荷兰特文特大学博士后职位—可扩展的高能效深度学习

荷兰特文特大学博士后职位—可扩展的高能效深度学习

特文特大学（英文：University of Twente；荷文：Universiteit Twente），简称UT，曾译为屯特大学，也称特温特大学，创建于1961年，位于荷兰恩斯赫德市，是荷兰著名的研究型大学，系4TU成员、欧洲创新大学联盟（ECIU）成员。

Postdoc position on Scalable Energy-Efficient Deep Learning

University of Twente

Netherlands

May 20, 2024

Contact:N/A

Offerd Salary:€ 3.877

Location:N/A

Working address:N/A

Contract Type:Other

Working Time:Full time

Working type:N/A

Ref info:N/A

The successful candidate will be involved in cutting-edge research aimed at developing scalable sparse deep learning models that are not only powerful but also energy-efficient. This position offers the unique opportunity to contribute to high-impact projects, collaborate with world-renowned experts in the field, and publish in top-tier journals and conferences.

Key Responsibilities:

·  Design and implement scalable, energy-efficient deep learning algorithms.

·  Conduct rigorous experimental evaluations to benchmark the performance and energy efficiency of the developed models.

·  Collaborate with interdisciplinary teams to apply these models to real- world problems in areas such as natural language processing, computer vision, and more.

·  Publish and present research findings in leading scientific journals (e.g., Machine Learning, JMLR) and conferences (e.g., NeurIPS, ICLR, ICML, IJCAI, AAMAS, ECMLPKDD).

·  Contribute to the mentoring of graduate students and junior team members.

The Postdoctoral Researcher will be embedded in the DMB research group headed by Prof. dr. Maurice van Keulen and the supervision will be ensured by Dr. Elena Mocanu. This 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 sparsityYour profile

The ideal candidate we are looking for has:

·  A PhD in Computer Science, Mathematics, Computational Neuroscience, or a related field, with a strong background in deep learning.

·  Demonstrated experience in developing and optimizing deep learning models, with a focus on scalability and energy efficiency.

·  Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.

·  Strong publication record in reputable journals and conferences.

·  Excellent analytical, problem-solving, and communication skills.Our offer

·  You will be appointed for a period of maximum 3 years full-time within a very stimulating 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);

·  Gross salary between € 3.877,- and € 5.090,- per month depending on experience and qualifications;

·  Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;

·  The flexibility to work (partially) from home;

·  Free access to sports facilities on campus

·  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.

·  Excellent support for research and facilities for professional and personal development.

·  We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.

·  e are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.Information and application

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

·  A detailed CV including a list of publications.

·  A brief cover letter (maximum 2 pages) highlighting your research interests and suitability for the position.

·  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 Elena Mocanu (e.mocanu@utwente.nl)

About the department

Our DMB collective stands by its diversity, inclusivity, and interdisciplinary composition. We are doing research at the forefront of advancements in machine learning, deep learning, and computer vision to advance scientific knowledge and societal welfare in a large spectrum of data science applications. We disseminate our research findings through publications in leading conferences (such as NeurIPS, ICLR, ICML, AAMAS, and CVPR) and prestigious journals (e.g. Nature Communications, Machine Learning, etc.).

About the organisation

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

Want to know more?Mocanu, E. (Elena)

Assistant Professor

Mocanu, E. (Elena)

Assistant Professor

Do you have questions about this vacancy? Then you can contact Elena for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

Contact

Phone:+31534898596

Email:e.mocanu@utwente.nl

How to applyStep 1

Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Step 2

Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview. In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer. If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.

Your ColleaguesSmit-van Veen, F.A.M. (Fiona)

Personal page

·  Rijken, J. (Jitske)

Personal page

·  Kok, J.N. (Joost)

Personal page

·  Our mission Human Touch

At the UT it's all about people, in line with our university's High Tech Human Touch philosophy. In everything we do, the well-being and future of our students and staff are paramount. From research and teaching to personnel management, campus management and the use of new technologies.

·  Our mission We are a university of technology

Our university is a public institution that serves society. We are accountable to society for the ways in which we use our academic freedom. We are responsible for ensuring that the power of science and technology is harnessed to achieve the best possible impact in a changing world. We cherish our rich tradition of combining technical and social sciences in our five profiling themes: Improving healthcare by personalized technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.

·  Our mission We help to strengthen society

We help society meet the challenges of today and tomorrow. But we are also transparent about what science and technology can and cannot do in finding sustainable solutions. And help translate these solutions into everyday life.

·  Our mission We are sustainable

We want our communities to flourish and show resilience, so we seize opportunities for innovation. We are knowledgeable and have an eye for what society needs. Our students and staff receive all the guidance they need in their quest for ecological, social and economic sustainability. “The University of Twente is all about people. Our sustainable technologies help to strengthen society.”

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