PhD in Micromechanical experimental analysis of particle generation in silicon wafer handling

Introduction
Are you an engineer who wants to contribute to the high-tech, state-of-the-art micromechanical experimental analysis of microscopic wear of silicon during wafer handling? We are looking for an outstanding and enthusiastic PhD candidate, with a strong experimental mechanics profile of excellence, to work on a challenging micro-mechanical testing project, in an exciting multidisciplinary team.

Job Description
Context
The yield of many manufacturing processes of micro- and nanoscale substrates depends highly on their cleanliness. Reduction of contaminating particles improves the overall efficiency and quality, thereby enabling the creation of larger structured substrates. Investing in the prevention of wear particles generation is a way to tackle this issue directly at the source, which is particularly relevant for wafer handling.

Silicon is a very complex material, undergoing multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact. The generation of particles is rooted in the complex fracture events spanning the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching are equally complex and need to be properly accounted for as well.

PhD project
The objective of this project is to extensively characterize the governing micromechanisms of phase transformation, plasticity, damage and fracture during the silicon particle detachment under contact conditions, enabling a quantitative assessment of the dominant influence factors and possible mitigation routes to control the detachment process. To achieve this goal, the project will use a dedicated in-situ scratch tester with in-situ scanning electron microscopy observation capabilities, which so far was used for indentation of silicon with only preliminary exploration of in-SEM scratching.

Building upon the preliminary in-situ SEM scratch exploration, the following extensions and improvements need to be made:

• Develop a method to measure the extent of silicon phase transformation and plasticity underneath a silicon micro-scratch, using electron backscatter diffraction or transmission Kikuchi diffraction on focused ion beam lift-outs of the scratch.
• Develop a method to quantify the volume and size distribution of wear particles, based on in-SEM scratch movies combined with atomic force microscopy of the corresponding scratches.
• Combine these methods to quantify phase transformation, plasticity, damage, fracture, and particle volume/sizes for the parameters space that is relevant for wafer handling.
• Map out the different regimes of silicon deformation and particle generation and formulate and validate a mitigation strategy to reduce particle generation.
• Determine the input parameters for the predictive modelling framework being developed in the numerical co-project, e.g. material parameters and the friction coefficient in the different scratch regimes.

The experimental campaign will be guided by the insights from numerical simulations. The interaction between the experimental project and the parallel modelling project, focused on simulating particle generation in silicon wafers, is therefore essential.

Section Mechanics of Materials
You will work in the section of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e). The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex mechanical behavior in engineering materials at different length scales (e.g, plasticity, damage, fracture), which emerges from the physics and mechanics of the underlying multi-phase microstructure. An integrated numerical-experimental approach is generally adopted for this goal.

A state-of-the-art micromechanical testing infrastructure is in place for the experimental work in this project (www.tue.nl/multiscale-lab).

Job Requirements

• An outstanding, motivated, enthusiastic, curiosity-driven researcher. Deep analytical skills, initiative, creativity, and flexibility are highly desired.
• A MSc degree in Mechanical Engineering, Materials Science, Applied Physics, Aerospace Engineering, or similar.
• A convincing and very strong background in experimental micromechanics, supported by excellent grades, is required. Candidates without such a background are discouraged to apply.
• Additional experience in materials science, metallurgy, microscopy, mechanical testing, continuum and computational mechanics, or structure-property relationships is of benefit.
• Interest to work in an interdisciplinary project, with a strong scientific profile, but in close coordination with industrial partners such as VDL ETG.
• Motivated to develop your teaching skills and coach students.

Fluent in spoken and written English (C1 level).

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks (including supervision of BSc and MSc students doing a research internship in support of your PhD project), with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

About us
Eindhoven University of Technology is a leading international university within the Brainport region where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

The Department of Mechanical Engineering department conducts world-class research aligned with the technological interests of the high-tech industry in the Netherlands, with a focus on the Brainport region. Our goal is to produce engineers who are both scientifically educated and application-driven by providing a balanced education and research program that combines fundamental and application aspects. We equip our graduates with practical and theoretical expertise, preparing them optimally for future challenges.

Information
Do you recognize yourself in this profile and would you like to know more about the scientific content of the PhD project? Please feel free to contact us: Prof. Johan Hoefnagels (j.p.m.hoefnagels@tue.nl), Prof. Marc Geers (m.g.d.geers@tue.nl).

Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.Gemini@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application by using the apply button. The application package should include a:

• a Cover letter in which you briefly describe your motivation and qualifications for the position.
• a detailed Curriculum Vitae, including:
  
  • the starting and end dates of your BSc and MSc study
  • a list of your publications
  • a brief description of your MSc thesis project
  • contact information of three references
    Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• the Official Grade Lists of your BSc. and MSc. education, listing all your courses taken and grades obtained.
• a separate list of your experience with continuum and computational mechanics in general and the following skills in particular:
  
  • materials and microstructure characterization,
  • microscopy and metallurgy,
  • (micro-)mechanical testing, in-situ testing and digital image correlation,
  • numerical analysis of experimental data,
  • Matlab/Python coding.

We look forward to receiving your application. Closing date is January 10th, 2025, but we will screen applications as we receive them. Promising candidates may expect to be invited for an online interview.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

Assistant Professor Urban Planning and Digitalization

Introduction
Are you interested in developing and applying urban planning models and methods pertinent to specific planning domains (public space, infrastructure, retail, jobs, housing, and public facilities)?

Job Description
In this role you will be teaching these methods and planning concepts to students, in both lectures and projects. With a focus on the planning of sustainable built environments that cater to the diverse characteristics, preferences, needs, and activity patterns of individuals and communities. In particular, you will conduct research on the use of digitalization in relation to urban planning, including digital twin technology and VR experiments applied to smart healthy urban environments and transportation systems.

Urban Planning and Digitalization
Urban planning refers to a scientific approach to support multi-objective decisions concerning the location, size, and quality of a set of interconnected land uses considering environmental, societal, cultural and economic perspectives and people’s preferences, needs and behavior. The scientific orientation is reflected in theories, concepts, and modeling approaches that may be used to guide these location decisions, to quantify the demand for land use and assess the impacts of plans, and a set of supporting methods and models that support the plan development and implementation process.

Urban planning is closely related to transportation planning. The change in the spatial distribution of demand and facilities has a direct impact on generated and attracted traffic, while in turn traffic volumes influence the feasibility of land use patterns and facilities.

Recent years have witnessed an increased policy focus on safe and healthy living environments promoting the development of urban planning and designs to support such policies. The development of digital twinning and mixed-reality (in particular VR) facilities has enabled new ways to support the generation of various urban forms and planning and allows citizens to evaluate and co-create new design and planning solutions in a semi-real world context. Moreover, it has been widely recognized that due to the complexity of the urban system, any (urban) planning and policy can have secondary and higher order effects which are essential to be understood. Digital twining of built environment provides the opportunity for examining and communicating the effects of planning and policies to a large group of stakeholders.

You are expected to develop and maintain an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning) and recent developments in this field of study in academics and urban planning practice. And help students to apply this knowledge and skills set through a series of lectures and projects.

In addition, you will play an active role in an international research frontier in this area of research relevant to the creation of smart, healthy urban systems.

The Urban Planning and Transportation Group
As an assistant professor, you will contribute to achieving the educational and research objectives of the Chair of the Urban Planning and Transportation Group, under the leadership of Prof. Rasouli, and participate in the teaching and research program of the group within the unit Urban Systems and Real Estate (USRE).

The Urban Planning and Transportation Group is a young group and consists of 37 academics of different disciplinary and background. Further information about the group’s research activities and profiles can be retrieved here.

Part of your task is supervising BSc and MSc students and co-supervising PhD candidates. You will teach lectures/courses and supervise student projects at the Bachelor and Master level. You are expected to write research proposals to acquire funding, publish in high quality journals and be a member of education, research and/or management committees within the faculty and/ or university.

Job Requirements
We offer a stimulating and ambitious educational and research environment and are looking for candidates with the following qualifications:

• A PhD Degree in Urban Planning or a closely related discipline.
• Has one to two years’ work experience since gaining PhD as a postdoc researcher.
• Demonstrated research skills evidenced by publications in leading planning journals and conference proceedings.
• Expertise in/affinity with the application of digital twin technology to smart and healthy urban systems
• The ability to create a vibrant and effective learning environment and motivate students both in research-based and challenge-based types of education (academic proficiency and design and engineering attitude).
• Broad (inter)national network in academia and industry to acquire research grants. Good command of English, both orally and in writing.
• Team player by nature, willing to develop teaching and research in close collaboration with other members of the group and the department, respectively TU/e.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• A full-time position in a dynamic and ambitious university with a broad (inter) national network.
• The opportunity to focus your career on education, research or impact. You can develop your personal ambitions and goals within the strategic objectives of the university.
• Salary in accordance with the Collective Labor Agreement for Dutch Universities, scale 11 (min. € 4,728,- max. € 6,433,-).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• A Development Track with the prospect of becoming an Associate Professor. If you have a more senior profile, a tailor-made career proposal will be considered.
• High-quality training programs for academic leadership and teaching.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

About us
Eindhoven University of Technology is a leading international university within the Brainport region where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

The Department of the Built Environment (BE)
Eindhoven University of Technology (TU/e) is a leading research university specializing in engineering science and technology with strong bonds to industry practice. Following the strategic goals, the Department of the Built Environment (BE) aims to educate future generations of students and meet today’s and tomorrow’s societal challenges.

Sustainability, in its broadest definition, is the cornerstone of research and education in the Department of Built Environment. We take the lead in (re)shaping the built environment to be future-proof, safe, healthy, inclusive and respectful of planetary boundaries. We house the entire spectrum of technology, engineering, design, and human behavior disciplines in the built environment, with world-class experimental facilities at all scales. This allows us to address societal challenges from a uniquely integrated perspective.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact Prof.dr. Soora Rasouli, Head of the Urban Planning and Transportation Group, s.rasouli@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Hella Ploegmakers, Senior Recruiter, h.a.m.ploegmakers@tue.nl or 06 43559625.

Curious to hear more about what it is like as a professor at TU/e? Please watch the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application. 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. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• Description of your scientific interests and plans (1-2 pages).
• Statement of your teaching goals and experience (1-2 pages).

We look forward to receiving your application and will screen it as soon as possible.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

Assistant Professor in Information and Coding Theory

Introduction
The Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e) invites applications for the position of Assistant Professor in Information and Coding Theory. We are seeking a highly motivated researcher to advance research in modern coding and/or information theory, with emphasis on applications in reliable data storage, networks, communication systems, or other emerging technologies. Candidates whose expertise bridges classical coding theory with novel paradigms, such as quantum information theory, are especially encouraged to apply.

Job Description
The position is embedded in the Mathematical Communication Theory (MCT) group at Eindhoven University of Technology (TU/e). TU/e has a long-standing tradition of excellence in coding and information theory, providing a strong foundation for research in these fields. Coding theory, the science of transmitting and storing data reliably, plays a crucial role in all modern communication systems and is fundamentally rooted in information theory.

The MCT group advances research on communication theory at the intersection of mathematics and electrical engineering, with a particular emphasis on the mathematical foundations of the discipline. Positioned at this interface, the group combines rigorous theoretical approaches with practical perspectives and actively builds bridges between communities, fostering synergies across mathematics, electrical engineering, and applied sciences more broadly. The group collaborates with the Electrical Engineering and Applied Physics departments, and with the Eindhoven Casimir Institute. It is embedded in the Discrete Mathematics cluster, offering close connections with researchers in applied algebra, cryptography, number theory, and geometry.

The ideal candidate will bring strong expertise in information theory or coding theory, with a research profile that aligns with one or more of the group’s core areas: network communications, DNA data storage, distributed data storage, and quantum error correction. Candidates whose work expands one or more of these directions through new methodologies and mathematical frameworks are especially encouraged to apply. You will strengthen the group’s existing focus areas and broaden its capacity to address cutting-edge problems in modern communication and data storage systems.

In this role you will be supported in developing an independent research agenda and growing as an academic while actively collaborating with the MCT group, for instance in the form of research collaborations and joint funding applications.

Job Requirements

• Motivated researcher, with a PhD in Mathematics, Electrical Engineering, or a comparable domain.
• Strong mathematical background, enabling integration into a mathematics research group, collaboration across disciplines, and designing/teaching courses in mathematics.
• Extensive expertise in communication and information theory, with a solid understanding of their practical applications and relevance to industry and technology.
• Interest in bridging fundamental research with practical applications and industrial partners.
• Ability to conduct high quality academic research, reflected in demonstratable outputs.
• Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills.
• Strong cooperation skills and ability to work in an interdisciplinary team.
• Effective communication and leadership skills, including coaching and mentoring of students and staff, leading a project or chairing a group.
• Excellent (written and verbal) proficiency in English.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• An 18-month contract as Assistant Professor which can become permanent after 12 months on the same employment level upon successful evaluation. Experienced candidates might be offered a permanent contract already at the start of employment.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 11 (min. €4,728 max. €6,433).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• A Development Track with the prospect of becoming an Associate Professor. If you have a more senior profile, a tailor-made career proposal will be considered.
• High-quality training programs for academic leadership and teaching.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

About us
Eindhoven University of Technology is a leading international university within the Brainport region where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

With over 110 (assistant, associate and full) professors, almost 300 PhD and EngD students, about 1,500 Bachelor students and 1,000 Master students, the Department of Mathematics and Computer Science (M&CS) is the largest department of the TU/e. By performing top-level fundamental and applied research, and maintaining strong ties with industry, M&CS aims to contribute to science and innovation in and beyond the region.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager, Professor Alberto Ravagnani, a.ravagnani@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Hella Ploegmakers, Senior Recruiter, h.a.m.ploegmakers@tue.nl or +31 643559625.

Curious to hear more about what it is like as a professor at TU/e? Please watch the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application. 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. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• Description of your scientific interests and plans (1-2 pages).
• Statement of your teaching goals and experience (1-2 pages).

We look forward to receiving your application and will screen it as soon as possible.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD in Micromechanical experimental analysis of particle generation in silicon wafer handling

Context
The yield of many manufacturing processes of micro- and nanoscale substrates depends highly on their cleanliness. Reduction of contaminating particles improves the overall efficiency and quality, thereby enabling the creation of larger structured substrates. Investing in the prevention of wear particles generation is a way to tackle this issue directly at the source, which is particularly relevant for wafer handling.

Silicon is a very complex material, undergoing multiple phase transformation, with some phases showing extensive plastic deformation, during mechanical loading and contact. The generation of particles is rooted in the complex fracture events spanning the various phases of silicon in various 3D stress configurations. A predictive model should properly account for the complex physics, damage and fracture. The loading conditions in contact and scratching are equally complex and need to be properly accounted for as well.

PhD project
The objective of this project is to extensively characterize the governing micromechanisms of phase transformation, plasticity, damage and fracture during the silicon particle detachment under contact conditions, enabling a quantitative assessment of the dominant influence factors and possible mitigation routes to control the detachment process. To achieve this goal, the project will use a dedicated in-situ scratch tester with in-situ scanning electron microscopy observation capabilities, which so far was used for indentation of silicon with only preliminary exploration of in-SEM scratching.

Building upon the preliminary in-situ SEM scratch exploration, the following extensions and improvements need to be made:

• Develop a method to measure the extent of silicon phase transformation and plasticity underneath a silicon micro-scratch, using electron backscatter diffraction or transmission Kikuchi diffraction on focused ion beam lift-outs of the scratch.
• Develop a method to quantify the volume and size distribution of wear particles, based on in-SEM scratch movies combined with atomic force microscopy of the corresponding scratches.
• Combine these methods to quantify phase transformation, plasticity, damage, fracture, and particle volume/sizes for the parameters space that is relevant for wafer handling.
• Map out the different regimes of silicon deformation and particle generation and formulate and validate a mitigation strategy to reduce particle generation.
• Determine the input parameters for the predictive modelling framework being developed in the numerical co-project, e.g. material parameters and the friction coefficient in the different scratch regimes.

The experimental campaign will be guided by the insights from numerical simulations. The interaction between the experimental project and the parallel modelling project, focused on simulating particle generation in silicon wafers, is therefore essential.

Section Mechanics of Materials
You will work in the section of Mechanics of Materials (MoM) (www.tue.nl/mechmat) at the department of Mechanical Engineering of Eindhoven University of Technology (TU/e). The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex mechanical behavior in engineering materials at different length scales (e.g, plasticity, damage, fracture), which emerges from the physics and mechanics of the underlying multi-phase microstructure. An integrated numerical-experimental approach is generally adopted for this goal.

A state-of-the-art micromechanical testing infrastructure is in place for the experimental work in this project (www.tue.nl/multiscale-lab).

Assistant Professor Urban Planning and Digitalization

In this role you will be teaching these methods and planning concepts to students, in both lectures and projects. With a focus on the planning of sustainable built environments that cater to the diverse characteristics, preferences, needs, and activity patterns of individuals and communities. In particular, you will conduct research on the use of digitalization in relation to urban planning, including digital twin technology and VR experiments applied to smart healthy urban environments and transportation systems.

Urban Planning and Digitalization
Urban planning refers to a scientific approach to support multi-objective decisions concerning the location, size, and quality of a set of interconnected land uses considering environmental, societal, cultural and economic perspectives and people’s preferences, needs and behavior. The scientific orientation is reflected in theories, concepts, and modeling approaches that may be used to guide these location decisions, to quantify the demand for land use and assess the impacts of plans, and a set of supporting methods and models that support the plan development and implementation process.

Urban planning is closely related to transportation planning. The change in the spatial distribution of demand and facilities has a direct impact on generated and attracted traffic, while in turn traffic volumes influence the feasibility of land use patterns and facilities.

Recent years have witnessed an increased policy focus on safe and healthy living environments promoting the development of urban planning and designs to support such policies. The development of digital twinning and mixed-reality (in particular VR) facilities has enabled new ways to support the generation of various urban forms and planning and allows citizens to evaluate and co-create new design and planning solutions in a semi-real world context. Moreover, it has been widely recognized that due to the complexity of the urban system, any (urban) planning and policy can have secondary and higher order effects which are essential to be understood. Digital twining of built environment provides the opportunity for examining and communicating the effects of planning and policies to a large group of stakeholders.

You are expected to develop and maintain an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning) and recent developments in this field of study in academics and urban planning practice. And help students to apply this knowledge and skills set through a series of lectures and projects.

In addition, you will play an active role in an international research frontier in this area of research relevant to the creation of smart, healthy urban systems.

The Urban Planning and Transportation Group
As an assistant professor, you will contribute to achieving the educational and research objectives of the Chair of the Urban Planning and Transportation Group, under the leadership of Prof. Rasouli, and participate in the teaching and research program of the group within the unit Urban Systems and Real Estate (USRE).

The Urban Planning and Transportation Group is a young group and consists of 37 academics of different disciplinary and background. Further information about the group’s research activities and profiles can be retrieved here.

Part of your task is supervising BSc and MSc students and co-supervising PhD candidates. You will teach lectures/courses and supervise student projects at the Bachelor and Master level. You are expected to write research proposals to acquire funding, publish in high quality journals and be a member of education, research and/or management committees within the faculty and/ or university.