Job fair/posting and CV

Provided by our Sponsors


Elsevier is a global information analytics business that helps institutions and professionals advance healthcare, open science and improve performance for the benefit of humanity.
We help researchers, clinicians and engineers tackle the biggest challenges facing humankind. Combining content, data and analytics we turn information into answers. With a wide range of technology jobs, commercial and business jobs, and graduate jobs there is a part for everyone to play. We need talented people to help us inspire ground-breaking research.[more]
We aim to make Elsevier a great place to work, where our employees feel valued, have equal opportunities and benefit from pay equality, regardless of their gender identity, national origin, race, neurodiversity, ethnicity, religion, sexual orientation, age, or disability status. For the people who work at Elsevier, our Inclusion and Diversity strategy is focused on accountability and practical action.[more]
We collaborate on data science for meaningful impact. Elsevier’s R&D teams work on research projects with many different academic partners, industry alliances, civil society partners, and governmental organizations across science, technology and health.[more]
Example of open role for a Principal Data Scientist.


At IBM Research, we invent things that matter to the world. Today, we are pioneering the most promising and disruptive technologies that will transform industries and society, including the future of Hybrid Cloud, AI, and Quantum Computing. And looking to the horizon, we are placing big bets on a pipeline of ambitious exploratory science breakthroughs which will be foundational for the future of computing. We are driven to discover. With more than 3,000 researchers in 12 labs located across six continents, IBM Research is one of the world’s largest and most influential corporate research labs.
Apply today
2023 Research Summer Internship


As a leading cognitive intelligence solution provider in the financial technology industry, Memect focuses on document parsing, intelligent information extraction, deep semantic understanding, and correlation analysis of financial texts based on natural language processing.
Memect’s mission is to help our clients efficiently implement business systems, enhance the ability of enterprises to capitalize and improve the efficiency of services of investment banks and regulatory authorities to small and mid-size enterprises (SMEs).
Since its establishment, Memect has served financial institutions such as SSE, BSE, National Equities Exchange and Quotations, Ping An Capital Management, China Merchants Bank, Ping An Bank, and Bank of Ningbo, etc. Memect has won leading awards including IDC Fintech50, CB Insights Fintech50, and KPMG Fintech50.
Job: Senior NLP Algorithm Engineer, Junior NLP Algorithm Engineer


metaphacts is a Walldorf-based high-tech company offering metaphactory – an end-to-end platform to ease the onboarding into the world of enterprise knowledge graphs and which helps customers drive decision intelligence through knowledge democratization. We’re a young, dynamic, and highly motivated international team with flat hierarchies and a startup spirit. Have a look at the metaphacts Career Page to learn about our current job openings!


Founded in 2015, Nanjing Keji Data is a national high-tech enterprise focusing on cognitive intelligence. We have developed knowledge graph products covering the production, operation and application. And we have conducted in-depth cooperation in dozens of multinational pharmaceutical enterprises and large central enterprises.
Senior Algorithm Engineer
Algorithm expert


In the following slots, people from the corresponding sponsors will be available on Please feel free to talk to them if you are interested. 

Sponsor SLOT 1
Date and Time
Date and Time
Date and Time
Elsevier 16:15-16:45, Oct 25 (CEST) 12:00-13:00, Oct 26 (CEST) 13:00-14:00, Oct 27 (CEST)
Metaphacts 13:00-14:00, Oct 27 (CEST) 16:30-17:30, Oct 25 (CEST) 15:00-15:30, Oct 26 (CEST)
IBM Research 16:10-17:20, Oct 26 (CEST) 15:00-16:10, Oct 27 (CEST)