Open HiWi Positions in Representation Learning @ LSV

[Max Losch]

Open HiWi Positions in Representation Learning @ LSV

The Spoken Language System Group (LSV) has two HiWi positions available. You will be collaborating with our team working on representation learning. The focus of our work is on combining natural language representation learning with world knowledge, where world knowledge can be obtained from either visual inputs (images, video) or graph-structured inputs (knowledge graphs, taxonomies, scene graphs).

Keywords: language modelling, grounding, representation learning, multimodal machine learning

Tasks

• Setting up an eye-tracking experiment for collecting human gaze information.

• Collecting and annotating a corpus of written English with entities and their relationship.

• Writing code in deep learning frameworks to perform evaluation of SOTA methods and models.

• Collaborating with our team on paper writing and implementing ideas.

Requirements

• The candidate should have a Bachelor degree in Computer Science, Computational Linguistics or in a related field.

• The candidate should be familiar with Python and Deep Learning frameworks  such as PyTorch or TensorFlow (preferably PyTorch)

• The candidate should have a strong interest and familiarity with Machine Learning and Natural Language Processing.

Contract Information

• Both contracts are standard 10h HiWi contracts 

• Starting date: As soon as possible 

Contact & Application

Please send your application including your CV and transcripts to Aditya Mogadala ( amog...@lsv.uni-saarland.de ) and Marius Mosbach ( mmos...@lsv.uni-saarland.de ) latest by November 22nd. In case you have any questions feel free to contact us via email.

Please use Open HiWi Position in Representation Learning @ LSV as the subject line.