PhD position on Sparse Training for Energy-Efficient Deep Learning

29 Mar 2024
Job Information

Organisation/Company

University of Twente (UT)

Research Field

Technology

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

20 May 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

40.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The main goals of this PhD project are:

• Develop novel sparse training algorithms that improve the scalability and energy efficiency of deep neural networks.
• Investigate the mathematical underpinnings of sparsity in deep learning and its effects on learning dynamics, and generalization.
• Implement and benchmark sparse training methods to scale up deep learning.
• Publish and present research findings in top-tier conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD) and journals (e.g., Machine Learning, JMLR).
• Collaborate with an international team of researchers and industry partners.

The successful candidate will be embedded in the DMB research group, and the supervision will be ensured by Dr. Elena Mocanu and Prof.dr. Maurice van Keulen. This PhD position is part of the Modular Integrated Sustainable Datacenter (MISD) project and will have ample collaboration opportunities. As part of the MISD project effort led by Elena Mocanu, we are opening multiple positions (two Ph.D. candidates and one PostDoc) to join us and work at the interplay of dynamic sparse training in neural networks on various tasks.

Useful links:

• Elena Mocanu webpage
• DMB research group
• MISD project
• Sample of our work on sparsity

Requirements
Specific Requirements

• You are a scientific curiosity driven researcher;
• You have, or will shortly, acquire a master degree in the field of Computer Science, Mathematics, or a related field;
• You have excellent analytical, problem-solving, and communication skills.
• You have excellent coding and math skills (or the willingness and capacity to learn);
• You have the desire to conduct outstanding research and publish in high-quality Artificial Intelligence conferences and journals;
• You have a good team spirit and like to work in an interdisciplinary and internationally oriented environment.
• You are proficient in English

Additional Information
Benefits

• As a PhD candidate at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;
• The University offers a dynamic ecosystem with enthusiastic colleagues;
• Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
• You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);
• There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
• The flexibility to work (partially) from home;
• A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
• Free access to sports facilities on campus
• A family-friendly institution that offers parental leave (both paid and unpaid);
• You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
• We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

Additional comments

Are you interested in this position? Please send your application via the 'Apply now' button below before 20 May 2024, and include:

• A brief motivation letter (maximum 2 pages), emphasizing (a) your individual reasons for desiring this role, (b) a reflective evaluation of your most and least developed skills (optional), and (c) your personal research interests and goals (optional).
• A full Curriculum Vitae, including your contact details, educational background, work experience (if any), publications (if any), and English proficiency test scores (optional).
• Certified copies of degree certificates, with an accompanying detailed list of courses completed and corresponding grades.
• Names and contact details of 2-3 referees (they will be approached only if the candidate is shortlisted).

For more information regarding this position, you are welcome to contact Dr Elena Mocanu ([email protected] )

Website for additional job details

https://www.academictransfer.com/339673/

Work Location(s)

Number of offers available

1

Company/Institute

Universiteit Twente

Country

Netherlands

City

Enschede

Postal Code

7522NB

Street

Drienerlolaan 5

Geofield

Where to apply

Website

https://www.academictransfer.com/en/339673/phd-position-on-sparse-training-for-…

Contact

City

Enschede

Website

http://www.universiteittwente.nl/

Street

Drienerlolaan 5

Postal Code

7522 NB

STATUS: EXPIRED