28 Postdoc positions at University of Luxembourg

8 fully funded PhD positions at University of Luxembourg, Luxembourg


1. PhD position: Physics (halide organic/inorganic perovskites, surface science)

The successful PhD candidate will work in the field of halide organic/inorganic perovskites. This material class is of extreme importance for the development of highly efficient and cheap single and multi-junction solar cells. The project consists of synthesizing low dimensional perovskites via multistage evaporation and to study these materials on the atomic scale with scanning probe microscopy methods, such as scanning tunneling spectroscopy and Kelvin Probe Force Microscopy. The work will be carried out under the supervision of Prof. Dr. Alex Redinger.

Deadline : Open until filled

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2. PhD position: Statistics and Probability

The successful candidates will be expected to conduct research under the guidance of professors (names and areas of expertise listed above), with the aim of obtaining a PhD in mathematics. They will also be expected to contribute to the department’s many activities, including seminars, teaching, outreach and various other research related events. Our departments offer an outstanding and dynamic environments for PhD candidates, with multiple seminars, working groups, colloquia, and doctoral schools which also grant access to multiple training opportunities, including some not only focused on mathematics.

Deadline : Open until filled

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3. PhD position: Physics (Solar Cells)

The PhD student will be a member of the Department of Physics and Materials Science within the Faculty of Science, Technology and Medicine at the University of Luxembourg. She or he will perform research under the supervision of Prof. Dr. Siebentritt.

Activities

  • Preparation by co-evaporation of chalcopyrite films and solar cells
  • Photoluminescence and solar cell characterisation
  • Data analysis and modelling
  • Publications in international journals and conferences
  • Thesis writing

Deadline : Open until filled

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 4. PhD Position: Computer Science 

The selected applicant will be integrated into AI Robolab led by Prof. Leon van der Torre. The applicant will be a member of the Doctoral School in Science and Engineering (DSSE), which offers a doctoral programme in computer science that aims to provide interdisciplinary and internationally competitive research training.

The candidate is one of 18 PhD students within D4H and will work within the FNR-funded research training group “Deep Data Science of Digital History”. This interdisciplinary DTU focuses on various challenges at the interface between the disciplines of history, AI, data science and human-computer interaction. D4H involves the Centre for Contemporary and Digital History (C²DH) of the University of Luxembourg, the Department of Computer Science of the Faculty of Science, Technology and Medicine (FSTM), the Institute of History (IHIST) of the Faculty of Humanities, Education and Social Sciences (FHSE), the Luxembourg Institute of Science and Technology (LIST) and the Institute of Socio-Economic Research (LISER).

Deadline : 02 October 2022.

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5. PhD position: Machine Learning for Digital Twin in Aerospace Industry

In this context, the PhD candidate will be in charge of investigating innovative Machine Learning (ML)-based solutions and methodologies to predict the Remaining Useful Life (RUL) of the aircraft structure [Ra19] using, among other data sources, the data generated by the “smart skin” during the operational phase, and communicate the estimations to the end-user in the form of actionable maintenance indications. Several scientific challenges will be addressed in this PhD, spanning from the necessity to efficiently and optimally cope with (i) imbalanced data [DA22] by e.g. generating synthetic data using GAN/transformers; (ii) possible model drifts over time [Lu18] by e.g. developing ‘vigilance’ mechanisms to detect them and trigger appropriate actions (e.g., rising alerts to operators, model re-training, etc.); or still to cope with (iii) the lack of transparency and explainability of existing ML techniques [Sa19] by e.g. implementing and comparing existing eXplainable AI (XAI) frameworks when dealing with aircraft PdM and time series, and, if needed, to adapt them to our problem.

Overall, this PhD will be enrolled in a very exciting, collaborative and international project granted under the Horizon Europe programme (see the call at: https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-cl5-2022-d5-01-13), giving the opportunity for the candidate to meet and spend some times with the different partners from the consortium such as Imperial College London (ranked as the 7th best university in the world), EVEKTOR and Nordic Wing (aircraft manufacturers) respectively located in Czech Republic and Denmark.

Deadline : Open until filled

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6. PhD position: Spontaneous Applications for Next Generation Radar Sensing Networks

The group has been working on next generation radar sensors in different applications, including  automotive, autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare and robotics. The emerging radar sensors that are in use by the group, are using multiple input multiple output (MIMO) technology and can be connected to build distributed and co-operative sensing networks.   SPARC group has further expanded its research to integrated sensing and communications, weather radar systems and metacognitive radars,. To develop the signal processing techniques, the group researchers are using real data captured by the available radar modules at the lab, or the custom built MIMO radar with flexibility of changing the transmit waveform and signal processing units on the fly.  Its members have been involved in a number of seminal papers in the area of waveform optimization, vital signs monitoring, joint radar and communications, sparse arrays, interference modeling, 4D radar imaging, distributed sensing, and tracking. SPARC has also collaborating with long term industry partner IEE S.A (www.iee.lu) , University of Naples Federico II, US Airforce Laboratories, TU Berlin and TU Munich among others.

Deadline : Open until filled

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7. PhD positions: Active phenomena across scales in biological systems (PRIDE grant)

The successful candidates will be expected to conduct research with the aim of obtaining a Doctorate in either Physics, Biology or Engineering Science. They will also be expected to contribute to the institution’s activities, including seminars, teaching, outreach and various other research related events.

Our consortium offers an outstanding and dynamic environment for doctoral candidates, with multiple seminars, working groups, colloquia, and a doctoral school which also includes access to scientific and transferable skills training opportunities.

What we expect from you…
  • Master’s Degree (or equivalent) obtained with top grades in any branch of computer, engineering, mathematical or natural science that has relevance (to be justified in the application) for studying Active Phenomena in Biology. (The degree must be obtained before the beginning of the contract but you can apply before)
  • Good command of written and spoken English
  • Very strong dedication to do state of the art research

Deadline : Open until filled

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8. PhD Position: Photovoltaics

LEM is seeking a Ph.D candidate to investigate new semiconductor deposition methods for thin film solar cells with proposed application of building integrated photovoltaics. The candidate will join the doctoral programme in physics and materials science. The tasks of the candidate include

  • Synthesis, materials and device characterization
  • Publishing research papers and presenting at international conferences
  • Writing a Ph.D thesis
  • Providing support to masters students and visiting researchers
  • Teaching and outreach opportunities
What we expect from you…
  • Masters degree in chemistry, materials science or physics with excellent grades
  • Solid background or previous experience in one of the following research fields is an advantage: inorganic or physical chemistry, solid state or condensed matter physics
  • Fluent written and verbal communication skills in English

Deadline : Open until filled

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