PhD Position in Computer Science Delft University of Technology School of Electrical Engineering, Mathematics and Computer Science

Job Title:PhD Position in Computer Science Department: Faculty Electrical Engineering, Mathematics and Computer Science Level: University Graduate Working hours: 38-40 hours weekly Contract: 4 years Salary: 2325 - 2972 euros monthly (full-time basis) 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 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 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. The Embedded and Networked Systems group is a section in the Software Technology Department. The group's research concerns the software side of embedded systems, which are characterized by their limited visibility, autonomous operation, real-time activities and constrained resources. The group focuses on designing, understanding, and quantifying the fundamental properties of real-world cyber-physical and IoT applications. We perform research on many breakthrough technologies including autonomous cyber-physical systems, real-time systems, robotics, energy-autonomous communications, and visual light communication to name a few. Job description Scheduling and resource management policies play a fundamental role in the performance and quality-of-service of a system since they determine the time at which a task (or a process) starts, accesses the resources, and completes. Cyber-physical systems (CPS), cloud computing, smart manufacturing, and product-line planning are some of the application areas of resource management policies with an increasing need to apply multi-objective, adaptive, and even smart scheduling algorithms in order to provide guaranteed service and more efficient use of resources. The aim of this Ph.D. project is to develope analysis techniques and tools to provide a quantitavie understanding about the system's behavior under the use of such scheduling algorithms. This will be done by developing fast, accurate, and smart solutions to search the space of possible system outputs under the given scheduling (or decision-making) algorithm. Requirements We expect the applicant to • have a master's degree in Embedded Systems, Computer Science, Algorithmic, Artificial Intelligence, or a relevant area • have a good understanding of real-time systems (or being a fast learner) • have good implementation skills in C/C++ • be self-motivated, ambitious, creative, critical thinker, hard worker, and enthusiastic about doing research and having publications in top-ranked conferences • take initiation in the research and be responsible • have excellent skills in oral and written presentation in English (no language certificate is needed). Having expertise in any of the following areas will be considered as an advantage: • machine-learning algorithms • formal methods and formal verification • parallel processing and/or parallel programming Conditions of employment 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. 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. Information and application Please send your application directly to Mitra Nasri, Assistant Professor, m.nasri@tudelft.nl. Your application must be written in English and include: * a cover letter with a brief description of your qualifications, research interests and motivation for applying (max. 1 page) * a curriculum vitae (CV), * copies of relevant degree diplomas and other certificates (if possible) * a list of academic courses with grades * copies of your master thesis and any publications you authored or co-authored (if applicable) * contact information for two academic reference persons The deadline to apply for the position is on 10-06.2019. Applicants will be considered in a first-come-first-serve manner. The position will remain open until an appropriate candidate is found. Applicants with work-permit in Europe will be prioritized. For more information about the position please visit www.st.ewi.tudelft.nl/mitra/positions/phd_2019_march.html Enquiries from agencies are not appreciated. If you apply for this position please say you saw it on Computeroxy Apply

Job Title:PhD Position in Computer Science
Department: Faculty Electrical Engineering, Mathematics and Computer Science
Level: University Graduate
Working hours: 38-40 hours weekly
Contract: 4 years
Salary: 2325 - 2972 euros monthly (full-time basis)

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 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 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.

The Embedded and Networked Systems group is a section in the Software Technology Department. The group's research concerns the software side of embedded systems, which are characterized by their limited visibility, autonomous operation, real-time activities and constrained resources. The group focuses on designing, understanding, and quantifying the fundamental properties of real-world cyber-physical and IoT applications. We perform research on many breakthrough technologies including autonomous cyber-physical systems, real-time systems, robotics, energy-autonomous communications, and visual light communication to name a few.

Job description

Scheduling and resource management policies play a fundamental role in the performance and quality-of-service of a system since they determine the time at which a task (or a process) starts, accesses the resources, and completes. Cyber-physical systems (CPS), cloud computing, smart manufacturing, and product-line planning are some of the application areas of resource management policies with an increasing need to apply multi-objective, adaptive, and even smart scheduling algorithms in order to provide guaranteed service and more efficient use of resources.

The aim of this Ph.D. project is to develope analysis techniques and tools to provide a quantitavie understanding about the system's behavior under the use of such scheduling algorithms. This will be done by developing fast, accurate, and smart solutions to search the space of possible system outputs under the given scheduling (or decision-making) algorithm.

Requirements

We expect the applicant to

• have a master's degree in Embedded Systems, Computer Science, Algorithmic, Artificial Intelligence, or a relevant area

• have a good understanding of real-time systems (or being a fast learner)

• have good implementation skills in C/C++

• be self-motivated, ambitious, creative, critical thinker, hard worker, and enthusiastic about doing research and having publications in top-ranked conferences

• take initiation in the research and be responsible

• have excellent skills in oral and written presentation in English (no language certificate is needed).

Having expertise in any of the following areas will be considered as an advantage:

• machine-learning algorithms

• formal methods and formal verification

• parallel processing and/or parallel programming

Conditions of employment

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.

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.

Information and application

Please send your application directly to Mitra Nasri, Assistant Professor, m.nasri@tudelft.nl. Your application must be written in English and include:

* a cover letter with a brief description of your qualifications, research interests and motivation for applying (max. 1 page)

* a curriculum vitae (CV),

* copies of relevant degree diplomas and other certificates (if possible)

* a list of academic courses with grades

* copies of your master thesis and any publications you authored or co-authored (if applicable)

* contact information for two academic reference persons

The deadline to apply for the position is on 10-06.2019.

Applicants will be considered in a first-come-first-serve manner.

The position will remain open until an appropriate candidate is found.

Applicants with work-permit in Europe will be prioritized.

For more information about the position please visit www.st.ewi.tudelft.nl/mitra/positions/phd_2019_march.html

Enquiries from agencies are not appreciated.