PhD TA on Algorithm Engineering

PhD TA on Algorithm Engineering

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Are you inspired by algorithmic and optimization-based approaches to real-world problems? Passionate about designing and implementing algorithms and investigating their practical performance? Join us to support the energy transition by addressing its design and planning challenges.

Position: PhD Student

Irène Curie Fellowship: No

Department(s): Mathematics and Computer Science

FTE: 1.0

Date: 15/09/2024

Reference number: V32.7706

Job Description

As a PhD candidate, you will develop new models, algorithms, and systems to tackle the design and planning challenges of the energy transition. You will focus on combinatorial and geometric optimization (e.g., fitting solar panels, routing power distribution lines). While classical algorithms may solve simplified versions of these problems, they often lack realism for practical application. Your task will be to develop more practical solutions involving algorithm design, analysis, and engineering.

You will join the Algorithms (ALGO) cluster, which studies the design and analysis of algorithms and data structures, a core area within computer science. Our research ranges from curiosity-driven to application-motivated, and from purely theoretical to experimental. The goal is to understand the underlying principles of the developed solutions and to formally prove their properties. Our approaches frequently combine rigorous methods from algorithmic theory, providing performance guarantees for both solution quality and algorithm running time, with efficient engineering to achieve results of both theoretical and practical significance.

This PhD position is for 5 years, with 25% of your time dedicated to educational tasks.

Job Requirements

  • A master’s degree (or equivalent) in computer science.
  • A research-oriented attitude.
  • Motivation to develop teaching skills and coach students.
  • Fluency in spoken and written English (C1 level).

Conditions of Employment

You will work in a dynamic and ambitious university, in an interdisciplinary setting within an international network. Our beautiful, green campus is within walking distance of the central train station. We offer:

  • Full-time employment for four years, with an intermediate evaluation after nine months. You will spend 10% of your time on teaching tasks.
  • Salary and benefits in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,872, max. €3,670).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and support to become a self-aware, autonomous scientific researcher. At TU/e, we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care, and sports facilities.
  • Allowances for commuting, working from home, and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Information and Application

About Us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration results in an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for today’s and tomorrow’s complex problems.

Curious to hear more about being a PhD candidate at TU/e? Please view the video.

Information

Do you recognize yourself in this profile and want to know more? Please contact the hiring manager, Dr. Thomas C. van Dijk, at t.c.v.dijk@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR services at HRServices.M&CS@tue.nl.

Interested in working at TU/e? Visit our career page.

Application

Submit a complete application using the apply button. Your application should include:

  • A cover letter describing your motivation and qualifications for the position.
  • A curriculum vitae, including a list of any publications and the contact information of a reference.

We will screen applications as soon as possible. Applications received by 15 September will receive full consideration. The vacancy will remain open until the position is filled.

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Job Overview

PhD TA on Algorithm Engineering