PhD Position Efficient Emerging Memory Devices for Edge Computing

PhD Position Efficient Emerging Memory Devices for Edge Computing Apply

Now

Challenge: High-density and energy-efficient memory crossbar.

Change: Develop novel bio-inspired memory devices.

Impact: Emerging memory chip that inherently incorporates Deep Learning (DL) to enable real-time feature extraction and classification for real-life problems, such as computer vision, voice/image recognition, and data mining.

Job description

Due to the limitations associated with CMOS technology, great research interest has been directed toward deploying emerging memory devices, such as memristor (MR), in DL solutions. MR enables Computation-in-Memory where data storage and computing can be executed at the same cell. Moreover, analog MR devices are considered great asset for artificial neural networks as efficient mapping of neural network algorithms can be translated to MR operations to achieve MR-based DL system. The efficiency of MR devices is hindered by the nonlinearity and stochasticity of the switching events according to the physical and chemical properties of the used switching/oxide materials. Thus, developing novel MR stacks with enhanced switching characteristics can pave the way toward achieving ultra-low power smart edge computing engines that have the significance to be deployed in a wide spectrum of emerging applications.

The Computer Engineering (CE) section of the Department of Quantum & Computer Engineering (QCE) is looking for a motivated candidate inspired to work on the design, fabrication and characterization of novel efficient MR- based crossbar that can provide competitive characteristics to enable smart computing at the edge.

Requirements

For this position, the candidate is expected to have:

Completed a relevant MSc degree in Electrical Engineering or Electronic Engineering or Physics or any other related field;

Good understanding of fabrication and characterization methodologies of high performance and high-density emerging memory devices.

An affinity with teaching and guiding students;

The ability to work in a team and take initiatives.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Additional information

For more information about this vacancy, please contact Dr. Heba Abunahla [email protected]

Application procedure

If you are interested in this position, please apply no later than April 30, 2023 via the application button. Please submit the following documents:

1-page Motivation letter tailored to the position you are applying

Your CV

(part of your) M.Sc. thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Please do not contact us for unsolicited services.

Faculty/Department

Faculty of Electrical Engineering, Mathematics & Computer Science

Job Type

PhD

Scientific field

Engineering

Hours per week

36-40

Salary

€ 2.541,00 - € 3.247,00

Desired level of education

University graduate

Vacancy number

TUD03537

Method of applying

Via system

Challenge: High-density and energy-efficient memory crossbar.

Change: Develop novel bio-inspired memory devices.

Impact: Emerging memory chip that inherently incorporates Deep Learning (DL) to enable real-time feature extraction and classification for real-life problems, such as computer vision, voice/image recognition, and data mining.

Job description

Due to the limitations associated with CMOS technology, great research interest has been directed toward deploying emerging memory devices, such as memristor (MR), in DL solutions. MR enables Computation-in-Memory where data storage and computing can be executed at the same cell. Moreover, analog MR devices are considered great asset for artificial neural networks as efficient mapping of neural network algorithms can be translated to MR operations to achieve MR-based DL system. The efficiency of MR devices is hindered by the nonlinearity and stochasticity of the switching events according to the physical and chemical properties of the used switching/oxide materials. Thus, developing novel MR stacks with enhanced switching characteristics can pave the way toward achieving ultra-low power smart edge computing engines that have the significance to be deployed in a wide spectrum of emerging applications.

The Computer Engineering (CE) section of the Department of Quantum & Computer Engineering (QCE) is looking for a motivated candidate inspired to work on the design, fabrication and characterization of novel efficient MR- based crossbar that can provide competitive characteristics to enable smart computing at the edge.

Requirements

For this position, the candidate is expected to have:

Completed a relevant MSc degree in Electrical Engineering or Electronic Engineering or Physics or any other related field;

Good understanding of fabrication and characterization methodologies of high performance and high-density emerging memory devices.

An affinity with teaching and guiding students;

The ability to work in a team and take initiatives.

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Conditions of employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2541 per month in the first year to € 3247 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Additional information

For more information about this vacancy, please contact Dr. Heba Abunahla [email protected]

Application procedure

If you are interested in this position, please apply no later than April 30, 2023 via the application button. Please submit the following documents:

1-page Motivation letter tailored to the position you are applying

Your CV

(part of your) M.Sc. thesis or a paper that you have written, in which you demonstrate your writing (and scientific) skills

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Please do not contact us for unsolicited services.