** Job description

 The research associate position is linked to the EU H2020 project Explore. The overall project aims at developing and contributing to exploit the next generation of Planetary Science data analysis and visualisation. The work is going to be based on the development of machine learning (ML) and advanced visualization tools to achieve efficient, user-friendly, realistic exploitation of scientific data from astrophysics and planetary space missions. The research associate is welcome to pursue a PhD during the appointment.

 - Web development experience
 - Data analytics and data services, preferably using Python
 - Familiarity with DL/ML is an  asset
 - Familiarity with planetary data is an asset

 ** Conditions
 2 years iniital contract, with the possibility of extension  based on funding availability  (19.25 hr/week, limited)

 ** Highlights

  - Funded for 2 years, with possibility of contract extensions
  - International english-speaking environment
  - Working in H2020-Space project (Explore) with international partners -

 Jacobs University Bremen is an international research university located in the North of Germany, close to the North Sea. In an all-english environment students from 100+ nations experience an optimal teacher/student ratio. Not the least, there is a vibrant social life with manifold student clubs and activities. Its Earth and Space Sciences and Computer Science programs scored top CHE rankings. Jacobs University is an equal opportunity employer. More info on:

 For info, please contact:

Dr. Angelo Pio Rossi - Jacobs University Bremen — Department of Physics and Earth Sciences — Campus Ring 1, 28759 Bremen, Germany - an.rossi@jacobs-university.de 


Angelo P


Angelo Pio Rossi
Jacobs University Bremen

With a colleague from the faculty of law at the University of Hamburg, I am organizing a small summer school to explore an emerging topic at the interface of data science and law: algorithmic biases and the fairness of algorithms.

The summer school will essentially be a four-day joint brainstorming session exploring this topic.

Note that due to the small number of slots available for participants we require letters of motivation from each applicant.

As background, see:

Schubert, C., & Hütt, M. T. (2019). Economy-on-demand and the fairness of algorithms. European Labour Law Journal, 10(1), 3-16.

Hütt MT., Schubert C. (2020) Fairness von KI-Algorithmen. In: Mainzer K. (ed) Philosophisches Handbuch Künstliche Intelligenz. Springer Reference Geisteswissenschaften. Springer
[in German]

PDF Summer School Announcement

Best wishes,
Marc Hütt

                        Course Announcements

Introduction to parallel programming with MPI and OpenMP
Online course
12.-15. April 2021 (10:00-16:30)

Single-process optimization and single-node performance engineering
Online course
19.-20. April 2021 (10:00-16:30)

Lecturer: Hinnerk Stüben
Language: English
Registration: by e-mail to <>


The "Bremen Big Data Challenge" starts for the sixth time on March 1st, 2021!
The BBDC is a programming challenge focused on data analysis for all students 
at universities in and around Bremen: You have six weeks to develop clever 
algorithms and analysis methods to find patterns in labeled data and make 
predictions on unseen data. In this year's challenge, you will need to detect 
acoustic events in presence of different background noises correctly. 

The company neuland and Sparkasse Bremen sponsored this year's prize money.
Thanks to their engagement, 500€ are put up for 1st, 400€ for 2nd, 300€ for 
3rd, 200 for 4th and 100€ for 5th place. The challenge-task was created with
the support of the high-profile area "Minds, Media, Machines"
( ).

We are looking forward to your participation!

The most important information at a glance: 

* Only programming skills needed 
* For all students of universities in and around Bremen 
* Individual participants or teams with up to 3 people 
* Prize money ranging from 500€ to 100€ 
* Creditable as the practical part for a computer science seminar (for students
  at the University of Bremen) 
* Launching March 1st and closing April 12th, 2021 
* Organized by the "Cognitive Systems Lab" group of the Fachbereich 3 at
  University of Bremen

Sign up and more information (particularly the conditions of participation) at

You can further find the announcement here:

Kind regards, 

Your BBDC-Team

World Data League 2021

From: Rui Mendes <
Sent: 23 February 2021 08:33
To: GraduateAdmission <>
Cc: WDL Partners <>
Subject: World Data League 2021 - Call for participants



Hello Prof. Frederik Pohlmann,


My name is Rui, and I’m one of the organizers of the World Data League (WDL). The World Data League is a data science competition that wants to solve social-oriented problems. The first edition of the WDL starts this April, and the call for applicants is currently open. 


WDL is an excellent opportunity for the students and researchers at Jacobs University Bremen to develop their skills and network. There is no fee for the participants in this competition. 


Would it be possible to promote this competition amongst your students and researchers in the Data Science field? You can find some materials here


Let me know if you have any questions.


Thank you and have a nice week,

Rui Mendes

Co-Founder / Organiser

+351 963 188 900



Dear Data Engineers,

We cordially invite you to join us during the Jacobs Career Fair – this time online

It is a mandatory CSC component for all second years.


We are expecting another exciting Career Fair, with a wide variety of companies, NGOs and research institutions attending.

Networking is one of the most important ways to secure a future job and get to know of what you really want to do in life!! 


So please join us:


àWhen: March 3, 12:00-18:00

àWheretalentspace online platform. Please register here. 


The exhibitor catalogue shows you which company is interested in which major on page 9.

Also, have a look into the whole program of the Fair.

In order to prepare yourself for the Fair, please have a look into our “How to prepare for a Career Fair brochure”.  


At the Alfred-Wegener Institute (AWI) in the context of the Helmholtz School for Marine Data Science two PhD student positions are available:

See also:
One of these PhD projects is in collaboration with my group.

AI Bremen Data Lounge

We warmly welcome Dr. Ralph Grothmann, SIEMENS AG, who will speak about "Forecasting Customer Demand with Deep Neural Networks".

About this Event

On February 23rd, the BREMEN.AI Data Lounge hosts Dr. Ralph Grothmann, Principal Consultant for Predictive Analytics at Siemens AG. He will give an exciting talk on "Forecasting Customer Demand with Deep Neural Networks – A Data Analytics Use Case from the Siemens Digital Industries Manufacturing Plant in Erlangen"

The session will be held via Zoom. Afterwards, there is the opportunity to take part in an open space discussion via Wonder. The links to enter the session and the virtual discussion room will be provided after a registration. The talk will be recorded and uploaded on our YouTube channel.


  • 6.00 PM  Welcome words from our Host
  • 6.10 PM Keynote // Forecasting Customer Demand with Deep Neural Networks // Dr. Ralph Grothmann // Siemens AG
  • 6.50 PM Ask the Expert
  • From 7 PM Open Space Discussion via Wonder // Drop suggestions here!

About the Talk

The case presented illustrates the application of deep neural networks on forecasting customer demand. Accurate forecasts are crucial for successfully managing the supply chain. During the production process, material and capacities need to be planned in accordance with the expected demand to ensure delivery capability and reliability. By applying deep forward neural networks, demand patterns can be identified in the sales time series of more than 1.000 products in the area of industrial controls. The models use autoregressive as well as seasonal components. Additionally, macroeconomic factors are included to explain the demand fluctuations. The approach incorporates an automated model building, training and evaluation scheme, all of which are implemented in a scalable cloud solution. The forecasts are combined with uncertainty measures to derive decision support for the demand planning department at the Siemens equipment manufacturing plant Erlangen (GWE). 

Ask The Expert

Once the presentation is finished, you will have the chance to engage with our speaker and ask any questions regarding to the talk.

Merck Innovation Cup

Dear Ladies and Gentlemen,


From June 26th – July 2nd, 2021, Merck KGaA, Darmstadt, Germany, a vibrant science & technology company with a more than 350 years long history, will be hosting the 11th edition of the Merck Innovation Cup ( ( near Frankfurt, Germany. In case the pandemic situation would not allow in-person meetings, the event would take place online.


We are inviting post-graduate students and young professionals to apply now – deadline January 31st, 2021.


The Innovation Cup is an initiative for post-graduate students and young professionals in natural sciences, computer sciences, and business administration to attend a training program near Frankfurt, Germany. All travel, food and accommodation expenses are paid by Merck. The Innovation Cup is designed to support the professional development of post-graduate students interested in the pharmaceutical and chemical industry. Participants learn how R&D in the industry works by lectures from Merck managers and scientists. The students will also advance an idea to a full project plan with their team. The event brings together a promising new generation of talent with senior managers and researchers and accomplished retirees in a meeting of the generations. It also provides a unique chance to network with the brightest students from all around the world. Teams will work on innovative projects in the areas of: Oncology, Immuno-Oncology, Autoimmunity, Drug Discovery Technologies, Digitalization, and Pandemic Preparedness. At the first day of the summer camp a conference with alumni from previous editions of the Innovation Cup will be organized. 


Postdocs and post-graduate students on their way towards a PhD in biology, chemistry, physics, medicine, biotechnology, bioinformatics, computer sciences, data sciences, informatics, biochemistry, pharmacy, engineering or related fields are invited to apply. In addition, advanced MBA students or recent MBA graduates with an interest in the pharmaceutical and chemical business and a background in natural sciences are also eligible. 


The participating teams have the chance to win the Innovation Cup award endowed with EUR 20,000 for the most convincing project plan, plus EUR 5,000 for the runner-up.

Most convincing project plans might potentially be implemented and top performing participants be offered a permanent position at Merck.


We appreciate your help in making this unique opportunity visible to students in your organization and network.


Poster and Flyer describing the event:  


U.S./Canada version:  


Please let me know in case we should ship hardcopy posters and flyers to you, happy to do so!


Thank you for your support!


Mit freundlichen Grüßen/Best regards





Dr. Ulrich A.K. Betz

Vice President Innovation

Department Head Future Insight, Merck KGaA

Department Head Strategic Innovation, Merck Healthcare KGaA

Twitter: @ulrichbetz


As part of the SPARTA (Society, Politics and Risk with Twitter Analytics) research project, we are hiring three research associates (either PhDs or postdocs). One position is in computer science, the other two in computational social sciences with a focus on comparative digital campaigning or comparative digital dynamics of riots. We are looking forward to fill the positions (80%) ASAP until December 2024. Deadline for applications is January 15, 2021. More information can be found here: I am happy to answer any questions! Prof. Hilke Brockmann

Also this year I would be able to offer the opportunity for a Data Engineering master student to do their thesis project on a topic from my lab. We are looking for a person who will apply ML algorithms to existing eye tracking data obtained for diagnosing attentional deficits in children and adolescents. In a supervised learning paradigm, the ML algorithm shall be trained to (a) do the correct diagnose, based on comparison with expert diagnose, and (b) to predict intervention outcomes. A dataset with eye tracking data from ~200 patients and respective diagnoses are available and could be split into training and testing data sets.





Prof. Dr. Ben Godde
Professor of Neuroscience                                      

Psychology & Methods

Focus Area Diversity


Bremen AI Data Lounge

About this Event

On December 1, 2020, the Diginomics Research Group of the University of Bremen hosts Dr Michael Engel, Head of Data & AI Product Management at VW Financial Services. The event is co-organized by BREMEN.AI Data Lounge and the Data Science Center.