PhD position in IC Design group

 

The University of Twente (UT) is located in the east of the Netherlands. It offers a dynamic campus, excellent facilities and the possibility to work in- and with- famous research groups.

Professor Bram Nauta’s Integrated Circuit Design (ICD) group focuses on various aspects of analog and Radio Frequency (RF) Integrated Circuits (IC). The group's motto is “fundamental solutions for practical problems” and under this vision, it has contributed many fundamental new ideas in circuit design. The IC Design group has made high-impact inventions in analog filters, thermal noise cancelling amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling phase locked loops. The group is a world leader and initiator of many new research directions which also find their application in industrial products. The group has a strong collaboration with the global semiconductor industry.

Are you interested in a PhD position at the ICD group?

We have access to advanced CMOS fabrication technology nodes and a well-equipped laboratory for evaluation of test-chips. We offer a very collaborative atmosphere and you will benefit from our broad knowledge and experience. A team of well-known professors in the field (professors Bram Nauta, Eric Klumperink, Anne-Johan Annema, Ronan van der Zee and Mark Oude Alink) will supervise you in this position.

Since we will invest a lot of our time in your education, development and career, we have to be very selective in our admission process for PhD students.

YOUR PROFILE

You are highly motivated and an enthusiastic researcher;

You have a MSc degree with excellent grades in Electrical Engineering,  with a specialization in Analog or RF design;

You are an independent and original thinker with a creative mindset;

You are a fast thinker with excellent analytical and communication skills;

You have good team spirit and like to work in an internationally oriented environment;

You are fluent in English.

OUR OFFER

This is a general and open call for PhD applications. We normally have open PhD positions available through the year, however we do not list every open position separately. Accepted candidates can start their PhD project anytime during the academic year.

As a PhD student at the UT, you will be appointed on a fulltime position for four years, with a qualifier in the first year, within a very stimulating scientific environment;

The university offers a dynamic ecosystem with enthusiastic colleagues;

Salary and conditions are in accordance with the collective labour agreement for Dutch universities (CAO- NU); You will receive a salary ranging from €2.395,- gross per month at the start to €3.061,- in the fourth year;

Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;

A training program in which you and your supervisor will make up a plan for additional suitable education and supervision;

We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.

INFORMATION AND APPLICATION

Please note: you are required to apply via the "apply now" button below, ánd to fill in an additional questionnaire before via this link: https://forms.gle/ms3PXHnbzQ136mqj8 before we can process your application.

Include in your application:

a motivation letter, emphasizing your specific interest and motivation to apply for a PhD position in our group

a detailed CV (resume) and a publication list;

contact details of at least 2 referees

an academic transcript of B.Sc. and M.Sc. education, including grades

a TOEFL or IELTS score to verify sufficient mastering of the English language

an assessment may be part of the application procedure.

For more information about this open vacancy, please contact our secretary Mrs. Gerdien Lammers g.lammers@utwente.nl.

ABOUT THE ORGANIZATION

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

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PhD on human-AI team collaboration at work

 

Are you interested in investigating how teams collaborate with AI-systems at work, to understand when and why users are (un)willing to adopt these systems in their work routines, and what happens when things don’t go as planned?

Come join our international and interdisciplinary team to research the future of teamwork.

The project
In many organizations and across industries, artificial intelligence (AI) is transforming the way we work. AI-systems are implemented to assist employees with decision making, to decrease workload, or to increase efficiency. As their level of intelligence increases, collaboration between humans and AI systems becomes more common and interdependent. Consequently, the role of the AI changes, transforming from a technology used as a tool to full team members.

Especially in non-routine or disrupted conditions, team collaboration in human-AI teams may unfold differently compared to all-human teams. On the one hand, AI may allow for better adaptive responses, but there may also be negative consequences, for example when the AI’s input is ignored or circumvented. But what happens when we get more used to these new types of teams? Will human and AI teammates be able to develop mutual understanding and trust?

To successfully implement human-AI teams in organizational settings, it is critical to understand how users adapt to these new collaborative settings. The goal of this PhD-project is to address these issues by answering the following questions:
(1) How does shared cognition and trust in human-AI teams develop?
(2) How do human-AI teams adapt to change?

Your role in this project

Within this project, you will:

• further develop the project proposal based on academic literature, and in collaboration with industry partners
• design and execute empirical (field) studies
• design and execute lab/online experiments
• statistically analyze data obtained from field studies and experiments and report on results
• communicate practical implications of your research to specific stakeholders/the general public
• present the findings of your research at (inter)national scientific conferences
• conduct research at one of our collaborators’ universities abroad
• publish papers in internationally renowned academic journals

The Human Performance Management (HPM) Group of the School of Industrial Engineering, in collaboration with the Eindhoven Artificial Intelligence Systems Institute (EAISI), is looking for a PhD-student on human-AI collaboration at work (4-years; 1.0 FTE).

The School of Industrial Engineering is one of the longest-established IE Schools in Europe, with a strong presence in the international research- and education community, and an extensive network of industrial partners. Operations Management and Operations Research are at the core of the undergraduate IE program. The graduate programs (MSc and PhD) in Operations Management & Logistics and in Innovation Management attract top-level students from all over the world. Researchers participate in industrial activities with members of, amongst others, the European Supply Chain Forum.

Human Performance Management (HPM) at TU/e develops scientific knowledge and tests theories that uncover and explain (psychological) processes contributing to performance at the organizational, team, and individual level. By examining the ‘people factor’ in operational and innovation processes, HPM aims to ensure that employees can help in bringing organizational strategies to fruition in the most rewarding and efficient way possible.

The Eindhoven AI Systems Institute (EAISI) combines all TU/e Artificial Intelligence activities. Top researchers from various research groups work together to create new and exciting AI methodologies and applications with a direct impact on the real world. TU/e has been active in the field of AI for many years, which gives the new institute an excellent starting position to build upon.

Job requirements

• Recently completed (or be close to completion of) a Master's degree in Work & Organizational Psychology, Management Science, Cognitive Science, Industrial Engineering, or related fields.
• Demonstrable experience in conducting empirical and/or experimental research, including knowledge of and demonstrable experience with applying (state of the art) statistical techniques.
• Demonstrable affinity with relevant topics, such as AI, teams, trust, and/or adaptation is appreciated.
• Good organizational skills and a proactive work orientation.
• Excellent mastering of the English language and good communication and writing skills. Note that there is no Dutch language requirement.

Conditions of employment

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
• To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
• To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• Should you come from abroad and comply with certain conditions, you can make use of the so-called ‘30% facility’, which permits you not to pay tax on 30% of your salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

More information

Do you recognize yourself in this profile and would you like to know more this position? Please contact 
dr. Anna-Sophie Ulfert-Blank (a.s.ulfert.blank[at]tue.nl).

More information about the HPM group can be found at https://www.tue.nl/en/research/research-groups/human-performance-management/. Information about the EAISI can be found at https://www.tue.nl/en/research/institutes/eindhoven-artificial-intelligence-systems-institute/.

For information about terms of employment, click here or contact contact Susan Opgenoorth, personnel officer (pz.ieis[at]tue.nl).

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications (if available) and the contact information of three references.
• Brief description of your MSc thesis.

We look forward to your application and will screen it as soon as we have received it.
Screening will continue until the position has been filled.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

APPLY NOW

PhD in 3D printing of high performance biomaterials for regenerative medicine

 

Are you fascinated by regenerative medicine and 3d printing? Are you eager to work in multidisciplinary environment with material scientists, mechanical engineers and biologists?
We seek to hire a PhD to develop innovative 3D printing technologies that will allow the fabrication of high-performance biomaterials for regenerative medicine.

Regenerative medicine (RM) holds great promise to treat a number of chronic diseases. One of the RM strategies, consists on applying biomaterial implants that can catalyse the regenerative power of a person’s own body. Unfortunately, despite almost two decades of intensive research, fabrication of biomaterial implants that could reinforce (and eventually drive) diseased tissue and organs regeneration capacity remains a challenge.

It has become clear that 3D printing technologies can play a decisive role in the fabrication of biomaterial implants for RM. 3D printing encompasses a large toolbox of different fabrication strategies being the most well established classified as droplet, extrusion, laser- and light- assisted printing. Each of these strategies have different working principles which have their own associated merits and drawbacks with regards to resolution and material selection. Up to now, engineers have been mostly restricted to adopting a single printing strategy based on the target biological structure. What was observed, however, was the fabrication of predominantly homogeneous materials that do not get close to the heterogenous composition and hierarchical structure observed in biological materials. A recent body of literature points out that the simultaneous use of complementary 3D printing processes could allow the strategic arrangement of multiple material compositions at different length scales. Furthermore, in a decade of exponential growth of information technologies, it is expected that numerical technologies and digital design will play a key role in developing high performance biomaterial implants.  For example, machine learning approaches can be used to identify new material designs and correlate material printing accuracy to print parameters; while integrated computer models of biosystems and numerical optimisation techniques could be the key for fast and reliable manufacturing of functional biomaterials.

In this project you will develop design and processing tools that move away from the conventional biomaterial science paradigm (that links structure-process-property) towards a more complex ‘printomics’ approach that breaks materials into its building blocks; describe function based on interplay of building blocks and builds their form using advanced 3D printing processes. You will contribute to a junior multi-disciplinary team of materials scientists, mechanical engineers and biologists. Together we will strive to understand how function (and failure) in both mechanical and degradation contexts of a biomaterials system can be optimized by linking design with 3D printing; and how to develop 3D printing processes that can achieve the multimaterial combinations and resolution requirements observed in biological materials.

About Eindhoven University of Technology (TU/e)
TU/e is a University of Technology with a focus on Health, Energy and Mobility. Within the Health area, several departments cooperate on topics such as Chemical Biology, Regenerative Medicine, Computational Biology, and Biosensing, with close links to healthcare and industry. TU/e is an open and inclusive university with short communication lines. The people are curious, collaborative, and strive for excellence. TU/e enables its academic staff to develop research and education at an internationally renowned level. Our lively campus community facilitates connections between staff and students, in an open, friendly, vibrant atmosphere that welcomes and inspires.

Biomedical Engineering
The Department of Biomedical Engineering (BME) offers a research driven BME Bachelor program and Masters in Biomedical Engineering and Medical Engineering in its Graduate Program. Its research areas range from Molecular Bioengineering and Imaging, Biomechanics and Tissue Engineering to Biomedical Imaging and Modelling. The department has more than 800 students and up to 200 tenured and non-tenured employees.

The project will be mainly carried out at the Orthopeadics Biomechanics group within the Department of Biomedical Engineering. The project will take advantage from the existing infrastructures and flourishing areas of high-tech and information technologies at the TU/e and will benefit from collaborations with Mechanical Engineering Department and Artificial Intelligence group from the Department of Mathematics and Computer Science.  

Besides research you will also contribute to education within the department of Biomedical Engineering. Apart from supervising BSc and MSc students in their research projects, other assistance in education, e.g., in bachelor courses, is usually limited to around 5% of your contract time.

Job requirements

• A master’s degree (or an equivalent university degree) in Mechanical Engineering, Biomedical Engineering or a related subject.
• Previous experience in 3d printing, electromechanical technologies, manufacturing and systems engineering, programming (Matlab, Pyton), biomaterials development and processing, regenerative medicine, would be highly advantageous.
• Being enthusiastic with experimental work
• A research-oriented attitude.
• Ability to work in a team and interested in collaborating with industrial partners.
• Excellent in spoken and written English.

Conditions of employment

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
• To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
• To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• Should you come from abroad and comply with certain conditions, you can make use of the so-called ‘30% facility’, which permits you not to pay tax on 30% of your salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

More information

Do you recognize yourself in this profile and would you like to know more? Please contact
dr. Miguel Castilho (m.dias.castilho[at]tue.nl) or dr. Sandra Hofmann (s.hofmann[at]tue.nl).

For information about terms of employment, click here or contact Mrs. Sascha Sanchez,
HR advisor, s.j.m.g.sanchez.van.oort[at]tue.nl or HRServices.Gemini[at]tue.nl.

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.
• Brief description of your MSc thesis and Master’s grades

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

APPLY NOW

PhD on Modeling of magnetically actuated microstructures in soft materials

 

We are looking for a PhD student for a four-year research project on the topic of numerical modeling of magnetically actuated microstructures as in-situ sensors for characterizing local (bio)mechanical properties of soft (biological) materials. In this project you will develop a computational framework, using the finite element method, to characterize and predict complex material parameters from the time-dependent deformation of magnetic microstructures with external actuation, based on experimental data.

Job description
Local rheological properties are important in many biomechanical processes, such as extracellular matrix (ECM) remodeling during cancer metastasis, where the material is heterogeneous at the micrometer scale. However, measurements at this scale are not possible with traditional rheometers since these measure an integrated response of an entire millimeter scale sample. In this project, we will develop a numerical framework for using magnetic microstructures as local rheometers for soft materials. The microstructures are, for example, spherical or rod-shaped particles, or artificial cilia that are actuated with an external magnetic field to locally “probe” the (bio)material. The first step is the development of an accurate physical model of the magnetic forces that act on the magnetic microstructure, coupled to the hydrodynamic problem, assuming non-Newtonian material behavior. State of the art FEM modeling will be used to generate high-fidelity data for a given magnetic actuation field and constitutive properties of the material to be probed. Model validation will be done using experiments on well-characterized model materials, e.g., hydrogels. The high-fidelity data will subsequently be used in a reduced order model, which is capable of quickly predicting the response of the magnetic microstructures as a function of the applied magnetic field. The reduced order model will then be used in an inverse problem, where we will obtain local rheological information about the material, given observations of the motion of the magnetic microstructures, and create a real-time, in-situ, 3D mapping of the rheological properties of the material. Finally, we will use the developed methodology to analyze experiments on challenging biomaterials such as mucus and extracellular matrix materials. The PhD position is in the Polymer Technology group, in collaboration with the Microsystems group.

Job requirements

We are looking for an experienced candidate with an MSc degree (or about to obtain one soon) in mechanical engineering, applied physics, applied mathematics or similar. The candidate should have knowledge of continuum mechanics and numerical methods (such as the finite element method) combined with strong programming and mathematical skills and a good physical intuition. Experience with rheology or constitutive modelling are a plus. The ideal candidate
has excellent scientific skills as well as excellent soft skills related to verbal and written communication (in English).

Conditions of employment

• We offer a challenging job for four years in a highly motivated team at a dynamic and ambitious University. You will be part of a highly profiled multidisciplinary collaboration where expertise of a variety of disciplines comes together. The TU/e is located in one of the smartest regions of the world and part of the European technology hotspot ‘Brainport Eindhoven’; well-known because of many high-tech industries and start-ups.
  A place to be for talented scientists!
• A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
• To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
• To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• Should you come from abroad and comply with certain conditions, you can make use of the so-called ‘30% facility’, which permits you not to pay tax on 30% of your salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

More information

Do you recognize yourself in this profile and would you like to know more about the project?
Please contact dr. N.O. Jaensson (n.o.jaensson[at]tue.nl) or dr. Y. Wang (y.wang2[at]tue.nl).

For information about terms of employment, click here or contact HRServices.gemini[at]tue.nl.

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

• cover letter (1-page max) in which you describe your motivation and qualifications for the position.
• detailed Curriculum Vitae.
• grade list for your BSc and MSc grades and a brief summary of your MSc thesis.
• list of references with full contact information (including the supervisors of your final BSc and final MSc projects).
• at least one recommendation letter.

We look forward to your application and will screen it as soon as we have received it. Only complete applications will be considered. Review of applications will begin immediately and continue until the position is filled. Promising candidates will be contacted by email. Starting date of the position is as soon as possible.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

APPLY NOW

Postdoctoral Researcher on Learning for Control of Complex Systems

 

Job description

• Are you fascinated by learning from data to control future complex systems?
• Are you passionate to solve fundamental problems in learning, dynamical systems, and control in relation to challenges arising in engineering applications?
• Do you want to be part of an active and high impact center in fundamental and applied research in the broad area of control?

If so, you may be the perfect candidate to join our research group.

Engineered systems are becoming increasingly complex and enormous amounts of data are being generated. In our research, we aim to develop methods to learn from data in such complex dynamic systems, with the goal to allow future systems to make better decisions based on the learned behavior. Our research team's main application area lies in the broad domain of high-tech precision mechatronics - we are centrally located within the Brainport region. We believe we can use data to control such complex engineered systems to the limit of predictable behavior. To achieve this, we address fundamental questions in learning of dynamical systems (system identification), data-driven control, and control of uncertain systems. Currently, we are looking for a Postdoctoral Researcher who is interested to contribute to our application-driven fundamental research, which could cover fundamental contributions that relate to the mentioned scientific areas, as well as high-impact application aspects. Are you interested in joining our team?

Embedding
This position will be in the research group of prof. Tom Oomen (www.toomen.eu), which is part of the Control Systems Technology Section (www.tue.nl/cst), Department of Mechanical Engineering, Eindhoven University of Technology. The Eindhoven University of Technology (TU/e) was established in 1956, is ranked among the top universities in Europe, and is in the top 10 of the CWTS worldwide ranking of university-industry cooperation. The CST section is among the largest and high-impact research centers in control globally, where both fundamental and applied research are performed at the highest level. Current research lines in the section include control and systems theory, cyber-physical systems, optimization, artificial intelligence, machine learning, and systems engineering. Applications are often done in close collaboration with industry, where the CST section is uniquely positioned in a key high-tech region (Brainport Eindhoven). Application areas include mechatronic system design and motion systems, robotics, autonomous vehicles and mobility, smart medical devices, energy systems including nuclear fusion, and agrifood. The CST section currently consists of a diverse and committed team of
29 full-time and part-time staff members and 50+ post-doc and PhD researchers. The section currently consists of 8 Principal Investigators (PIs), who are responsible for specific scientific research lines and act as group leaders.

Job requirements

• Ability to conduct high quality academic research, demonstrated for instance by a relevant PhD thesis and publications.
• Ability to teach, shown by experience or assistance in teaching and positive evaluations of these teaching efforts.
• Excellent mastering of the English language, good communication and leadership skills. Note that the standard language of the University is English, and there is no Dutch language requirement.
• Be a team player and able to work in a dynamic, interdisciplinary context.

Conditions of employment

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for 1-2 years.
• You will have free access to high-quality training programs on general skills, didactics and topics related to research and valorization.
• A gross monthly salary and benefits in accordance with the Collective Labor Agreement for Dutch Universities.
• A broad package of fringe benefits (including an excellent technical infrastructure, moving expenses, and savings schemes).
• In case you come from abroad and comply with certain conditions, you can make use of the so-called ‘30% facility’, which permits you an attractive tax reduction on your salary;
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

More information

Do you recognize yourself in this profile and would you like to know more? Please contact
prof. Tom Oomen, t.a.e.oomen[at]tue.nl

For information about terms of employment, please click here or contact HR Advice (HRAdviceME[at]tue.nl).

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

• Motivation letter in which you concisely describe your research vision and how you see this connects to our team's activities (see www.toomen.eu for details of our activities).
• Curriculum vitae, including a list of your publications and the contact information of relevant references.
• List of three self-selected ‘best publications’ with a brief motivation.

We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

APPLY NOW

PhD in Modelling and Simulation of nanotube-based profiling

 

Increasingly complex 3D shapes are used as Semicon devices, requiring advanced metrology techniques to monitor production and understand performance of the devices. Atomic force microscopy allows to reach the required sub-nm accuracy by using relatively blunt probes, sensing always in the same direction, but only the top of the 3D shapes can be explored. This project aims to enable the use of nanotube-based probes to scan the profile on the samples with more challenging topographies. The nanotube probe shape strongly improves how well holes or trenches in the sample can be accessed. However, the slender probes become weaker in lateral direction, while sensitivity in this direction is also needed to thoroughly scan the samples.

This PhD Position aims to understand the nonlinear dynamics that drive the probe motion in the neighbourhood of high-aspect ratio sample structures. In particular, van der Waals-type attractive forces, electrostatic forces and squeeze-film damping forces will bring a strongly nonlinear force-position dependency, which, in contrast to conventional approaches, cannot be understood by a spherical tip & flat surface approximation. Hence, a 3D force model of the probe tip in the vicinity of the sample will be developed.

Based on the dynamical analysis derived from this force model, a two-dimensional sensing capacity will be developed where profile information can be obtained in longitudinal as well   as in lateral direction of the nanotube probe. Hence, sideways bending and buckling of the narrow probe will be also be considered. Experimental validation of the 2D profile sensing is foreseen. The PhD Candidate will be partially located at TNO Optomechatronics, Delft and partially at the TU/e Dynamics and Control group.

Job requirements

• A master’s degree (or an equivalent university degree) in Mechanical Engineering, Electrical Engineering, Mechatronics, Physics, or any related field.
• A research oriented attitude.
• Ability to work in a team and <interested in collaborating with the industrial partners>Fluent in spoken and written English.

Conditions of employment

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
• To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
• To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• Should you come from abroad and comply with certain conditions, you can make use of the so-called ‘30% facility’, which permits you not to pay tax on 30% of your salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

Do you recognize yourself in this profile and would you like to know more About the positions? Please contact prof.dr. Henk Nijmeijer, H.nijmeijer[at]tue.nl or dr. Hamed Sadeghian Marnani, h.sadeghian.marnani[at]tue.nl or prof.dr.ir. Nathan van de Wouw  N.v.d.Wouw[at]tue.nl.

For information about terms of employment, click here or contact HR Services, HRServices.Gemini[at]tue.nl.

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.
• Brief description of your MSc thesis.

We look forward to your application and will screen it as soon as we have received it.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary please combine files.

APPLY NOW

PhD in Control for Nanotube-based profiling

 

Increasingly complex 3D shapes are used as Semicon devices, requiring advanced metrology techniques to monitor production and understand performance of the devices. Atomic force microscopy allows to reach the required sub-nm accuracy by using relatively blunt probes, sensing always in the same direction, but only the top of the 3D shapes can be explored. This project aims to enable the use of nanotube-based probes to scan the profile on the samples with more challenging topographies. The nanotube probe shape strongly improves how well holes or trenches in the sample can be accessed. However, the slender probes become weaker in lateral direction, while sensitivity in this direction is also needed to thoroughly scan the samples.

 This PhD Position aims to provide the control techniques required to keep the probe in   proximity of the sample and to ensure that the metrology objectives are achieved. Control challenges on the nanotube-based profiling include 1) navigation of the probe towards the point of interest on the sample; 2) facilitating the 2D profile sensing and selecting the correct sensing direction for this part of the sample; and 3) profile reconstruction based on measurement signals. This PhD will contribute to these challenges as follows. 1) Based on realtime-measurement data, the control should plan a path along the sample profile and optimise the sensing direction such that enough profile measurements are generated along    the sample contour, minimising blind spots. 2) Two-dimensional profile information is needed at high rates to allow the real-time path planning, making the required driving signals and signal analyses a nontrivial task. Dynamical sensing methods are foreseen to achieve acceptable accuracy. 3). Estimation technique exploiting the known stage dynamics, as well          as the modelled probe dynamics, will be incorporated to provide highly accurate profile information. First experiments demonstrating (elements of) these control concepts are foreseen.

 The PhD Candidate will be partially located at TNO Optomechatronics, Delft and partially at the TU/e Dynamics and Control group.

Job requirements

• A master’s degree (or an equivalent university degree) in Mechanical Engineering, Electrical Engineering, Mechatronics, Physics, or any related field.
• A research-oriented attitude.
• Ability to work in a team and interested in collaborating with the industrial partners.
• Fluent in spoken and written English.

Conditions of employment

• A meaningful job in a dynamic and ambitious university with the possibility to present your work at international conferences.
• A full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
• To develop your teaching skills, you will spend 10% of your employment on teaching tasks.
• To support you during your PhD and to prepare you for the rest of your career, you will make a Training and Supervision plan and you will have free access to a personal development program for PhD students (PROOF program).
• A gross monthly salary and benefits (such as a pension scheme, pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labor Agreement for Dutch Universities.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• Should you come from abroad and comply with certain conditions, you can make use of the so-called ‘30% facility’, which permits you not to pay tax on 30% of your salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.

Information and application

Do you recognize yourself in this profile and would you like to know more About the positions? Please contact prof.dr. Henk Nijmeijer, H.nijmeijer[at]tue.nl  or dr. Hamed Sadeghian Marnani, h.sadeghian.marnani[at]tue.nl or prof.dr.ir. N. van de Wouw, N.v.d.Wouw[at]tue.nl.

For information about terms of employment, click here or contact HR Services, HRServices.Gemini[at]tue.nl.

Please visit www.tue.nl/jobs to find out more about working at TU/e!

Application

We invite you to submit a complete application by using the 'apply now'-button on this page.
The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references.
• Brief description of your MSc thesis.

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