Postdoctoral studies in translational immunology focusing on autoimmunity and lymphoma affecting the skin (scholarship)

 

Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Join our truly translational scientific constellation focusing on tissue inflammation: a creative and inspiring environment full of expertise and curiosity.

Division

The Department of Medicine, Solna, is one of the largest departments at Karolinska Institutet. The department consists of several units that are separated into different research groups. The core activities of the department are research, doctoral education and undergraduate education for medical and biomedical students. The research has three main profiles: allergy, cardiovascular medicine and inflammatory diseases.

The laboratory of Hanna Brauner is located in an excellent immunological research environment at the Centre for Molecular Medicine, CMM. The close proximity of the laboratory to the clinic at the Karolinska University Hospital also facilitates collaborations with clinicians of different fields and enables the analysis of fresh patient samples.

Duties

We seek a highly motivated postdoctoral fellow to join the team of MD PhD Hanna Brauner in focusing on finding novel pathogenic mechanisms and biomarkers for patients with autoimmunity and lymphoma.

We have access to unique clinical material, which we will assess in a truly translational approach, applying cutting edge methods to understand key clinical questions. The team of Hanna Brauner has a net-work of national and international collaborators among both basic science researcher and clinical researchers and is associated to the research group of professor Marie Wahren Herlenius.

Our main research interest is to understand pathways governing development of systemic inflammatory diseases and lymphoma and the link between those two, since patients with autoimmune diseases run an increased risk of developing lymphoma and other cancers. We will investigate possible immune mechanisms and tumor properties governing cancer development in patients with autoimmunity, including dermatomyositis and systemic lupus erythematosus. In addition, we focus on cutaneous T cell lymphoma, which is a rare type of lymphoma primarily engaging the skin. The unique accessibility of this disease allows for easy access to the tumor and the possibility to follow the development of the lymphoma and anti-lymphoma immune responses over time. Most of the patients with cutaneous T-cell lymphoma get an indolent disease, but for largely unknown reasons around 10-15% percent develop aggressive disease with high fatality. In these efforts our ultimate aims are to increase fundamental knowledge on the pathogenesis of cutaneous lymphoma and cancer in autoimmunity and aid earlier identification of patients at risk of aggressive disease. 

To reach our goal have set up a strong collaborative team of researchers and clinicians in dermatology, hematology, rheumatology, oncology, pathology, immunology and epidemiology to take a broad approach. Our research originates in clinical questions and patient material paired with high level basic science experimental investigations.

The position includes experimental work, primarily with clinical material and cell lines but possibly also animal experiments. Key techniques include in vitro assessments of immune cell phenotype and function, advanced flow cytometry, immunohistochemistry, spatial proteomics and transcriptomics, single cell RNA sequencing and confocal microscopy

Entry requirements

Applicants are required to have a PhD in immunology, cell biology or another relevant field. A strong publication record and ability to draft manuscripts is also desired. The successful applicant further has strong interpersonal skills, motivation and organizational and executive capacity.

Scholarships for postdoctoral qualification can be established for foreign researchers who place their qualifications in Sweden. The purpose of scholarships for postdoctoral qualification is to promote internationalization and contribute to research qualification after a doctorate or equivalent.
A scholarship for carrying out postdoctoral research can be granted for a maximum of two years within a four year period following the receipt of a doctoral degree or equivalent.
To be eligible for a postdoctoral scholarship, the person must have obtained a doctorate or a foreign degree deemed to be equivalent to a doctorate. Applicants who have not completed a doctorate at the end of the application period may also apply, provided that all requirements for a completed degree are met before the (intended) start date of the post doctoral education.

The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish doctorate or higher.

Location

The position is located within the Department of Medicine, Solna. The department consists of twelve divisions and each division consists of several research groups. The position is located within the research group of Marie Wahren-Herlenius, research team Hanna Brauner. Please see our websites for more information: https://staff.ki.se/people/hanna-brauner, https://ki.se/en/meds/hanna-brauner-teamhttps://centermolecularmed.wixsite.com/my-site/hanna-brauner-team

Type of scholarship

The amount is tax free and it is set for twelve months at a time, paid out on a six months basis. In exceptional cases, shorter periods may be acceptable.

Application process

An application must contain the following documents in English or Swedish:

  • A complete curriculum vitae, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work
  • A complete list of publications
  • A summary of current work (no more than one page)

The application is to be submitted on the Varbi recruitment system.

Want to make a difference? Join us and contribute to better health for all

Reference numberSTÖD 2-4471/2022
Contact
  • Hanna Brauner, hanna.brauner@ki.se
Union representative
  • Afsar Rahbar OFR, Afsar.Rahbar@ki.se
  • Bruna Gigante, SACO, bruna.gigante@ki.se
  • Louisa Cheung, SACO, Louisa.Cheung@ki.se
Published15.Nov.2022
Last application date06.Dec.2022 11:59 PM CET

Postdoctoral position in Economics, Applied Statistics or related disciplines

 

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide. 

The Faculty of Humanities, Education and Social Sciences (FHSE) brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed.

The faculty’s research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The FHSE offers six Bachelor and twenty Master degrees and a doctoral school providing students with the necessary knowledge and high-qualified skills to succeed in their future career.

The research group ‘Economic and Social Well-being’ of the Institute for Health and Behaviour, led by Prof. Conchita D’Ambrosio, is looking for one post-doctoral researcher to conduct cutting-edge multidisciplinary research on the individual life-course from a social-science perspective.

Our research focus is both theoretical and applied. We work to provide theoretically-sound measures of various phenomena - such as economic insecurity, multidimensional poverty, relative deprivation, resilience, and social exclusion - that are becoming increasingly common in our societies. We also explore the impacts of various life events on measures of well-being via the use of panel and birth-cohort data. We enrich the traditional approach followed in the Social Sciences with insights from Biology looking at variables related to DNA and DNA Methylation. We are interested, for example, in the well-being and behavioural consequences of economic insecurity, how economic resources change over the life-cycle, and how economic shocks may have epigenetic impacts on biological aging and the resulting health and well-being implications.

Your Role...
  • Develop quantitative research on measuring individual and social well-being
  • Develop quantitative research on the analysis of the effects of socio-economic and demographic factors on an individual’s life-course
  • Disseminate results through scientific publications, workshops and conferences
  • Interact with the research-team members and colleagues, and participate in project meetings
  • Provide research assistance and assistance in managing an editorial office
  • Contribute to the preparation of research grant proposals
What we expect from you…
  • Ph.D. in Economics, Applied Statistics, or a related discipline
  • Experience in handling longitudinal and birth-cohort datasets
  • Extensive experience in quantitative research (Stata, R, Python, etc.)
  • Fluent in English (speaking and writing)

Offer...

Generous research support, and an attractive working environment in one of the most enjoyable European cities (http://www.euraxess.lu).

In Short...
  • Contract Type: Fixed Term Contract 24 Month (renewable for a maximum of 5 years in total)
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Belval
  • Job Reference: UOL05358

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)

How to apply...

Applications should be submitted online and include:

  • A full CV
  • A research summary with a list of publications (including those in preparation)
  • A cover letter
  • Contact details of two individuals who are willing to provide a letter of recommendation
  • Copies of relevant academic transcripts will be requested at some point during the selection process

All correspondence should be in English.

We ensure a full consideration for applications received by 30/11/2022. 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.

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. 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 …

Research Associate (Postdoc) in RIS (Reflective Intelligent Surfaces) and Phase Arrays Antenna Design for Millimeter-wave Applications

 

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated and outstanding researchers in the general area of antenna and Reflective Intelligent Surfaces design within its Signal Processing and Communications (SIGCOM) research group. SnT carries out interdisciplinary research in secure, reliable, and trustworthy ICT systems and services, often in collaboration with industrial, governmental, or international partners. For further information, you may refer to www.securityandtrust.lu

The research group focuses on wireless/satellite communications and networking and is headed by Prof. Symeon Chatzinotas. The research areas focus on the formulation, modeling, design, and analysis of future 5G and beyond communication networks that are capable of supporting new services in a cost-efficient manner. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications and key distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. As far as technical enablers are concerned, we leverage expertise on massive MIMO cell-free communications, smart-radio environments through the use of intelligent surfaces, machine-type and ultra-reliable and low-latency communications, edge computing and caching, RAN slicing, and network softwarization and visualization. Finally, due to the large-scale nature, complexity, and heterogeneity of 5G and beyond networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the SDR CommLab, the SDN Lab, the 5G-Space Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://wwwen.uni.lu/snt/research/sigcom

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 candidate will contribute to a Horizon SNS project on 6G with the main topic on Reflective Intelligent Surfaces (RIS) for Terahertz applications that will start on 01/01/2023. In addition, the candidate will have to contribute to ongoing, and future research projects, mainly in the field of antenna design and manufacturing focused on phase array design and additive manufacturing.

In summary, the position holder will be required to perform the following tasks:

  • Investigation and analyzing mathematical models for the design of RIS for millimeter-wave applications
  • Investigating, analyzing, designing, and prototyping phased array antennas for micro and millimeter-wave applications
  • Investigating using different additive manufacturing techniques for antenna implementation
  • Investigating efficient artificial intelligence (AI)-based solutions to tackle the main challenges in phase arrays design for millimeter-wave applications
  • Disseminating results through scientific publications and conferences
  • The candidate is expected to actively contribute to the different research projects at SnT, either coordinating technical contributions and/or preparing project deliverables
  • Preparing new research proposals to attract industrial, national, and European projects
  • Providing assistance in the supervision of Ph.D. students
Your Profile...
  • A Ph.D. degree in Telecommunication Engineering or Electrical Engineering, focused on RIS and phase arrays antenna design
  • International postdoc experience is desirable
  • Sound publication track record in relevant international conferences and top journals in the following research areas (at least one IEEE Transaction publication is mandatory):
    • Planar periodic structures or metasurfaces for micro and millimeter-wave applications
    • Phase array design and simulation for micro and millimeter wave applications
  • Experience with optimization tools and typical convexification strategies
  • Experience with machine learning and artificial intelligence is highly desirable
  • Strong design skills in CST Microwave Studio, Advance Design System (ADS), and High-Frequency Simulations Software (HFSS) design tools are mandatory
  • Experience in MEEP programming is desirable but not mandatory
  • Strong programming skills in MATLAB. Python, JULIA, and C++ are desirable but not mandatory
  • Experience in working with industrial projects or publicly funded research projects is highly desirable
  • Highly committed, excellent team worker, and strong critical thinking skills
  • Excellent written and verbal communication skills in English
Here’s what awaits you at SnT...
  • 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 55 industry partners
  • 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

Find out more about us!

In Short...
  • Contract Type: Fixed Term Contract 24 Month (which may be extended up to five years)
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Kirchberg
  • Job Reference: UOL05355

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)

How to apply...

Applications in English should include:

  • Curriculum Vitae, including:
    • Contact address
    • For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation
    • Include the title and summary of your Ph.D. Thesis and supervisor name (and Bachelor / Master Thesis if you did one)
      • If you do not have yet received your Ph.D. but will do soon, please include a tentative graduation date.
    • List of publications (authors, title, journal/conference name, and date of publication). Provide a link in case of open access
    • Name, affiliation, and contact details of three referees
  • 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...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Further information

For further information, please contact: Dr. Juan A. Vásquez-Peralvo (juan.vasquez@uni.lu)

Research Associate (Postdoc) in Distributed Artificial Intelligence for 6G Networks

 

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated and outstanding researchers in the general area of edge artificial intelligence (AI) for 6G networks within its Signal Processing and Communications (SIGCOM) research group. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. For further information, you may refer to www.securityandtrust.lu

The research group focuses on wireless/satellite communications and networking and is headed by Prof. Symeon Chatzinotas . The research areas focus on the formulation, modelling, design, and analysis of future 5G and beyond communication networks that are capable of supporting new services in a cost-efficient manner. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications and key distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. As far as technical enablers are concerned, we leverage expertise on massive MIMO cell-free communications, smart-radio environments through the use of intelligent surfaces, machine-type and ultra-reliable and low-latency communications, edge computing and caching, RAN slicing, and network softwarization and visualization. Finally, due to the large-scale nature, complexity, and heterogeneity of 5G and beyond networks, for their analysis and optimization we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the SDR CommLab, the SDN Lab, the 5G-Space Lab, our SW Simulators, and our OTA Facilties. For further information, you may refer to https://wwwen.uni.lu/snt/research/sigcom

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 candidate will primarily contribute to the large Horizon Europe research project ETHER – sElf-evolving terrestrial/non-Terrestrial Hybrid nEtwoRks that is to start on 01/01/2023. ETHER is going to provide a framework for the integrated terrestrial/non-terrestrial network ecosystem that involves an efficient and zero-touch resource management, provides solution for key radio access network challenges, and identifies the business opportunities for potential stakeholders. To realize this novel system concept, ETHER relies on a multi-layered and unified space-aerial-terrestrial architecture, leveraging the benefits of Artificial Intelligence/ Machine Learning (AI/ML) for the optimization of the highly complex and heterogeneous “network of networks”. It will rely on the generation and processing of a massive amount of data that spans the terrestrial, aerial, and space networks. This data will be generated, e.g., by satellites, high altitude platforms (HAPS), Unmanned Aerial Vehicles (UAVs), airplanes, small cells, and User Equipment (UE)/Internet-of-Things (IoT) devices and can reveal hidden trends, thus, proactive network adaptation to foreseen requirements can be achieved. Due to the massive scale of these data, distributed AI/ML approaches are essential, such as multi-agent reinforcement learning and federated learning. Apart from ETHER, the successful candidate is expected to contribute to the development of such a distributed learning framework for additional applications that are of interest to SIGCOM. Indicative areas of interest are Industry 5.0, autonomous driving, and smart healthcare.

In summary, the position holder will be required to perform the following tasks:

  • Contribute to the development of distributed AI/ML solutions for the Horizon Europe project ETHER – sElf-evolving terrestrial/non-Terrestrial Hybrid nEtwoRks
  • Contribute to the development of distributed AI/ML solutions in further fields of interest to SIGCOM, such as Industry 5.0, autonomous driving, and smart healthcare
  • Disseminating results through scientific publications and conferences
  • The candidate is expected to actively contribute to the different research projects, either coordinating technical contribution and/or preparing project deliverables
  • Preparing new research proposals to attract industrial, national, and European projects
  • Providing assistance in the supervision of PhD students
Your Profile...
  • A PhD degree in Telecommunication Engineering, or Electrical Engineering, or Computer Science/engineering with a focus on AI/ML tools and methods
  • Sound publication track record in relevant international conferences and top journals
  • Good knowledge on distributed learning approaches, such as federated and multi-agent reinforcement learning
  • Background in optimization theory                               
  • Background in general wireless communications will be considered as an advantage
  • Strong programming skills in MATLAB, Python or C++. Other simulation languages such as JULIA are a plus
  • Experience of working with industrial projects or public funded research projects is highly  desirable
  • Highly committed, excellent team-worker, and strong critical thinking
  • Excellent written and verbal communication skills in English
Here’s what awaits you at SnT...
  • 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 55 industry partners
  • 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

Find out more about us!

In Short...
  • Contract Type: Fixed Term Contract 24 Month (which may be extended up to five years)
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Kirchberg
  • Job Reference: UOL05357

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)

How to apply...

Applications in English should include:

  • Curriculum Vitae, including:
    • Contact address
    • For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation.
    • Include the title and short summary of your PhD Thesis and supervisor name (and Bachelor / Master Thesis if you did one)
      • If you do not have yet received your PhD but will do soon, please include a tentative graduation date
    • List of publications (authors, title, journal/conference name and date of publication). Provide a link in case of open access
    • Name, affiliation and contact details of three referees
  • 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...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Further information

For further information, please contact: Dr. Konstantinos Ntontin (kostantinos.ntontin@uni.lu)

Research Associate (Postdoc) in Computer Science for Low-code tools in artificial Intelligence

 

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...

This is a fully funded Postdoc position for 12 months (possible extension(s) up to 5 years in total). The position holder will be involved in the National Centre of Excellence in Research in Financial Technologies (“NCER-FT”) project. The topic is about enabling the power of machine learning in banking and finance for people without the necessary maths and/or data/computer science background. A low-code tool for finance people. The position requires skills in both machine learning and software engineering.

The NCER-FT aims to establish a Centre of Excellence in Research in Financial Technologies to strengthen Luxembourg’s position as an innovative financial hub by attracting talents and provide world class research and education.  The successful candidate will be working closely with Prof. Mats Brorsson (SEDAN research group, SnT, University of Luxembourg), Prof and Dr Szofia Kräussl (Faculty of Law, Economics and Finance, University of Luxembourg) and other team members. She/He will:

  • Carry out applied research on and develop:
    • Low/no code Machine learning tools to perform
      • Data exploration
      • Data fusion
      • Machine learning algorithms

                      In the Finance/Banking domain

    • Data privacy concerns 
  • Publish results in high-quality journals and conferences
  • Work together with students and researchers at Department of Finance who will act as end-users.
  • Provide guidance to PhD students
  • Disseminate results through scientific publications.
  • Collaborate with stakeholders in grant and industry funded projects.
Your Profile...
  • A PhD degree in Computer Science, Software engineering or a related field
  • Demonstrated experience in publishing high-quality research
  • Highly experienced in one or more of the following topics:
    • Machine Learning / Deep Learning
    • Applied Mathematics
    • Data science
    • Software engineering
  • Experience with European projects (FP7/H2020), national/international projects and/or industrial projects
  • Commitment, team working and a critical mind
  • Strong development skills in Python, C++, and/or Rust
  • Familiarity with deep learning frameworks such as Pytorch and Tensorflow
  • Fluent written and verbal communication skills in English are mandatory

Knowledge of French, German, or Luxembourgish is not required.

Here’s what awaits you at SnT...
  • 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 55 industry partners
  • 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

Find out more about us!

In Short...
  • Contract Type: Fixed Term Contract 12 Month (with a possibility to extend)
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Kirchberg
  • Job Reference: UOL05346

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)

How to apply...

Applications should include:

  • Curriculum Vitae including contact address
  • List of publications (authors, title, journal/conference name and date of publication). Provide a link in case of open access
  • Name, affiliation, and contact details of three referees
  • Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page)

Further: For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation. Include the title and short summary of your PhD Thesis and supervisor name (and Bachelor / Master Thesis if you did one); if you have not yet received your PhD but will do soon, please include a tentative graduation date.

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...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Further information

For further information, please contact: Dr. Mats Brorsson (mats.brorsson@uni.lu).

Research Associate (Postdoc) in Signal Processing Based Solutions for THz Ultra-Massive MIMO Systems with RISs for 6G

 

The University of Luxembourg is seeking to hire a highly motivated and an outstanding researcher in the area of signal processing-based solutions for 6G wireless systems for its Interdisciplinary Centre of Security and Trust (SnT), within the Signal Processing and Communications (SigCom) research group headed by Prof. Symeon Chatzinotas. The selected candidate will work on a recently awarded Horizon SNS project on 6G 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 SigCom research group works across the entire spectrum of blue-sky research and applied research to conceive and demonstrate future communication paradigms. Researchers with an interest in terrestrial and non-terrestrial communication systems, will find a large and vibrant team of over 70 members fostering a collaborative atmosphere. SIGCOM’s state-of-the art facilities include 4 physical laboratories: the Software Defined Networking Lab, the Communications Lab, the 5G Space Communication Lab, in addition to the SATCOM Lab of the Interdisciplinary Space Master. The group is also the recipient of numerous awards, such as the European Association for Signal Processing (EURASIP) Group Technical Achievement Award, the IEEE Communications Society Distinguished Contributions to Satellite Communications Award, as well as 4 European Research Council grants.

We are 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 candidate is expected to perform the following tasks:

  • Analyzing and investigating efficient signal processing methods for ultra-massive multiple-input multiple-output (MIMO) networks with reconfigurable intelligent surfaces (RISs) over THz wireless channels
  • Developing low-complexity channel estimation/prediction, beam training/tracking, hybrid (analog/digital and active/passive) precoding, and resource management schemes for both co-located and distributed THz wireless networks
  • Investigating the spectral and energy efficiency performance of 6G networks with various types of RISs (active, passive, reflective, and transmissive), and analyze the resultant complexity/performance trade-offs
  • Investigating efficient artificial intelligence (AI)-based solutions to tackle the main challenges in RIS-aided ultra-massive MIMO systems over THz channels
  • Disseminating results through scientific publications and conferences
  • The candidate is expected to actively contribute to the different research projects at SnT, either coordinating technical contribution and/or preparing project deliverables
  • Preparing new research proposals to attract industrial, national, and European projects
  • Providing assistance in the supervision of PhD students
Your Profile...
  • A PhD degree in Telecommunication Engineering, Electrical Engineering or Computer Science/engineering with a focus on wireless communications
  • International postdoc experience is desirable
  • Sound publication track record in relevant international conferences and top journals in the following research areas (at least one IEEE Transaction publication is mandatory):
    • Multi-antenna signal processing, e.g. beamforming/precoding
    • Radio resource management, e.g. power/bandwidth allocation, interference suppression, user scheduling
    • RIS-aided networks and/or THz communications
  • Experience with a number of optimization tools and typical convexification strategies
  • Experience with machine learning and artificial intelligence is highly desirable
  • Strong programming skills in MATLAB. Python, JULIA and C++ are desirable but not mandatory
  • Experience of working with industrial projects or public funded research projects is highly desirable
  • Highly committed, excellent team-worker, and strong critical thinking skills
  • Excellent written and verbal communication skills in English
Here’s what awaits you at SnT...
  • 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 55 industry partners
  • 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

Find out more about us!

In Short...
  • Contract Type: Fixed Term Contract 24 Month (extendable up to a total of 60 months)
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Kirchberg
  • Job Reference: UOL05372

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 77167 (full time)

How to apply...

Applications, written in English should be submitted online and include:

  • Curriculum Vitae, including:
    • Contact address
    • For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation. Include the title and short summary of your PhD Thesis and supervisor name (and Bachelor / Master Thesis if you did one)
      • If you have not yet received your PhD but will do soon, please include a tentative graduation date
    • List of publications (authors, title, journal/conference name and date of publication). Provide a link in case of open access
    • Name, affiliation, and contact details of three referees
  • 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...

University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Further information

For further information, please contact: Dr. Zaid Abdullah (zaid.abdullah@uni.lu).

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47 Postdoctoral Scholarships at The University of Georgia in United States