Vacancies

Professor position on

Systems And Control (Tenure Track/Assistant/Associate Professor)

Faculty/department Mechanical, Maritime and Materials Engineering
Level PhD degree
Maximum employment Maximum of 38 hours per week (1 FTE)
Duration of contract Tenure track
Salary scale €3475 to €5405 per month gross
https://vacature.beta.tudelft.nl/vacaturesite/permalink/599054/?lang=en
Download pdf of vacancy here.

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.
The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in the fields of systems and control at the Delft University of Technology. The Centre's mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation and signal analysis. This undertaking is motivated by advanced technology developments in several (emerging) application fields. Within the data-driven control section of DCSC the focus is on the analysis and decision making for large-scale (in size), multi-disciplinary, dynamical systems. It addresses the question of what model complexity is necessary for all individual system components in order to use data-driven models for reliable and robust model-based diagnostics, parameter estimation, monitoring and control.

Job description

Uncertainty quantification and disturbance modelling are essential parts of the data-driven control cycle of multi-disciplinary systems. They addresses the question of what is possible and what is important, respectively. Therefore, the combination of uncertainty descriptions with multi-disciplinary system models is essential to enable reliable, robust, and efficient decision making. This fundamental framework makes it possible to develop robust, data-driven control systems for demanding industrial application fields, including large-scale mechatronic systems, dynamic positioning systems, and ocean/-wind energy harvesting systems.
Currently, we seek an expert in the field of data-driven modelling and/or control with a solid background in the field of (robust) control engineering and/or nonlinear system identification. Cooperation with other members of the scientific staff and establishing relationships with practitioners are important aspects of this position. You will also contribute to teaching at the MSc and BSc levels. Every new Assistant/Associate Professor is given a tenure-track position.
A tenure track, a process leading up to a permanent appointment with the prospect of becoming an Associate or full Professor, offers young, talented academics a clear and attractive career path. During the tenure track, you will have the opportunity to develop into an internationally acknowledged and recognised academic. We offer a structured career and personal development programme designed to offer individual academics as much support as possible. For more information about the tenure track and the personal development programme, please visit www.tudelft.nl/tenuretrack.

 

Requirements

The successful candidate must have the following qualifications:

  • A PhD degree in systems and control, applied mathematics, mechanical engineering, electrical engineering, or a related field
  • Fundamental knowledge of control systems theory and/or system identification
  • The capacity to communicate effectively with peers, students and stakeholders in the application field
  • An excellent track record in scientific publications, acquisition and management of externally funded research projects, a clear view on required future developments, aiming at a high degree of sustainability in the application field, and experience as a post-doctoral researcher
  • Fluency in English and the willingness to learn Dutch within three years
  • An open personality and good communication skills in English.

 

Conditions of employment

A tenure-track position is offered for six years. Based on performance indicators agreed upon at the start of the appointment, a decision will be made by the fifth year whether to offer you a permanent faculty position. The 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. The TU Delft sets specific standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. Inspiring, excellent education is our central aim. If you have less than five years of experience and do not yet have your teaching certificate, we allow you up to three years to obtain this.

 

Information and application

For more information about this position, please contact dr. J.W. van Wingerden, j.w.vanwingerden@tudelft.nl. To apply, please submit the following:

1) a detailed curriculum vitae that explicitly states your educational record, recent major achievements, list of publications,
2) a separate motivation letter stating why the proposed research topic interests you,
3) a vision on research and education, and
4) the names of three persons who could be contacted for a reference. You may also include other information that might be relevant to your application. Please e-mail your application by 7 January 2018 to Irina Bruckner, application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE17-60.

Postdoc position on:

Data-driven Optimization and Control (Postdoc)

https://vacature.beta.tudelft.nl/vacaturesite/permalink/599025/?lang=nl

Department/faculty: Mechanical, Maritime and Materials Engineering
Level: Unknown
Working hours: 38 hours per week
Contract: 1 year with prospect of extension
Salary: €2588 to €4085 per month gross
U bekijkt een vacaturetekst die opgesteld is in het Engels.
Download pdf of vacancy here.

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation, and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics, and transportation systems.

Job description

The research project focuses on the development of control theoretic tools by advancing algorithmic methods in the emerging field of data-driven optimisation and control. The emphasis will be on the performance and computational aspects of the decision mechanism in the presence of system uncertainties (stochastic environment) and information constraints (distributed nature). The developed methods will be applied to problems motivated by security and privacy of networked cyber-physical systems.

Requirements

Applicants should have the following qualifications:
• An PhD degree in systems and control, operations research, electrical engineering, or a related field.
• Strong mathematical skills and ability to work at the intersection of several technical research domains, in particular control, optimisation, and machine learning.
• Basic programming skills in Matlab are expected.
• Good command of the English language and communication skills.

Conditions of employment

The 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.

Information and application

For more information about this position, please contact Prof. Peyman Mohajerin Esfahani (P.MohajerinEsfahani@tudelft.nl). To apply, please submit the following:
1) a detailed CV including contact information of three references
2) a brief motivation letter (1-2 pages) stating research interests and vision
3) academic transcripts of (under)graduate coursework. 
Please e-mail your application by 1 December 2017 to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME17-59.


Enquiries from agencies are not appreciated.

Model Reduction of Bi-stable Biochemical Systems (Postdoc)

https://vacature.beta.tudelft.nl/vacaturesite/permalink/599162/?lang=nl

Department/faculty: Mechanical, Maritime and Materials Engineering
Level: PhD degree
Working hours: 38 hours per week
Contract: 1 year
Salary: €2588 to €4084 per month gross

U bekijkt een vacaturetekst die opgesteld is in het Engels.
Download pdf of vacancy here.

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation, and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics, and transportation systems.

Job description

Mathematical models describing the kinetics of biochemical reaction networks are becoming increasingly detailed. The large number of coupled nonlinear ordinary differential equations constituting these detailed models complicates analysis of their dynamics, in particular, assessment of stability and bifurcation. Model reduction aims at elimination of complexes and reactions of a detailed biochemical reaction network, thereby producing a simpler biochemical reaction network that still captures the essential dynamics and is accessible for analysis.
This project focuses on model reduction of biochemical reaction networks with bi-stable dynamics, i.e. the state-space contains two stable attractors. Bi-stability is at the origin of many phenomena in (cell) biology, such as cell differentiation. Synthetic biology produces bi-stable toggle switches that enable advanced regulatory and computational functionality. It is therefore of utmost importance that bi-stability is preserved in the model reduction process.
To address these challenges we will develop advanced model reduction methods that exploit structural properties of biochemical reaction networks with bi-stability. The novel model reduction method will be tested on a recently developed and experimentally realised DNA-based toggle switch.

Requirements

Applicants should have the following qualifications:
• A PhD degree in systems and control, applied mathematics, or systems biology 
• A strong interest in mathematical modelling of (bio)chemical systems and the ability to do interdisciplinary research
• Basic programming skills in Matlab
• Good command of the English language and communication skills.     

Conditions of employment

The 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.

Information and application

For more information about this position, please contact Dr. Erik Steur, e.steur@tudelft.nl. To apply, please submit the following:
1) a detailed CV, including contact information of three references,
2) a brief motivation letter (1-2 pages) stating research interests and vision. 
Please e-mail your application by January 8, 2018, to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME17-61.


Enquiries from agencies are not appreciated.

https://vacature.beta.tudelft.nl/vacaturesite/permalink/599162/?lang=nl

PhD position on:

Scheduling Event-Triggered Control Tasks (2 PhD)

https://vacature.beta.tudelft.nl/vacaturesite/permalink/598391/

The vacant position is within the Networked Cyber-Physical Systems (NCPS) research group. This group aims at improving our understanding and control of cyber-physical systems composed of a large number of interconnected and embedded components. Such networks of systems may contain a large number of sensors and actuators that generate a tremendous amount of data to be processed in real-time in order to increase the autonomy of the participating entities, or accomplish a high level of automation. The scientific challenges currently pursued by the team are of multidisciplinary nature and spanning over several application domains such as: distributed and cooperative robotic networks, multi-vehicle systems, aeronautical, space, and automotive applications, thermal-, electricity-, and water-networks and smart energy systems.

Job description

The SENTIENT project will develop efficient scheduling methods for networked control systems implemented in event-triggered form. The objective is to abstract the traffic of such control systems in the form of timed-automata. The resulting models will then be employed in the synthesis of schedulers. The research will require the use of interdisciplinary skills in the fields of control of hybrid systems, communication networks, and timed-automata theory. Two test-beds will be employed in the research, each assigned to one PhD:

• PhD1 will apply his/her research to a wireless control system of a (scaled-down) water distribution network.
• PhD2 will apply his/her research to a control bus in a real-time industrial automotive simulator.   

Requirements

Applicants should have the following qualifications:
• An MSc degree in systems and control, applied mathematics, electrical engineering, computer science, or a related field.
• Basic knowledge of control systems theory (maybe waived if the candidate is particularly skilled in theoretical computer science).
• Strong analytical skills and ability to work at the intersection of several research domains, in particular control systems theory and computer science.
• Basic programming skills in C/C++ are expected.
• Good command of the English language and communication skills.  

Conditions of employment

The 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. The 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 http://graduateschool.tudelft.nl/ for more information.

Information and application

For more information about this position, please contact dr. M. Mazo Espinosa, m.mazo@tudelft.nl. To apply, please submit the following:
(1) a detailed curriculum vitae,
(2) a separate motivation letter stating why the proposed research topic interests you, names and contact information of references, and other information that might be relevant to your application,
(3) academic transcripts of both your BSc and MSc degrees.
Please e-mail your application by 15 November 2017 to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME17-48.


Enquiries from agencies are not appreciated.

Data-driven Optimization and Control (PhD)

https://vacature.beta.tudelft.nl/vacaturesite/permalink/599024/?lang=nl

PhD: Data-Driven Optimisation & Control

Department/faculty: Mechanical, Maritime and Materials Engineering
Level: Unknown
Working hours: 38 hours per week
Contract: 4 years
Salary: €2222 to €2840 per month gross
U bekijkt een vacaturetekst die opgesteld is in het Engels.
Download pdf of vacancy here.

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation, and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics, sustainable energy and transportation systems.

Job description

The PhD project focuses on the development of control theoretic tools by advancing algorithmic methods in the emerging field of data-driven optimisation and control. The emphasis will be on the performance and computational aspects of the decision mechanism in the presence of environment uncertainties (stochastic systems) and information constraints (distributed nature). The developed methods will be applied to problems motivated by security and privacy of networked cyber-physical systems.

Requirements

Applicants should have the following qualifications:

  • An MSc degree in systems and control, operations research, electrical engineering, or a related field.
  • Strong mathematical skills and ability to work at the intersection of several technical research domains, in particular control, optimisation, and machine learning.
  • Basic programming skills in Matlab are expected.
  • Good command of the English language and communication skills.

Conditions of employment

The 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. The 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 graduateschool.tudelft.nl for more information.

Information and application

For more information about this position, please contact dr. Peyman Mohajerin Esfahani (P.MohajerinEsfahani@tudelft.nl) or dr. Tamas Keviczky (T.Keviczky@tudelft.nl). Please e-mail your application by 1 December 2017 to Irina Bruckner, application-3mE@tudelft.nl. The application should include:

  • a letter of motivation (1-2 pages) stating research interests and vision,
  • a detailed CV including contact information of three references, and
  • academic transcripts of (under)graduate coursework.

When applying for this position, please refer to vacancy number 3ME17-58.

Enquiries from agencies are not appreciated.

Model Predictive Control of Uncertain Switching Max-Plus Linear Systems (PhD)

https://vacature.beta.tudelft.nl/vacaturesite/permalink/599023/?lang=nl

Department/faculty: Mechanical, Maritime and Materials Engineering
Level: unknow
Working hours: 38 hours per week
Contract: 4 yearsSalary: €2222 to €2840 per month gross
U bekijkt een vacaturetekst die opgesteld is in het Engels.
Download pdf of vacancy here.

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation, and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics, and transportation systems.

Job description

The switching max-plus-linear (SMPL) system description is a powerful modelling tool for many applications that involve scheduling and synchronisation of cyclic discrete-event systems, such as manufacturing systems, traffic networks, printers, legged robots, queuing systems, and array processors. The switching mechanism of the SMPL system describes the switching of the SMPL system from one mode into another. In each mode the system is described by a max-plus-linear state equation and a max-plus-linear output equation, where a max-plus linear equation is an equation that is nonlinear in the conventional algebra, but linear in the so-called max-plus algebra. In each mode we have different system matrices, which means that in SMPL systems the routing of the events, the event order, and/or synchronisation may change due to uncertain events, state behaviour or due to control actions.
The project aims at developing new insights in the system-theoretical properties of SMPL systems in the presence of uncertainty, and at using this knowledge to develop new model predictive controllers for different types of uncertain SMPL systems. Uncertainty in the system parameters may occur when processing times (production times, transport times) are uncertain. Uncertainty in the switching may happen when routes are uncertain or process failures occur.
The research will require the use of skills in the fields of control of hybrid systems, max-plus linear algebra, graph theory, and stochastics.

Requirements

Applicants should have the following qualifications:
• An MSc degree in systems and control, applied mathematics, mechanical engineering, electrical engineering, computer science, or a related field.
• Basic knowledge of control systems theory (this requirement may be waived if the candidate is particularly skilled in mathematics).
• Strong analytical skills and ability to work at the intersection of several research domains, in particular control systems theory and mathematics.
• Basic programming skills in Matlab are expected.
• Good command of the English language and communication skills are required.

Conditions of employment

The 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. The 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 graduateschool.tudelft.nl for more information.

Information and application

For more information about this position, please contact dr. Ton van den Boom, a.j.j.vandenboom@tudelft.nl.
To apply, please send the following:
(1) a detailed curriculum vitae,
(2) a separate motivation letter stating why the proposed research topic interests you, names and contact information of references, and other information that might be relevant to your application,
(3) academic transcripts of both your BSc and MSc degrees,
(4) publications (if any) and (an abstract of) your MSc thesis.  
Please e-mail your application by 1 December 2017 to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME17-57.

Enquiries from agencies are not appreciated.

Support position on:

Research technician

https://vacature.beta.tudelft.nl/vacaturesite/permalink/599020/?lang=nl

Department/faculty: Mechanical, Maritime and Materials Engineering
Level: Unknown
Working hours: 38 hours per week
Contract: 1 year with prospect of extension
Salary: €2588 to €4084 per month gross
U bekijkt een vacaturetekst die opgesteld is in het Engels.
Download pdf of vacancy here.

Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in groundbreaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, with a European scope that contributes demonstrable economic and social benefits.

The Delft Centre for Systems and Control (DCSC) coordinates the education and research activities in systems and control at Delft University of Technology. The Centre's research mission is to conduct fundamental research in systems dynamics and control, involving dynamic modelling, advanced control theory, optimisation, and signal analysis. The research is motivated by advanced technology development in physical imaging systems, robotics, and transportation systems.

Job description

Our ideal candidate is a technician who is highly skilled in the design, development, manufacturing, maintenance and installation of in-house pioneered scientific opto-mechatronic instruments. Besides active optics and 3D component design experience, an affinity for electronics and (GPU) programming is required. Typical duties include assisting the scientific staff (PhDs, post-docs and professors) in realising state-of-the-art development of scientific instruments. Examples of scientific instruments are lightsheet microscopy, adaptive optics-based high-resolution imaging instruments, 3D and 4D imaging, and super-resolution nanoscopy imaging.
In addition, the technician will be in charge of the development and maintenance of several in-house built or customised, commercial, off-the-shelf, autonomous, unmanned vehicle platforms (UAVs, mobile robots, and small-scale vehicles). He/she will support the scientific staff in developing embedded control software solutions for multi-agent system applications and experimental testing.

Requirements

Applicants should have the following qualifications:
• Degree in physics, optics, engineering, or computer science.
• Good understanding of optical, electrical and opto-mechatronic design concepts.
• Practical knowledge of optics and experimental laboratories.
• Practices, such as 3D printing and Arduino development.
• Familiarity with design software such as SolidWorks, Zemax, among others.
• Experience in ROS.
• Knowledge of programming languages Matlab, Python, Java, C++ will be beneficial as well as GPU programming.
• Excellent communication skills in both Dutch and English.
• Ability to prioritise, plan, and work in a team.

Conditions of employment

The 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.

Information and application

For more information about this position, please contact dr. T. Keviczky, t.keviczky@tudelft.nl. or prof.dr.ir. M.H.G. Verhaegen, m.h.g.verhaegen@tudelft.nl. To apply, please e-mail a detailed CV along with a letter of application by 1 December 2017 to Irina Bruckner, application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3ME17-55.


Enquiries from agencies are not appreciated.