TU Delft

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Originele vacaturetekst

PhD position ICAI AFR - Deploying ML Models at Scale track

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.

The Department of Software Technology (ST) is one of the leading Dutch departments in research and academic education in computer science, employing over 150 people. The department ST is responsible for a large part of the curriculum of the bachelor’s and master’s programmes in Computer Science as well as the master’s programme in Embedded Systems. The inspiration for its research topics is largely derived from technical ICT problems in industry and society related to large-scale distributed processing, embedded systems, programming productivity, and web-based information analysis.

Functie omschrijving

Machine learning techniques have seen a tremendous increase of adoption over the last decade and this growth has been fueled by both advances on the algorithmic level and the ability to leverage hardware acceleration for making the algorithms run at scale. However, as ML models increasingly supplement or replace traditional business logic in decision making processes, it is critical to develop an understanding of how machine learning can be deployed at scale. Important considerations are the deployment, testing, and long-term maintenance of models. The goal is to investigate the systems aspects (performance, scalability, efficiency, reliability, etc.) and building tools for automating this process.

Functie eisen

Candidates are expected to have experience in writing efficient code and conducting scientific evaluations through experimentations. The position is for our four-year PhD program and remuneration follows the COA (collective labor agreement) for Dutch universities. The selected candidate will work in close collaboration with the ICAI Center AI for Fintech Research, a joint initiative of TU Delft and ING bank. The collaboration with ING provides the PhD with the opportunity to work on real-world use cases and challenges.

Our department is committed to the principle of equal employment opportunity for all employees and we strive to building a team that represents a variety of backgrounds, perspectives, and skills. We explicitly encourage suitable candidates of all genders and with disabilities to apply.

Arbeidsvoorwaarden

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (salary indication: €2325-€2972).
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Informeren en solliciteren

For information about this vacancy, you can contact dr. J.S. Rellermeyer, Assistant Professor, email: j.s.rellermeyer@tudelft.nl.

For information about the selection procedure, please contact Dr.ir. C.A.Reijenga, HR-Adviser, email: vacancies-eemcs@tudelft.nl.

To apply, please send by e-mail an application letter, a curriculum vitae, transcripts of BSc and MSc degrees, copies of BSc and MSc diplomas, proof of language skills if applicable, and the names of two references by August 28, 2020 to Dr.ir. C.A. Reijenga, vacancies-eemcs@tudelft.nl, mentioning vacancy number TUD00390.

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

Acquisitie naar aanleiding van deze vacature wordt niet op prijs gesteld.

Uren:
38-40 uur per week
Type vacature:
Intern

Vaardigheden

  • Er is geen minimale opleiding vereist
  • Voor deze functie is er geen minimale werkervaring vereist