Phd Student in Sparse Training for Deep Neural
il y a 2 semaines
The University of Luxembourg is seeking to hire a PhD student in the Department of Computer Science within the newly established group in Machine Learning led by Prof.
Decebal Mocanu.Solving today's scientific and real-world problems requires a new generation of Artificial Intelligence algorithms.
The newly established group in Machine Learning at the University of Luxembourg is currently composed by Prof.
Decebal Mocanu, five PhD students spread across three universities (University of Luxembourg, Eindhoven University of Technology, University of Twente), and three affiliated members on distant time zones.
Hybrid is the usual way of working and the language of communication is English.The group performs fundamental research in:
- sparse neural networks
- scalable and energy-efficient deep learning
- supervised, unsupervised, reinforcement, and continual learning
- various machine learning tasks
In addition, the group has excellent collaborators world-wide and publishes regularly in top scientific venues for Artificial Intelligence such as NeurIPS, ICML, ICLR, IJCAI, AAMAS, ECMLPKDD, GECCO, UAI, Neurocomputing, Machine Learning journal, Transactions on Machine Learning Research, Nature Communications, and so on.
Your Role
:
To this end, one PhD student will be hired to conduct the following tasks:
- Perform high-impact research in the fields of Artificial Intelligence and Machine Learning through the means of Artificial Neural Networks and Sparsity
- Perform teaching activities at the bachelor and master levels hours/year) within the group teaching activities
What we expect from you:
- BSc (graduated) and MSc (graduated or close to graduation) in Computer Science or related fields (e.g., Artificial Intelligence, Machine Learning, Applied Mathematics, etc.)
- Experience in a research environment is a plus
- Communication skills, scientific curiosity, and creative thinking
- Commitment, team working, interpersonal skills and a critical mind
- Good written and oral skills in English
We Offer...
An interesting, diversified, and challenging work in a pleasant environment.
The University offers competitive salaries, social security benefits, 32 days of paid vacation, and is an equal opportunity employer with an exciting international environment.
In Short
:
- Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
- Earliest starting date: 1 July 202
- Work Hours: Full Time 40.0 Hours per Week
- Employee and student status
- Location: Belval
- Job Reference: UOL05700
How to apply
:
- Detailed Curriculum Vitae (in your preferred format), including your contact details, educational record, work experience (if available), publications (if available), and English language test results (optional).
- Certified copies of degree certificates, including a transcript of courses taken (with grades).
We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
In return you will get:
-
Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR).
-
A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure.
-
A partner for society
and industry**. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs
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