Postdoctoral Researcher - Nanotechnology for Wound Healing

 

The research activities of the Nanoparticle Systems Engineering Laboratory (www.nse.ethz.ch) are centered on the design and development of innovative materials-based technologies for healthcare. We aim to create tomorrow's therapies and decisively contribute to precision medicine by harnessing engineering fundamentals. Our interdisciplinary team designs materials and develops cutting-edge multiscale analytics in order to rationalize material and device designs. We work in close collaboration with clinical partners to bring conceptionally novel solutions to clinics.

Project background

By sophisticated nanoparticle engineering, we have conceived a toolbox that allows us to steer structure-function relationships and tailor nanoparticle bioactivity. Utilizing this toolbox, we have developed inorganic nanoparticle hybrids which support the different phases of wound healing.

Job description

In order to decisively advance this innovative inorganic nanoparticle-based technology, we are looking for a postdoctoral researcher interested in unravelling the mechanism of action and the fate of nanoparticle therapeutics by cutting-edge multiscale multimodal analytics, including (spectro)microscopy and multi-omics. We will offer training opportunities in advanced microscopy and spectromicroscopy techniques as well as functional biological assays. The position is initially limited to 18 months with the possibility of extension. The place of work will be Zurich with occasional visits to our satellite lab at the Swiss Federal Laboratories for Materials Science & Technology (Empa) in St. Gallen (1 hr drive/train ride from Zurich).

Your profile

We are looking for a postdoctoral scientist. Prior experience in in vitro and in vivo work, microscopy as well as biochemical tissue analysis is highly desirable. Experience in at least one of the following areas is a must: omics data analysis, electron microscopy, image analysis.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Interested?

We look forward to receiving your online application with the following documents:

• Motivation Letter
• CV
• Publication List
• BSc and MSc Transcripts (or equivalent)
• Contact details of two former line managers

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the Nanoparticle Systems Engineering Lab can be found on our website www.nse.ethz.ch. Questions regarding the position should be directed to Prof. Inge K. Herrmann (ingeh@ethz.ch). Applications by email will not be considered.

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Doctoral researcher (PhD) in Computational Biology / Biostatistics (gn)

 

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. It`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research centre (IC), integrating experimental biology and computational biology approaches in order to develop the foundation of a future predictive, preventive and personalized medicine.

Your Role

We seek a highly motivated computational biologist / bioinformatician (MSc level) who is experienced in the analysis of large-scale biomedical omics or neuroimaging data, using statistical methods and machine learning, and bioscientific data processing and programming. The candidate will conduct integrative machine learning analyses of biomedical data, focusing on molecular, neuroimaging and clinical data for neurodegenerative diseases. This will include the development of new structured machine learning approaches, the application of software to disease-related multimodal datasets, and the joint interpretation of the data together with experimental and clinical collaborators. The project will use new biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models. With the help of pathway-, network- and machine learning analyses, the goal is to improve the mechanistic understanding of molecular and cellular perturbations in common neurological disorders.

Your Profile

• The candidate will have a MSc or equivalent degree in computational biology, bioinformatics, or biostatistics / machine learning
• Prior experience in large-scale data processing and statistics / machine learning is required
• A track record of previously completed courses and/or publications involving analyses of large-scale biological data (e.g. omics, neuroimaging data) should be outlined in the CV
• Demonstrated skills and knowledge in next-generation sequencing data analysis, biostatistics, machine learning, pathway and network analysis are highly advantageous
• The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research
• Fluency in oral and written English

In Short

• Contract Type: Fixed Term Contract
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval
• Student and employee status (36 months studies programme, as per university standards) with project funding available for up to 48 months
• 36 months fixed-term contract (renewable depending on thesis progress evaluation)
• Job Reference: UOL03604

Further Information

Applications should be submitted online and include:

• A detailed Curriculum vitae
• A motivation letter, including a brief description of past research experience and future interests, as well as the earliest possible starting date
• Copies of degree certificates and transcripts
• Name and contact details of at least two referees

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.

*gn=gender neutral.

Here’s what awaits you at the University

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR). 
• A modern and dynamic university. High-quality equipment. WiFi on campus. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure.
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

• Find out more about the University
• Addresses, maps & routes to the various sites of the University

Further information

For further information, please contact: Enrico Glaab

enrico.glaab@uni.lu

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PhD Position in Practical Machine Learning for Biomedicine Simulations

 

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information you may check: www.securityandtrust.lu and http://wwwen.uni.lu/snt/research/sigcom

PhD Position in Practical Machine Learning for Biomedicine Simulations (in joint supervision with LCSB)

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

The successful candidates will join a strong and motivated research team led by Prof. Jacques Klein and Prof. Tegawendé F. Bissyandé in order to carry out research to pursue a PhD on the following topic:

• Integrative Data Analysis in Epilepsy

The successful candidate will also be part of an ambitious and multidisciplinary project named IDEA aiming at developing new AI-based approaches to fight epilepsy. In this context, the candidate will also be supervised by Dr. Alexander Skupin, Professor at the LCSB center of the University of Luxembourg.

The position holder will be required to perform the following tasks:

• Carrying out research in the predefined areas
• Disseminating results through scientific publications
• Participating in proposal drafting

Your Profile

Qualification: The candidate should possess an MSc degree or equivalent in Computer Science or Data Science.

Experience: The ideal candidate should have some knowledge and experience in a number of the following topics:

• AI, machine learning, deep learning
• Data Analytics
• Software Engineering

and be familiar with the principles of

• Explainable Machine Learning

Development skills are a plus

Language Skills: Fluent written and verbal communication skills in English are required. Knowledge of French, German or Luxembourgish is desirable.

Here’s what awaits you at SnT

• A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
• Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
• The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
• Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
• Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
• Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

But wait, there’s more!

• Complete picture of the perks we offer
• Discover our Partnership Programme
• Download the brochure: Why choose SnT for your PhD?

Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

In Short

• Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg
• Internal Title: Doctoral Researcher
• Employee and student status
• Job Reference: UOL04016

Further Information

Applications should be submitted online and include:

• Full CV, including list of publications and name (and email address, etc) of three referees
• Transcript of all modules and results from university-level courses taken
• Short motivation letter

All qualified individuals are encouraged to apply.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

Further information

For further information, please contact us at jacques.klein@uni.lu and tegawende.bissyande@uni.lu

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PhD Position in software engineering for machine-learning systems with application to Smart Grids

 

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates in the general area of software engineering, machine learning systems, simulation-based analysis and smart energy grids. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information you may check: www.securityandtrust.lu and http://wwwen.uni.lu/snt/research/serval

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, headed by Prof. Yves Le Traon. You will contribute more specifically to a partnership project with Creos S.A., the major energy network manager in Luxembourg. The topic of the project is “Secure, Reliable and Predictable Smart Grids” and it concerns the application of machine learning and simulation techniques to predict the impact of customers’ consumption on the Luxembourgish smart grid. The project involves (1) building decision making systems suggesting, based on consumption-related predictions, relevant actions to preserve the stability of the energy network, (2) designing methods to simulate worst-case scenarios (such as incidents) assessing the resilience of the grid to extreme conditions. The project is held in close collaboration with Creos S.A. and, as one of the successful candidates, you will be expected to program prototype tools showcasing the practical benefits of your research outcomes.

The supervision team you will be working with is:

• Dr. Maxime Cordy: research scientist
• Prof. Yves Le Traon: head of SerVal

You will be required to perform the following tasks:

• Carrying out research in the predefined areas
• Survey the scientific literature in the relevant research domains
• Disseminating results through scientific publications
• Communicate with the partner to collect requirements and report results
• Implement proof-of-concept software tools

Your Profile

Qualification: The candidate should possess an MSc degree (or equivalent) in Computer Science, or in Electrical Engineering with strong programming skills and good knowledge of computer science in general.

Experience: The ideal candidate should have some knowledge and/or experience in a number of the following topics:

• Software engineering for machine-learning systems
• Machine learning
• Simulation-based analysis
• Multi-objective optimization
• Smart energy grids
• Data collection and storage pipeline

Strong software development skills are mandatory.

Language Skills: Fluentwritten and verbal communication skills in English are required. French is a plus.

Here’s what awaits you at SnT

• A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
• Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
• The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
• Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
• Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
• Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

But wait, there’s more!

• Complete picture of the perks we offer
• Discover our Partnership Programme
• Download the brochure: Why choose SnT for your PhD?

Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

In Short

• Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required
• Work Hours: Full Time 40.0 Hours per Week
• Start date: between 1^st of October 2021 and 1^st of January 2022, upon agreement
• Employee and student status
• Location: Kirchberg
• Internal Title: Doctoral Researcher
• Job Reference: UOL03747

Further Information

Applications should be submitted online and include:

• Full CV, including list of publications and name (and email address, etc) of three referees
• Transcript of all modules and results from university-level courses taken
• Research statement and topics of particular interest to the candidate (300 words)
• Motivation letter

All qualified individuals are encouraged to apply.

Early submission is encouraged, applications will be processed upon arrival and closed as soon as relevant candidates are retained (regardless of the desired starting date).

Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

Further information

For further information, please contact us at maxime.cordy@uni.lu or yves.letraon@uni.lu

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Doctoral candidate in Test Assessment and Automation of Web Applications

 

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

Enabling automation in the continuous integration process is an emerging and topic for the research community.  In this project, the goal is to apply test automation in a Web Application test infrastructure for the continuous improvement of their testing process, increasing its efficacy, computing its test adequacy and overall measuring testing quality. To this end, the project will develop a “smart” service that will expand the existing test data management solution making it less labour intensive and to a large degree automated. The objective is to introduce test metrics ensuring test quality, identifying ineffective tests (failing to detect regression issues due to incorrect data schema) and support the data management automation.

Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications.

The candidate will be supervised by Dr. Mike Papadakis (https://sites.google.com/site/mikepapadakis/) and the project will be conducted together with the members of the SERVAL research group (https://wwwen.uni.lu/snt/research/serval). 

Your Profile

• Bachelor in Computer Science or related.
• Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology.
• Strong programming skills.
• Strong analytical skills.
• Knowledge of Software testing and particularly Web testing are considered a plus.
• Industry experience in information and communication technology will be considered as an advantage.
• Commitment, team working, a critical mind, and motivation are skills that are more than welcome.
• Optional: knowledge of artificial inteligence, metaheuristics and statistics.

Language Skills: Fluent written and verbal communication skills in English are required.

Here’s what awaits you at SnT

• A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
• Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
• The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
• Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
• Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
• Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

But wait, there’s more!

• Complete picture of the perks we offer
• Discover our Partnership Programme
• Download the brochure: Why choose SnT for your PhD?

Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

In Short

• Contract Type: Fixed Term Contract 36 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg
• Employee and student status
• Job Reference: UOL03732

Further Information

Application should include:

-Full CV, including:

-For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and date (or expected date) of graduation. Include the title and short summary of your final (Bachelor / Master) Thesis if you did one -List of publications (if any) -Name, affiliation and contact details of three referees -Transcript of all modules and results from university-level courses taken -Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page)

All qualified individuals are encouraged to apply.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. It`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

Apply for job

PhD candidates in Joint Sensing and Communications for Emerging Wireless Networks

 

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. The SIGCOM group in SnT is pursuing research on wireless communications and radar signal processing in partnership with national and international academic and industrial collaborators.

As part of the collaboration in the emerging field of joint sensing and communications, SnT/SIGCOM is leading a research project titled, “Sensing-Aided Communication for High Mobility with High Directivity,” in collaboration with Prof. Giuseppe Caire (Technical University, Berlin) and Prof. Gerhard Kramer and Prof. Mari Kobayashi (Technical University, Munich). This research project explores the fundamental aspects of communications for sensing, sensing for communications and integrated sensing and communications from information theoretic, wireless communication and signal processing perspectives in the emerging scenario of high mobility utilizing high frequency bands (and hence directivity) is explored. This fully funded project is aimed at furthering the state-of-the-art in Beyond 5G (B5G, 6G…), pursuing joint research and envisages exchange of researchers.

In the aforementioned project, SIGCOM research group will focus on the signal processing and wireless communication aspects of integrated sensing and communications. It is in a unique position towards realizing the objectives of the project having exposure to radar signal processing through ongoing research projects, evolution of communication standards through participation and contribution as well as experience with prototype chip sets from the test-bench development activity.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

This project will focus on design, optimization and adaptation of a joint radar communication system for the high bandwidth high mobility scenarios. Works on an unified waveform for radar and communications is in its infancy, let alone for high mobility networks. A first research challenge, lies in determining the suitable optimization metric (Mean Square Error, Signal to Noise Ratio, Detection probability etc.). Challenges also arise in determining a parametric model for waveforms that can be used for different flavors of MIMO radar and deriving update methods (or optimizing) for the parameters in the presence of high-mobility leading to poor coherence times.  Particularly, the PhD projects focus on

• Novel high mobility joint radar and communication systems exploring novel architectures (ultra-massive MIMO, intelligent surfaces), new modulation techniques exploiting available dimensions in next generation sub-THz/ THz systems
• High-mobility MIMO Radar and MIMO Communications waveform design dealing with the identification of figure of merit, design of waveform and receiver for JRC set-up and their evaluation in a variety of channel conditions

Your Profile

Qualification: The candidate should possess (or be in the process of completing) a master degree or equivalent in Electrical/Electronic Engineering, Computer Science or Applied Mathematics or Physics with electromagnetic background.

Experience: The ideal candidate should have good theoretical background in a number of the following topics:

• Radar Systems and Signal Processing
• Multiuser MIMO Communications, 5G
• Signal Processing in Wireless Sensor Networks
• Optimization methodologies
• Information Theory
• Machine Learning

Development skills in MATLAB/ python/ LabView is required and exposure to latest communication and radar technologies, linear algebra and Tensors are desirable. Exposure to HW prototyping using USRPs is definitely a plus.

Language Skills: Fluent written and verbal communication skills in English are required.

Here’s what awaits you at SnT

• A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
• Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
• The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
• Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
• Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
• Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

But wait, there’s more!

• Complete picture of the perks we offer
• Discover our Partnership Programme
• Download the brochure: Why choose SnT for your PhD?

Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

In Short

• Contract Type: Fixed Term Contract 36 Month, with a further possible 1-year if required 
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg
• Number of positions: 2
• Internal Title: Doctoral Researcher
• Job Reference: UOL04094

Further Information

Application should be sent online, in English and should include:

• Full CV, including list of publications, bachelor/master thesis and names (and contact information including email addresses) of references
• Transcript of all modules and results from university-level courses taken
• Research statement and topics of particular interest to the candidate (300 words).

All qualified individuals are encouraged to apply.

Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.  The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

Further information

For further information, please contact us at Bhavani.Shankar@uni.lu or Bjorn.Ottersten@uni.lu

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Doctoral candidate (PhD student) in Computer Science

 

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

The research will be carried out at the Interdisciplinary Research Group in Socio-technical Cybersecurity (https://irisc-lab.uni.lu/) led by Prof. G. Lenzini, within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

• Conduct highly innovative research in the field of cybersecurity and online privacy on a project entitled “Modelling and assessment of online deception”. Your main objective consists in elaborating a functional characterization of manipulative and deceptive attempts in digital services (i.e., dark patterns), through the design of formal models of trust and untrustworthiness, and the development of tools for the automatic detection and classification of dark patterns in online interactions
• Collaborate with researchers of various disciplines, as the project explores online manipulation through an interdisciplinary approach combining computer science, human-centred design, engineering, law and ethics
• Publish research results and present them at international conferences
• Contribute to reports and research publications
• Engage in dissemination of results to stakeholders
• Write a cumulative PhD thesis

Your Profile

• Master’s degree in Computer Science
• Ability to formalize problems and to reason computationally
• Familiarity with formal methods of analysis, data science, and machine learning
• Strong interest in interdisciplinary research
• Interest in cybersecurity and data privacy, including their legal and ethical aspects
• Proficiency in English (oral and written)
• Good academic writing and excellent communication skills
• Inquisitive and critical mind, collaborative attitude
• Ability to work independently and to organize your work
• Scientific integrity and ethical code of conduct

Here’s what awaits you at SnT

• A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
• Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
• The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners
• Multiple funding sources for your ideas. The University supports researchers to acquire funding from national, European and private sources
• Competitive salary package. The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating
• Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more

But wait, there’s more!

• Complete picture of the perks we offer
• Discover our Partnership Programme
• Download the brochure: Why choose SnT for your PhD?

Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.

In Short

• Contract Type: Fixed Term Contract 36 Month with a further possible 1-year extension if justified and after evaluation
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval
• Employee and student status
• Job Reference: UOL04171

Further Information

Applications (in English) should be submitted through the University’s HR system and include all of the following:

• Detailed curriculum vitae
• Digital copy of diploma certificates and transcript of records
• A research statement (2 pages at most) on the following subject: “Dark patterns and other online deceptive patterns: how to define and recognize them.”
• A motivation letter detailing why you intend to undertake a PhD
• Contact information of three referees.

Deadline for applications: there is no formal deadline, but early application will be processed upon receipt. Selected candidates will be contacted for an oral interview.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

About the University of Luxembourg

The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character. It fosters the cross-fertilisation of research and teaching, is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.

Further information

For further information, please contact
Prof. Lenzini (gabriele.lenzini@uni.lu) and Dr. A. Rossi (arianna.rossi@uni.lu)

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