

Nicht zu vergessen: Du hast die Chance, mit führenden Experten von Merck zusammenzuarbeiten, wie bspw. dem Global Head of Data Science! 

Wenn du die Zukunft von AI aktiv mitgestalten möchtest, schaue auf unserer Plattform vorbei:

Deadline zur Teilnahme ist der 10. Juni.


Wir freuen uns, wenn Du die UNIVERSITÄTSNAME vertreten wirst!