ADS Research Assistant Vacancy: Multimodal Evidence of Concept Drift

1 x 0.2 FTE Research Assistant for Amsterdam Data Science Project on Multimodal Evidence of Concept Drift

 

We are looking for a highly motivated research assistant who is working towards a Master in Computer Science, AI or Information Science. The ideal candidate has a strong software development background, knowledge of NLP and Linked Data technologies and a keen interest in deep learning.

You will work under the supervision of Desmond Elliott (ILLC, UvA) and Laura Hollink (CWI) to develop methods that combine evidence from text, structured data and images for concept drift detection. For example, images of Hillary Clinton as the First Lady may depict her engaging in humanitarian issues, compared to her current visual representation: giving speeches behind podiums, wearing strong suits, and meeting hundreds of people at rallies.

You will use deep neural networks to learn features over multiple modalities, based on the hypothesis that a joint model of textual, structural and visual concepts will predict better concepts than a unimodal or a bimodal model.

Desirable experience:

  • NLP or Computer Vision background (and willingness to learn about the other topic.)
  • Experience with Theano / Torch programming for Deep Learning
  • Web development experience with Django / Flask
  • Excellent writing skills

Send applications to d.elliott@uva.nl with the subject “ADS 2016 Application”. Include a statement of motivation, your CV, and your academic transcript.

Amsterdam Data Science (ADS) is a collaborative initiative of the UvA, CWI, HvA and VU involving over 250 scientific researchers. ADS provides a network to connect expert researchers from business, humanities, informatics, life sciences and social sciences and actively promotes collaboration across disciplines, research institutes and industry within the Amsterdam region and beyond.

Read More

  • Peter Boncz appointed ACM Fellow

    CWI researcher Peter Boncz has been appointed as one of the 2022 fellows of the Association of Computing Machinery (ACM).

  • Winners of the ADS Thesis Awards 2022

    The ADS Thesis Award winners for 2022 are Philipp Sommerhalter and Sarah Kwakkelaar in the BSc category and Krijn Doekemeijer and Julia Sudnik for the MSc category. The winners were announced at the ADS Highlights Event on the 8th of December 2022!

  • Symposium in honor of Cees de Laat and Leon Gommans

    A symposium entitled ‘From Systems and Networks to Complex Cyber Infrastructures’ took place on 9th December 2022 in honor of Cees de Laat (UvA IvI) and Leon Gommans (UvA IvI).