[FILLED] Vacancy: PhD candidate in Efficient Deep Learning

Faculty of Science – Informatics Institute

The Informatics Institute of the Faculty of Science invites applications for a PhD candidate in Efficient Deep Learning for four years. The position is part of the Dutch STW Efficient Deep Learning program.

Project description

The Efficient Deep Learning (EDL) program

The EDL program combines the fields of machine learning and computing: both disciplines are already strong in the Netherlands and now connected by seven Dutch academic institutes and more than 35 other (industrial) partners in- and outside the Netherlands. The EDL program contains seven use case driven EDL research projects: P1) DL as a service, P2) Reconstruction, matching and recognition, P3) Video analyses and surveillance, P4) High tech systems and materials, P5) Human and animal health, P6) Mobile robotics, and P7) DL platforms. The common goal for all seven EDL projects is to significantly improve the applicability of DL among others by creating data efficient training, and tremendously improving computational efficiency, both for training and inference.

Partners in EDL-P4 are the Dutch universities TU/e, UvA and VU, and also Thermo Fischer, Qualcomm (Scyfer), the Netherlands eScience center, ASTRON and SURFsara.

The PhD position

The candidate will work on DL for extreme-scale system health management. In modern radio telescopes, System Health Management (SHM) is crucial for detection and remedying of errors. Scale and complexity of the systems involved are increasing: we must deal with ~100K distributed sensors, huge data volumes and real-time compute requirements (petascale to exascale). The effectiveness and efficiency of current SHM approaches are limited in this context. We will develop semi-supervised and active learning SHM approaches that perform data fusion to combine sensor time series data with system health data (network, HDD, memory, software, logs), deal with the lack of labelled data, and unbalanced and changing labels. This is beneficial for maintenance, operations, and costs, but also crucial for the scientific results, as accurate knowledge of the instruments is essential for calibration.

Although we focus concretely on application of this technology in radio astronomy, similar problems arise in high-energy physics, ecology, life sciences and urban planning (e.g., LHC, Xenon3T, KM3Net). Similar problems occur in large-scale distributed simulations, e.g. in water management, computational chemistry and climate science. Therefore, we will develop generic methods and software.

The candidate will work on the development of energy and resource efficient DL algorithms. She or he will work on implementations to accelerate DL by programmable hardware (e.g. GPUs).

Tasks:

  • conduct interdisciplinary research with a special focus on the design and implementation of novel scalable DL algorithms that deal with extremely large, heterogeneous and sparse data in real time;
  • investigate novel architectures for real-time efficiency and power efficiency at exascale;
  • implement and validate DL-based SHM in radio telescopes;
  • publish in top tier conferences and journals in relevant areas;
  • provide teaching assistance (10%);
  • complete a PhD thesis.

The PhD candidate will work at the Systems and Networking lab of the Informatics Institute at the University of Amsterdam and at ASTRON (Dwingeloo). Regular travelling between the two sites is expected.

Requirements

We are looking for candidates whose skills match with (a large part of) the following profile:

  • an MSc in Computer Science, AI or related disciplines with excellent grades;
  • demonstratable experience with High-Performance Computing (parallel programming, networking, GPUs);
  • affinity with Signal Processing, Machine Learning (ideally deep learning), and a good mathematical background are important;
  • excellent programming skills (in C, C++, Python);
  • a team player who enjoys a multicultural and interdisciplinary environment in which academic-industrial collaboration is central;
  • good communication and organization skills;
  • excellent English language skills (writing and presenting).

Further information

For further information about this vacancy you can contact:

Appointment

The appointment will be full-time (38 hours a week) for a period of four years (initial employment is 18 months). Periodic evaluations will be held after 9 and 14 months. Upon positive evaluation, the appointment will be extended to a total of 48 months. The appointment must lead to a dissertation (PhD thesis). An educational plan that includes attendance of courses, summer and/or winter schools, and national and international meetings will be drafted for the PhD candidate. The PhD candidate is also expected to assist in teaching of undergraduate students.

The salary is in accordance with the university regulations for academic personnel. The salary will range from €2,266 (first year) up to a maximum of €2,897 (last year) gross per month (scale P) based on a full-time appointment. There are also secondary benefits, such as 8% holiday allowance per year and the end of year allowance of 8.3%. The Collective Labour Agreement for Dutch Universities is applicable.

Among other things, we offer:

  • competitive pay and excellent benefits;
  • extremely friendly working environment;
  • high-level of interaction;
  • international environment (10+ nationalities in the group);
  • access to high-end computing facilities (cluster with 4,000+ cores);
  • one of the best AI ecosystems on the planet;
  • new building located near the city center (10 minutes by bicycle) of one of Europe’s most beautiful and lively cities;
  • access to one of the largest radio telescopes in the world (LOFAR) in a beautiful environment (a national park).

Since Amsterdam is a very international city where almost everybody speaks and understands English, candidates need not be afraid of the language barrier.

Job application

The UvA is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We value a spirit of enquiry and endurance, provide the space to keep asking questions and cherish a diverse atmosphere of curiosity and creativity.

You may only submit your application online using the link below. We will accept applications until 21 August 2018. To process your application immediately, please quote the vacancy number 18-453.

The committee does not guarantee that late or incomplete applications will be considered.

In the research statement (see below) you should clearly describe your research vision in relation to the topics that we described, as well as a clear statement which would be your direction of research.

You should also include the following information, in separate PDF files (not zipped), using surname, initials and a self-evident word as file names, e.g., Smith J CV:

  • a curriculum vitae (including a URL allowing download of pdf of MSc. thesis – if relevant);
  • a letter of motivation (at most 1 page) explaining why you are interested in this position;
  • a research statement (at most 2 pages), explaining your research interests and how you think they can be related to the topics mentioned in the Job description above;
  • a list of all university courses taken, including a transcript of grades;
  • the name and contact details (including email address) of three referees who can provide details about your profile (one of whom should be the main supervisor of your Master thesis).

No agencies please

apply here!

 

[CLOSED] Vacancy for a PhD in efficient deep learning

This position is funded by the new NWO-TTW program Efficient Deep Learning, which combines Dutch experts from the Machine Learning and the Computing communities.  The position is shared between the University of Amsterdam and the Vrije Universiteit Amsterdam. 

Project
The NWO-TTW program Efficient Deep Learning (EDL) combines Dutch experts from the Machine Learning and the Computing communities. The program starts mid 2018 and funds about 25 new research positions (mostly PhD students), who will work together with a variety of companies.

Within EDL, project P1: Deep Learning as a Service studies how to develop a service for EDL that makes the application of Deep Learning algorithms less cumbersome. From a scientific point of view, this project is a collaboration between Vrije Universiteit (VU), the University of Amsterdam (UvA), TU Eindhoven, and the Netherlands eScience Center (NLeSC). The techniques that will be developed in this project will be applied in various case studies at companies. The companies participating in P1 are: ING Bank NV, Semiotics Labs, Schiphol, Océ, SURFsara, and Mobiquity Inc.

Henri Bal and I are specifically looking for a PhD student to Study regime transitions and anomaly detection in the financial sector, including smart maintenance of ICT infrastructure and trading  & risk in financial markets.

You will work at VU, UvA, and ING bank.

Requirements
Candidates should have a MSc degree in Computer Science, Artificial Intelligence, Computational Science or closely related area and should be able to work well in teams. Candidates ideally have expertise in both High Performance Computing and Machine Learning/Deep Learning, but PhD-level courses are available if one such expertise is missing.
Successful candidates are expected to write scientific papers for international peer-reviewed journals, present his/her work in international conferences, and finalize the work in a PhD thesis.
The responsibilities of a PhD also include giving a limited amount of teaching.

Further particulars
The initial appointment will be for a period of 1 year. After a satisfactory evaluation of the initial appointment this will be extended for a total duration of 4 years. You may find information about our excellent fringe benefits at www.workingatvu.nl.

• Remuneration of 8.3% end-of-year bonus and 8% holiday allowance;
• participation in a solid pension scheme (ABP);
• a minimum of 29 holidays in case of full-time employment.

Salary
The salary will be in accordance with university regulations for academic personnel, and range from a minimum of € 2,222 gross per month in the first year up to a maximum of € 2,840 gross per month (salary scale 85.0-3) based on a full-time employment.

Application
Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae and two or three references (names and e-mail addresses).
Applications should be sent by email to informatica.secretariaat.few@vu.nl before 24 May 2018. Please mention the vacancy number in the e-mail header.

Information
For more information see:

https://www.vu.nl/nl/werken-bij-de-vu/vacatures/2018/18180ThreePhDpositionsInEfficientDeepLearning.aspx

For additional information please contact me at R.vanNieuwpoort@esciencecenter.nl

Note that there are other PhD positions available as well.

Any other correspondence in response to this advertisement will not be dealt with.

[FILLED] Vacancy for a PhD in reliable exascale computing

The Netherlands eScience Center has a vacant PhD position on
“reliable exascale computing”

The Netherlands eScience Center supports and reinforces multidisciplinary, data and computational intensive research through creative and innovative use of digital technologies in all its manifestations. We stimulate enhanced Science (eScience) by focusing on collaboration with universities, research institutions and industry. We aim to change scientific practice by making large-scale big data analysis and computation possible across multiple scientific disciplines in order to achieve scientific breakthroughs. In this way, we create an effective bridge between scientific research and state-of-the-art digital technologies.

We are looking for an enthusiastic:

PhD student

The position:

The candidate will work in the European funded project PROCESS. The goal is to narrow the gap between user communities and digital infrastructure. The research is driven by 5 concrete scientific and industrial use-cases ranging from astronomy to medical imaging and Big Data analysis for airlines. The PhD candidate will work on defining and developing reliable and scalable techniques for exascale computing.

The candidate is expected to publish his/her results in peer reviewed conferences and journals, which will form the basis of a PhD thesis to be obtained from the University of Amsterdam (promotor Rob van Nieuwpoort, co-promotor Jason Maassen). The candidate will be based at the Netherlands eScience Center in Amsterdam, but is expected to work at least one day a week at the University of Amsterdam.

We require:

  • Academic level;
  • Finished master degree in computer science or equivalent study;
  • Prior expertise in one or more of the following fields: high-performance computing, parallel and distributed programming, Big Data, scientific data processing;
  • Strong programming skills in C, C++, Java, Python;
  • Fluency in oral and written English is required as well as good presentation skills;
  • Capable of working in an interdisciplinary team of researchers and industrial partners.

Working conditions:

We offer a temporary position at the eScience Center for a fixed period of 4 years within the collective agreement for Dutch Research Institutes. The salary is based on the salary scales in the cao-OI, starting at € 2.246,- in the first year and growing to € 2.879,- in the fourth year of employment, with a 38-hour working week. Holiday pay amounts to 8% of gross salary and we also offer a 13th month of salary as an end-of-year payment.

Information:

The eScience Center offers an interesting and challenging position with (additional) options for personal development. You will work in an international team with an informal but creative and ambitious working environment. The main location is Amsterdam (Science Park). Due to the international nature of this project, travelling (mostly within Europe) is expected. The eScience Center has an active diversity policy and would like to hire persons with a background that is underrepresented at the eScience Center. We therefore encourage women and minorities to apply. For more information about this opportunity you can contact Rob van Nieuwpoort, director of technology of the Netherlands eScience Center, by emailing R.vanNieuwpoort@esciencecenter.nl, or by calling +31(0)20 460 4770. Please send your resume and application letter at the latest on January 5th 2018 to vacancy@esciencecenter.nl. Additional information may also be found at www.esciencecenter.nl.