Job Offer

Position in the project: Master Student

Advisor: dr hab. inż. Jan Chorowski

Scientific discipline: Computer Science, Deep Learning

Project title: Learning Latent Data Structure from Observations

Part time/Full time: Part time

Remuneration: Stipend of 1500 PLN gross

Position starts on: October 1, 2020

Maximum period of stipend agreement: 9 months, with the possibility of extension

Project Details

NCN Opus 18 “Learning Latent Data Structure from Observations”

PI: dr hab. inż. Jan Chorowski, http://ii.uni.wroc.pl/~jch, jan.chorowski@cs.uni.wroc.pl 

Project abstract:

The project revisits modern generative models with the aim to develop new deep representation learning algorithms that will uncover the latent structure of data. Emerged representations will allow high level reasoning, such as automatically identifying entities present in a given sample, their dynamics and mutual relations between those entities. Such algorithms are necessary to scale deep learning methods from behavior mimicry on large labeled datasets, towards truly universal artificial intelligence, able to derive its own representations of previously unseen data

Requirements

The competition is open for persons who meet the conditions specified in the regulations on the allocation of resources for the implementation of tasks financed by the National Science Centre for OPUS 18 grant.

Financed students should be enrolled in a Masters programme and have an undergraduate degree in computer science, mathematics, or in a closely related subject (degree should be obtained prior to the date of employment in the project: October 1, 2020).

Ranking list would be made judging:

• academic achievements, i.e. scientific publications, patents, conference talks and posters, etc.
• research experience, i.e. participation in scientific projects, internships, stipends, awards, participation in Machine Learning conferences and summer schools etc.
• competence related to the project, i.e. experience in deep learning and machine learning.

The following will be considered an asset:

• good knowledge of deep learning methods
• good knowledge of probability and statistics
• knowledge of representation learning methods or probabilistic graphical models
• knowledge of NLP or ASR
• good coding skills, especially in Python,
• knowledge of at least one major deep learning framework
• experience in leading or participating in research projects in the past

Selected candidates may be invited for an interview (in person or videoconference) expected on 16–18 September 2020.

Competition may be closed with recommendation of no candidate if all the applicants would not fulfill the requirements or represent insufficient academic level.

Application Procedure

Please send the following documents to jan.chorowski@cs.uni.wroc.pl by Fri, 11.09.2020:

• Cover letter describing your research interests, and why do you think unsupervised learning is important
• Current Curriculum Vitae
• List of publications or patents
• List of scientific projects
• Copy of Bachelor's diploma (if applicable, or information about the planned date of defense)
• PDF copy of Bachelor's/Engineer’s Thesis
• Recommendation Letter or name and email of a person that can provide recommendation

We will communicate the results via email.

Important Dates

• 11.09.2020: application deadline
• 16–18.09.2020: optional interviews for the selected candidates
• 1.10.2020: start of the programme