PhD position on Energy-efficient computing with dopant network processing units

31 Jan 2024
Job Information

Organisation/Company

University of Twente (UT)

Research Field

Technology

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

29 Feb 2024 - 22:59 (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

This position is part of the Netherlands Initiative for Energy-Efficient Computing NL-ECO . NL-ECO is inspired by the need for a radical improvement in the energy efficiency of information and communication technology (ICT). This energy consumption is problematically high and is growing to unsustainable levels. The NL-ECO program, part of the Dutch National Science Agenda (NWA), aims to develop new concepts and associated materials for this purpose. In NL-ECO, 33 academic, industrial, and societal organisations join forces on one of the major social challenges; how can the rapidly increasing consumption of energy in ICT be curbed?

In 2020 our group in Twente introduced the concept of dopant network processing units (DNPUs, Nature 577, 341-345 (2020)). These are highly nonlinear silicon-based electronic devices that can be integrated in novel architectures for highly efficient computing. In particular, we see application potential for edge AI, where low power consumption and low latency are key. In this PhD project you will work on the fabrication and characterization of a new generation of dopant network processing units (DNPUs), that can be operated at room temperature and that are suitable for real-life static and time-dependent tasks.

Requirements
Specific Requirements

• You are highly motivated and enthusiastic about energy-efficient computing;
• You have a MSc degree in the field of (applied) physics, electrical engineering or similar with an affection for machine learning;
• You are an independent and original thinker with a creative mindset;
• You are a fast thinker with excellent analytical and communication skills;
• You have good team spirit and like to work in an internationally oriented environment;
• You are experienced with Python and Pytorch;
• You are fluent in English.

Additional Information
Benefits

• As a PhD student 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;
• 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 March 1st 2024, and include:

• CV
• Motivation letter

For more information regarding this position, you are welcome to contact Prof. Wilfred G. van der Wiel ([email protected] ).

Website for additional job details

https://www.academictransfer.com/337223/

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/337223/phd-position-on-energy-efficient-com…

Contact

City

Enschede

Website

http://www.universiteittwente.nl/

Street

Drienerlolaan 5

Postal Code

7522 NB

STATUS: EXPIRED