This PhD thesis research is part of a four-year European FET-Open project called LMCat (http://lmcat.eu/) bringing together five European labs, including the ESRF and the CEA-INAC, to develop the growth of defect-free two-dimensional materials by liquid-metal catalytic routes. Two-dimensional materials (2DMs) such as graphene, hexagonal boron nitride or silicene, are currently amongst the most intensively studied classes of materials that hold great promise for future applications in many technological areas. However, the main hurdle against practical utilization of 2DMs is the lack of effective mass production techniques to satisfy the growing qualitative and quantitative demands of high quality 2DMs for scientific and technological applications. Using liquid metal catalysts (LMCats) bears the prospect of a continuous production of 2DMs with unprecedented quality and production speed. However, the current knowledge about the catalytic properties of LMCats is extremely poor, as they had no technological significance in the past. There are no neither well-established experimental facilities, nor theoretical frameworks to study the ongoing chemical reactions on a molten surface at elevated temperatures and under a reactive gas atmosphere. A central lab under supervision of several scientific/engineering teams across Europe will be established at the ESRF to develop an instrumentation and methodology capable of studying the ongoing chemical reactions on the molten catalyst, with the goal to open two new lines of research, namely in situ investigations, especially using synchrotron X-rays, on the catalytic activity of LMCats in general, and unravelling the growth mechanisms of 2DMs on LMCat surfaces in specific. The gained knowledge will be used to establish the first efficient mass production method for 2DMs using the new LMCat technology. This will open up the possibility of exploiting the unique properties of 2DMs on an industrial scale and in every day devices.
You will join a team of PostDocs and PhD fellows who will develop and investigate the growth of 2D materials on liquid metals surfaces using an especially developed growth reactor which will be placed at the ESRF, Grenoble. The growth by chemical vapor deposition at high pressure and temperatures will be characterized in situ, by means of two main techniques: Raman and X-ray scattering (Grazing Incidence X-Ray Scattering and Reflectivity). It will be complemented by theoretical calculations performed in Munich. More specifically, you will be in charge, together with a PostDoc, of the in situ synchrotron X-ray scattering measurements, which will make use of the ESRF ID10 liquid scattering beamline (http://www.esrf.eu/UsersAndScience/Experiments/CBS/ID10) and diffractometer as well as of the P08 beamline of PETRA-III and the LISA diffractometer (photonscience.desy.de/facilities/petra_iii/beamlines/p08_highres_diffraction/index_eng.html), in Desy. This will be a unique opportunity to collaborate with a diverse group of multidisciplinary researchers from Greece, Germany, The Netherlands and France. You will work under the supervision of Oleg Konovalov, the ESRF scientist in charge of the ID10 beamline (5 people), and of Gilles Renaud from CEA/INAC.
More info can be found here.
There are 13 PhD positions available at Wetsus, a company that focuses on “Sustainable Water Technology”. More information can be found here.
Wetsus offers an exciting PhD opportunity for a dynamic personality, at the interface of high quality scientific research and cutting-edge technology development within its internationally recognized PhD programme.
The objective of the PhD project is to develop and validate new reactor concepts for photochemical water treatment that make use of vacuum UV radiation at 185 nm provided by low pressure mercury lamps besides the emission line at 254nm. The PhD candidate will design a new reactor modifying geometry, flow patterns and reagents. Experimentation will analyse the suitability of the rich photochemistry provided by vacuum UV irradiation to eliminate anthropogenic micropollutants in the presence of organic and inorganic constituents of drinking water and secondary effluent. The PhD candidate will specifically verify that the risk for generating secondary water quality hazards, e.g. unwanted byproducts, is not increased compared to the current AOPs. Verification and data analysis as well as design of new reactors will be supported by advanced numerical modelling techniques including chemical models, flow models (Computational Fluid Dynamics), and irradiation models, which will in fact constitute a main tool used by the PhD candidate. The PhD project thus entails two major parts: photochemical experiments and numerical modelling. The PhD candidate should have demonstrated expertise in at least one of these fields and preferably both.
The PhD project will benefit from the extensive collaboration already taking place among the various institutions involved in this theme. As such, the Ph.D. candidate selected for this project will be requested to travel in various geographies where some sponsoring institutions are headquartered (Spain, Canada and UK, beside Netherlands) and spend some periods of this doctorate in the form of internships in their premises.The candidate will conduct the PhD in a dynamic environment within the Wetsus Priority Compounds Research Theme under the supervision of promoter and co-promoter(s). Dr Wolfgang Gernjak (Catalan Institute for Water Research, Spain) will be the principal promoter and advise the candidate on water quality aspects. Dr Bas Wols will be responsible for the day-to-day supervision at Wetsus and Dr. Domenico Santoro will contribute with modelling expertise to the PhD project. The PhD will be carried out in close collaboration with the industry members of the Wetsus Research Theme, most notably Trojan Technologies, PWN Technologies and Anglian Water. Wetsus provides further opportunities for complementary training within its PhD programme, e.g. on required technical skills, but also so-called soft skills.
More info, including selection criteria and the application procedure, can be found here.
The electroencephalogram (EEG) is a most valuable tool in the diagnostic process of epilepsy. At present, the interpretation in a clinical setting is typically performed by visual analysis. Limitations of this approach include subjectivity, a long training period and the time needed for review.
This project aims to develop, evaluate and introduce a system that assists in the visual analysis of the EEG, both to improve efficiency and diagnostic accuracy. Important challenges include detection and classification of epileptiform discharges, the implementation of a decision algorithm and presentation of the results in a digestible format to the clinician. Proposed strategies include template matching for the detection of transients and machine learning. Finally, the system must be evaluated in a clinical setting, where it, ideally, performs like a human EEG expert to assist the neurologist or clinical neurophysiologist. This latter aspect is an important part of the project.
Candidates should have a Master’s degree in e.g. Computer Science, Applied Mathematics, Technical Medicine, Biomedical Engineering, Applied Physics or Electrical Engineering, with a strong interest in biomedical signal analysis, machine learning and interactions with clinicians or neurologists.
When you are interested in this PhD position, you can find more information on the website of the Clinical Neurophysiology group about solicitation procedures and requirements: