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PhD position on:

PhD: Game theoretic Control, Complex Systems of Systems, Operator Theory

Faculteit/afdeling: Faculty Mechanical, Maritime and Materials Engineering
Niveau: Universitair
Functie-omvang: 38.0 uur per week
Contractduur: 4 years
Salaris: 2897 euro per maand (volledige dagtaak)

U bekijkt een vacaturetekst oorspronkelijk opgesteld in het Engels.
Delen kunnen beschikbaar zijn in het Nederlands!          

Faculty 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 department Delft Center for Systems and Control (DCSC) of the faculty Mechanical, Maritime and Materials Engineering, coordinates the education and research activities in systems and control at Delft University of Technology. The Centers' 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. 

Functie omschrijving

The candidates will conduct theoretical and algorithmic research on complex multi-agent systems characterized by the presence of: (i) mixed cooperative and noncooperative agents; (ii) uncertain and stochastic variables; (iii) mixed-integer decision variables. The research will develop and build upon tools from game theory, monotone and fixed-point operator theory, statistical learning, distributed optimization and control. The main application areas are distributed control for smart power grids and multi-vehicle automated driving.

The PhD positions are in the context of the research projects "Complex Network Games: The Scenario Approach" (OMEGA), funded by the Netherlands Organization for Scientific Research (NWO) as TOP grant in Mathematics, and "Game theoretic Control for Complex Systems of Systems" (COSMOS), funded by the European Research Council as ERC Starting Grant.

 

Functie eisen

 

We are looking for 3 talented, outstanding candidates with an M.Sc. degree (or close to completion) in Systems and Control, or Applied Mathematics, Electrical or Mechanical Engineering, or related field, with theoretical background and interest in System Theory, Automatic Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required).

 

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. PhD students will receive a competitive salary and benefits which are in accordance with the Collective Labour Agreement for Dutch Universities. Assistance with accommodation can be arranged.

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 http://www.tudelft.nl/phd for more information. 

 

Informeren en solliciteren

 

Applications shall include the following documents:
• curriculum vitae;
• statement of motivation and research interests (up to one page);
• transcripts of all exams taken and obtained degrees (in English);
• names and contact information of up to three references (e.g. project/thesis supervisors);
• up to two research-oriented documents (e.g. thesis, conference/journal publication).
Applications or inquires shall be emailed to Dr. Sergio Grammatico (s.grammatico@tudelft.nl).

The starting date are flexible. The call for applications will remain open until the ideal candidates are found.

More information: s.grammatico@tudelft.nl, https://sites.google.com/site/grammaticosergio

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

PhD: Adaptive super-resolution at the TU-Delft

PhD positions in adaptive super-resolution at the TU-Delft

Faculteit/afdeling: Faculty Mechanical, Maritime and Materials Engineering
Niveau: Universitair
Functie-omvang: 38.0 uur per week
Contractduur: 4 years
Salaris: 2266 - 2897 euro per maand (volledige dagtaak)

Do you want to be a part of a rapidly growing super-resolution lab, this year awarded with two major grants from the Dutch Organisation for Scientific Research (NWO)? Are you interested in working on the interface between physics, engineering and biology? Would you like to solve real-life problems and build advanced technological systems that can be used by researchers worldwide?

Project: SMART NANOSCOPY OF BIOLOGICAL TISSUES

Advanced imaging methods such as multi-photon excitation microscopy make 3D imaging in thick live tissues possible. If you like tinkering with hardware or the coding of fast computational algorithms to incorporate and extract information from imaging data, then a PhD in super resolution microscopy is just what you are looking for. The projects involve both hardware and software design, and includes the design of high-speed imaging systems, adaptive optics, and software for aberration sensing, deformable mirror control and data analysis.

The 2 positions are:
1. PhD on high-speed adaptive optics systems in super-resolution microscopy
2. PhD on high-speed adaptive algorithms in super-resolution microscopy

You will be part of a research group that aims to increase nanoscopy resolution and robustness so that it can be used within intact live tissue. We believe that the time is right, both technically and conceptually, to make the step from optical microscopy to optical nanoscopy. We break away from the traditional design philosophy of mere addition of optimal components into a system, to instead apply optimal information processing for all components present in the system. The combination of integrated optics and information processing allows us to develop completely new nanoscopy methodologies. During the next few years we will develop new optical methodologies in close collaboration with neuro-scientists who apply them. For us, it's all about creating new innovative methodologies that truly enable leading scientists to discover more about cellular functions and the neural network. That includes making our nanoscopy accessible, easier to use and more automated through smart hardware and data analysis tools.

Functie eisen

Applicants should have the following qualifications:
- A master’s degree or equivalent degree preferably in physics, computer science or control;
- Able to gather and analyse data effectively from different resources to build an eloquent, comprehensible and convincing story;
- Able to manage your time;
- Wide-ranging interdisciplinary interests

and skills:
- Focused and organised;
- Strong interpersonal and communication skills;
- Curiosity;
- Demonstrated ability to apply creativity and out-of-the-box thinking to produce innovative concepts and solutions.

Arbeidsvoorwaarden

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. 

Faculty 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 department Delft Center for Systems and Control (DCSC) of the faculty 3mE, coordinates the education and research activities in systems and control at Delft University of Technology. The Centers' 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. 

Informeren en solliciteren

Sponsored by the Netherlands Organisation for Scientific Research, a program with 2 PhD students has been approved in August 2018. Within this program new super-resolution instruments, integrated image processing, active optics and active laser technology will be developed.

For more information about this position, please contact Dr. ir. Carlas Smith, e-mail: c.s.smith@tudelft.nl.
To apply, please send a letter of motivation with reference to one of the two positions, a complete CV with transcripts of all exams taken and obtained degrees (in English) before 15 December 2018 to Irina Bruckner, e-mail: application-3mE@tudelft.nl.
When applying for this position, please refer to vacancy number 3mE18-73.

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

PhD in High-resolution smart imaging systems for automotive and semiconductor applications

Do you want to be a part of a rapidly growing Control of Scientific Instruments (CSI) lab? This year the CSI Lab was awarded participation in the EU ECSEL (Electronic Components and Systems for European Leadership) project MADEin4. The CSI lab will be involved in the large consortium of over 40 partners to develop new, beyond state-of-the-art solutions for industrial challenges in the fields of Machine Learning, Sensor Fusion, and Computational Optics. These tools should enable European industry to realize the next industrial revolution "Industry 4.0". Industry 4.0 embraces a number of new technologies developed in order to increase the productivity and predictability of industrial processes, such as smart use of data, sensors, and control algorithms. On-line image-based quality control poses several challenges, including environmental conditions, contradicting requirements on the image quality and cycle time, on the image resolution and available data bandwidths, on the defect sizes and the inspected area.

If you like to develop new, beyond state-of-the-art solutions for industrial challenges, if you want to invent new algorithms in the fields of Machine Learning, Sensor Fusion, and Computational Optics, and not scared to try them out on a hardware platform, than a PhD in smart machine vision is what you are looking for.

Applicants should have the following qualifications:

  • Master degree or equivalent degree preferably in physics, computer science or control;
  • Able to gather and analyse data effectively from different resources to build an eloquent, comprehensible and convincing story;
  • Able to manage his/her time;
  • Wide-ranging interdisciplinary interests and skills:
  • Focused and organized;
  • Strong interpersonal and communication skills;
  • Curiosity;
  • Demonstrated ability to apply creativity and out-of-the-box thinking to produce innovative concepts and solutions.

 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.

In accordance with the equal opportunity policy of Delft University of Technology female candidates are in particular invited to apply.

Faculty: Mechanical, Maritime and Materials Engineering (3mE)
Department: Delft Center for Systems and Control (DCSC)
Level: University Graduate
Working hours: 38 hours per week
Contract: Temporary, four years
Salary: € 2325 - € 2972 per month gross

Information and application

For more information about this position, please contact Dr. Oleg Soloviev, Senior research fellow, via e-mail: o.soloviev@tudelft.nl. Applications shall be emailed to: application-3mE@tudelft.nl. When applying for this position, please refer to vacancy number 3mE19-55.

An application dossier consists of the following documents:

  • detailed curriculum vitae and list of publications;
  • a brief statement of motivation and research interests (up to 1 page);
  • academic transcripts of all the exams taken and all the obtained degrees (in English);
  • names and contact information of up to three references (e.g., project/thesis supervisors); 
  • up to three research-oriented documents (e.g., thesis, conference/journal publications).

The starting date is as soon as possible.

The call for applications will remain open until the ideal candidate is found. However, for full consideration please apply by September 1, 2019.

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PhD: Tensor-based methods for large-scale sensor fusion and Gaussian process regression

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