Doctoral students in Networked Systems Security

 KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Project description

We invite applications for doctoral student positions with the Networked Systems Security (NSS) lab at EECS/SCS. We are looking for highly motivated individuals to pursue a PhD in security and privacy. The positions involve activities leading to original research and results in peer-reviewed publications. The research topics can relate with any of the NSS group areas (https://www.eecs.kth.se/nss).

The NSS group designs and builds trustworthy networked systems, with a research agenda covering a gamut of security and privacy problems and results that got significant attention by the research community. NSS introduced a new security curriculum at KTH. Candidates with experimental/systems or theoretical profiles and research interests in any aspect of security and privacy are welcome to apply.

Third-cycle subject: Computer Science

Supervision: Professor Panagiotis Papadimitratos

What we offer

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master's degree), or
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.

Candidates should have a strong interest in several of the following: design, analysis, verification, implementation, or empirical evaluation of secure networked systems and a solid background in several of the following: computer security, privacy preserving or enhancing technologies, mobile computing, networking, Internet security, wireless communications, distributed algorithms and systems, programming languages, performance analysis, operating systems, simulation techniques and tools, software engineering, system and network programming, applied cryptography and information theory.

The successful candidate shall show readiness and willingness to contribute to our research and work in an international research team.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time.

Union representatives

Contact information KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

Contact information section's website.

Application

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing, recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Apply

Postdoc in Extracting Signal Content using Spline Filtering Techniques

 KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Job description

The numerical analysis unit within the department of Mathematics is offering a two-year postdoc position. The research project will be focused on the development of filtering techniques for extracting specific signal content from simulation data, especially near boundaries, as well spline filtering. This entails aspects from approximation theory, wavelets, error estimation of simulation data, and contribution to the SIAC Magic ToolBox. Proposed Applications are visualization and turbulence modelling. The project will span theory, algorithms, software and applications.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Supportive mentoring in a positive environment.
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, This eligibility requirement must be met no later than the time the employment decision is made (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
  • Excellent programming skills in at least one of Matlab, Fortran, Python, Julia, or C++.
  • Excellent oral and written communication skills in English, as this will be required in day-to-day work. 

Preferred qualifications

  •  Research expertise in Numerical Analysis is the most important selection criteria, and should be shown through scientific publications/doctoral dissertation.
  • Ability to work both independently and collaborate with local colleagues as well as collaborators at other institutions within Sweden and abroad.
  • Demonstrated pedagogical ability is of merit, as well as awareness of diversity and equal treatment issues with a particular focus on gender equality. 

Great emphasis will be placed on personal competency

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

PhD position on Machine Learning assisted calibration for data convert

 In the last 40 years the systematic downscaling of CMOS Integrated Circuit (IC) technologies has enabled unprecedented improvements in transistor density, frequency of operation, energy efficiency and reliability. CMOS technologies allow today to integrate in digital microprocessors several billion of transistors in a chip that has the size of a fingernail. While technology downscaling has been extremely beneficial for digital circuits, the design of analog frontend electronics and Analog-to-Digital converters in deep sub-micron CMOS technologies is becoming increasingly challenging due to the systematic power supply reduction, the intrinsically larger device parameter variability, and the higher low-frequency noise level of these transistors. These trends directly limit the resolution of data-converters. Moreover, to achieve automotive-worth, 5-6 sigma reliability of key performance parameters, accurate calibration loops are needed to precisely tune or compensate circuit non-idealities. Calibration of static first-order errors (for example the bandwidth variation of a filter) is straightforward and widely used. Calibration of (a multitude of) second- or higher order and dynamic errors over product lifetime, is extremely challenging in terms of prediction and extraction of (non-orthogonal) frequency dependent non-linear errors.  

This project is part of the Robust AI for Safe radar signal process (RAISE) program, sponsored by the Eindhoven AI Systems Institute (EAISI) and NXP.

Your duties

As a PhD candidate in the Integrated Circuits group, you will investigate a novel methodology to design and implement self-calibration techniques for data converters with the aid of Machine Learning (ML). During your PhD you will first identify the root causes (from a circuit perspective) responsible for data converter performance reduction due to operation in non-typical conditions or to aging effects. Next you will investigate suitable ML algorithms to periodically calibrate the data converter behavior and recover its nominal performance level. Finally, you will design a novel data converter embedding a ML-based self-calibration circuit on hardware, achieving state-of-the-art performance. Architectural, ML algorithmic and transistor-level design approaches will be considered in this challenging exploration.

In summary your main tasks will be:

  • Develop a new design methodology exploiting Machine Learning to periodically self-calibrate data converters and maximize their performance by adapting to operating conditions and aging of the circuits;
  • Investigate methods to efficiently train the ML algorithms using a reduced set of data points;
  • Demonstrate the potential  and effectiveness of the proposed approach by designing, implementing and characterizing data converters achieving state-of-the-art performance. 
  • Disseminate the results of your research in international and peer-reviewed journals and conferences;  
  • Get involved in educational tasks such as the supervision of Master/Bachelor students and internships;
  • Write a dissertation based on the research outcome and successfully defend it.

Job requirements

We are looking for a candidate who meets the following requirements:

  • You have a strong background in Integrated Circuit (IC) design together with an hands-on experience with IC CAD systems.
  • You have solid understanding of data converters.
  • You hold a MSc degree in Electrical Engineering.
  • You are a talented and enthusiastic young researcher.
  • Prior knowledge of machine learning algorithms, neural and/or Bayesian networks is a plus.
  • You have good programming skills (preferably Python or MATLAB).
  • You have good communication skills and can work in a multidisciplinary team.
  • You are proficient in spoken and written English; knowledge of Dutch is not required.
     

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

TU/e

Eindhoven University of Technology (TU/e) is one of Europe's leading research universities. The Eindhoven area, in the southern part of the Netherlands, is one of Europe's top 'innovation ecosystems', with many high-tech companies and institutes. TU/e is intertwined with many of these companies and institutes, and research at TU/e is characterized by a combination of academic excellence, industrial relevance and societal interweaving.

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

Diversity

We are an inclusive university community. Diversity is one of our most important values. We believe that engaging in international activities and welcoming students and staff from a wide variety of backgrounds enhances the quality of our education and research. We are always looking for people who can enrich our world with their own unique perspectives and experiences.

More information

Do you recognize yourself in this profile and would you like to know more? Please contact
prof. Eugenio Cantatore, e.cantatore[at]tue.nl or dr.ir. Marco Fattori, m.fattori[at]tue.nl.

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

Application

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

  • a cover letter explaining your motivation and suitability for the position
  • a complete list of courses and grades from your Master's programme
  • a detailed curriculum vitae                
  • a scientific report in English, written by yourself (e.g. MSc thesis, traineeship report or scientific paper)
  • two references (name, affiliation, and contact information)

We look forward to your application and will screen your application as soon as possible. The vacancy will remain open until the position is 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.

Assistant Professor in Sustainability Transitions

 You will do research on the changes in institutions, regulations, and markets and user practices needed to enable the transition to sustainable energy and mobility systems, with a specific focus on energy communities. The energy system is in transition from a centralized energy system with hierarchical control and governance, to a distributed energy system with a more polycentric governance system and a more active role of end users and local producers. Furthermore, we observe increased integration of energy and mobility systems. Digitization and smart grids are key to realizing this transition and ensuring system functionality. A challenge is that all these developments require not only changes in technology but also in institutions and user practices. Addressing these challenges requires a deep understanding of current energy and mobility systems from both an engineering and a socio-economic perspective.

This position is highly interdisciplinary, and you are expected to work with social scientists and humanities scholars, as well as natural scientists and engineers. The Technology, Innovation, and Society (TIS) group at Eindhoven University of Technology includes all these disciplines and offers provides a stimulating and collaborative environment. The TIS group is part of the Department of Industrial Engineering & Innovation Sciences (IE&IS). Research at TIS concerns how humans and societies bring about technological change, and how technological innovations change society. With ~20 staff and a large group of postdocs and PhD students, researchers in the TIS group try to bridge the engineering and social sciences in a systems perspective on sustainability transitions. The TIS staff teaches in the BSc program 'Sustainable Innovation', the MSc programs ‘Sustainable Energy Technologies’ and 'Innovation Sciences', and in university-wide programs for engineers.

Job requirements

  • Motivated researcher, with a PhD in energy science, energy economics, ecological economics, mobility studies, innovation sciences, or a comparable domain.
  • 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:

  • Tenure Track with the prospect of becoming an Associate Professor. The initial contract is at least five years. If you have a more senior profile, a tailor-made career proposal will be considered.
  • The opportunity to focus your career on education, research or impact. You can develop your personal ambitions and objections within the strategic objectives of the university.
  • Salary in accordance with the Collective Labour Agreement for Dutch Universities.
  • An attractive starting package.
  • 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.
  • 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.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

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

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Floor Alkemade, professor governance of technological innovation, f.alkemade[at]tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Kim Spinder – van Puijenbroek, HR Advisor, HRServices.IEIS[at]tue.nl or +31 40 247 5102.

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.
  • 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. The vacancy will remain open until the position is filled.

PhD on Learning Analytics for supporting student well-being

 Student well-being has been a topic of concern in higher education. Are you interested in designing and evaluating ways to (unobtrusively) monitor and analyze student well-being?

Are you interested in tailoring interventions and feedback towards students to optimize their academic resilience?

Consider applying for the PhD position on learning analytics for supporting student well-being at the Human-Technology Interaction Group (HTI) of the School of Innovation Sciences.

The project

Student well-being has come under pressure in recent years and the pandemic situation, combined with the trend towards more blended and online learning, made this issue more salient. At TU/e and other Dutch universities, study stress and a high workload create the need to monitor well-being more efficiently and to empower students to manage their resilience.

In this PhD project, you will use learning analytics to monitor and improve student well-being in higher education in blended courses. In the first phase, you will develop predictive models based on students' online behavior (e.g., clickstream data) to monitor student well-being.
These prediction models will be evaluated across different student groups. In the second phase, you will iteratively design and develop feedback, such as learner dashboards, as part of larger interventions aimed at strengthening students' academic resilience. You will take into account the relevant scientific theories and empirical findings on educational interventions that target student well-being. These interventions and feedback will be personalized using information on an individual student's learning process. The final interventions will be evaluated in selected courses at TU/e in field experiments.

The research group

The Human-Technology Interaction (HTI) group is part of the Department of Industrial Engineering & Innovation Sciences (IE&IS). The HTI group concentrates expertise in social sciences - particularly psychology - and engineering, studying technology in the service of human wellbeing within the broader context of a socially and ecologically sustainable society.

Job requirements

  • Recently completed (or be close to the completion of) a Master's degree in Human-Computer Interaction, Cognitive Psychology, Educational sciences, or a related field that shows an interest in both data analysis as well as psychology.
  • Demonstrable experience in conducting empirical and/or experimental research, including knowledge of and demonstrable experience with applying (state-of-the-art) statistical techniques.
  • Experience with data wrangling (e.g., in R, Python).
  • Excellent mastering of the English language and good communication skills. Note that there is no Dutch language requirement.

We expect you to:

  • further develop the project proposal based on academic literature, and in collaboration with educational stakeholders
  • design empirical (field) studies
  • design 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
  • publish papers in internationally renowned academic journals

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 evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • 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.
  • 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.

Information and application

About us

Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

Information

More information about the HTI group can be found at https://www.tue.nl/en/research/research-groups/innovation-sciences/human-technology-interaction/.

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager dr. Rianne Conijn m.a.conijn[at]tue.nl or dr. Uwe Matzat u.matzat[at]tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Kim Spinder - van Puijenbroek (HR Advisor), pz.ieis[at]tue.nl.

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 should include a:

  • Cover letter in which you describe your motivation and qualifications for the position.
  • Curriculum vitae, including the contact information of two references.
  • Master thesis (or any other report that shows your academic writing).

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

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

PhD in integration of additive manufacturing in spare parts supply chains

 We seek a PhD candidate for the research project “Integration of additive manufacturing in spare parts supply chains”. This exciting project is part of the “Robust and Light Additive Manufacturing component for Military systems (ROLIAC)” program, which is funded by the European Union. The candidate will work together with colleagues from other ROLIAC research partners.  

The  goal of the research project is to investigate the added value of additive manufacturing in the military supply chain, set up to deliver spare parts in an area of operation. The insights will have broader applicability to other supply chains, e.g., those in the energy sector. The candidate will compare the costs and performance of a supply chain that does not use additive manufacturing for printing spare parts with one that uses it optimally. More specifically, for the latter one the candidate will first use techniques from operations research and game theory to
(i) investigate the optimal location of additive manufacturing technology in the spare parts supply chain for one country active in an area of operation and (ii) determine the optimal location of additive manufacturing technology in the spare parts supply chain for a number of countries that operates jointly in an area of operation. Thereafter, the candidate will compare the optimal supply chain with additive manufacturing with one that does not use additive manufacturing in order to show the value of additive manufacturing and the improved robustness of the military supply chains.

This gives insights to military and other organizations on how and when to use additive manufacturing in practice. We thus aim to contribute to both the practice of and literature on supply chain management. We aim to perform rigorous research with high practical relevance that can be published in top journals in the field of management science & operations research. For some examples of our past research in this area, see  
https://doi.org/10.1111/poms.13298
https://doi.org/10.1016/j.cor.2021.105356

Job requirements

  • A Master's degree in Operations Research, Econometrics, Industrial Engineering, Operations Management, (Applied) Mathematics, or a related field.
  • Strong analytical and mathematical skills and demonstrated competence for quantitative modelling.
  • The ability to work on a challenging topic that has both fundamental and applied research aspects.
  • Proven excellent verbal and written communication skills, including proficiency in English and an ability to collaborate in an international setting.
  • Motivation to develop teaching skills and coach students.

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 evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • 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.
  • 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.

Information and application

About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow. 

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


Information

Do you recognize yourself in this profile and would you like to know more? Please contact
Loe Schlicher, l.p.j.schlicher[at]tue.nl, or Rob Basten, r.j.i.basten[at]tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact Susan Opgenoorth, HR Advisor, HRServices.IEIS[at]tue.nl
or +31 40 2474465.

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 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.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

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

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Swedish University of Agricultural Sciences in Sweden invites application for vacant (31) PhD, Postdoc and Faculty Positions

Swedish University of Agricultural Sciences in Sweden invites application for vacant (31) PhD, Postdoc and Faculty Positions