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Master Student Internship in Graphical Interface for a composite material software (M/F)

The proposed research project will be carried out by the “Sustainable Polymeric & Composite Materials” unit of Materials Research and Technology department. The group of "Design and Durability" is involved. This group (made of 9 people) is dedicated to constitutive modelling of composites, damage and failure, multi-scale modelling, composites and adaptive advanced structures, structural dynamics and instabilities, smart materials, functionally graded materials, optimization and non-linear solution strategies. Dr. Ahmed Makradi works on constitutive modeling of thermomechanical behavior of polymeric and composites based polymeric materials, design of heterogeneous composites with specific physical properties, modelling and simulation of processes such as fiber spinning, thin sheet thermoforming, Additive manufacturing (Selective Laser Sintering). He has been the principal investigator of many national and international research projects. He published more than 80 technical papers in the areas of mechanics and physics. David Fiorelli is an internal specialist in data analysis, image processing and programming. He develops software for the group “Design and Durability”.
Heterogeneous composite material consists of a matrix filled with one or several heterogeneities to enhance its intrinsic properties (mechanical, electrical, thermal, etc.). Composite with desired properties can be achieved simply by controlling the distribution, shape and orientation of the heterogeneities within the matrix. LIST researchers have created a toolbox combining imaging tools and techniques with numerical mechanics methods to virtually create composite materials with tailored physical and mechanical properties. The programming was done in Python and a rudimentary graphical interface was realized with the module Tkinter. The Mahotas and Mayavi libraries are used for image analysis and visualization. The student will develop a user-friendly graphical interface. Visualization of 3D objects will therefore be an important aspect of the work. Project plan:

Task1: Understand the existing structural scheme of the python code towards possible reorganization of the code structure (1 month)
Task2: Develop a user-friendly graphical interface (4 months)
Task3: Final report

Expected outcomes:

Student will get familiar with advanced methods for software graphical interfaces development and visualization tools
User-friendly graphical interface

Master Student Internship in Development of a conceptual and mathematical framework integrating compound specific isotope analysis signals of pesticides and transit time distributions in the subsurface (M/F)

Compound-specific isotope analysis (CSIA) is a technique that measures the isotopic composition of specific isotopes (carbon, oxygen, nitrogen) in organic compounds. CSIA can be a powerful tool to differentiate between degradation and dilution as the former leads to a systematic shift in the isotopic composition (fractionation) while the latter does not, and can even in favourable cases quantify degradation losses.

Up to now, CSIA has been mostly used to study groundwater contamination by petroleum compounds, but the technique could also be applied to micropollutants such as pesticides. CSIA typically relates fractionation to reacted mass, but the dimension of time can be easily introduced. Furthermore, the effect of the distribution of transit times in the aquifer on the (measured) bulk isotopic composition of the samples can be calculated using a lumped-parameter approach.

The trainee will work in the group Agro-environmental Systems on the development of a theoretical framework to describe the evolution of the isotopic composition of pesticide transformation products (TPs) as a function of transit time in the subsurface.
The tasks of the trainee will be to develop a mathematical framework for the use of CSIA for pesticide transformation products in groundwater. Specific tasks will be to :

integrate TPs in the equations describing changes in isotopic composition with increasing formation and further degradation
couple these modified equations with weighing functions describing the transit time distribution of solutes in aquifers
explore, using the obtained equations, the relationship between fractionation factors and transit time parameters

Time allowing, preliminary measurements might be undertaken on a few groundwater samples.

Master Student Internship in Estimating floodplain water levels from space (M/F)

We are seeking a highly motivated individual to join the “Environmental Research and Innovation” (ERIN) department. With a team of more than 170 scientists and engineers from life science, environmental science, and IT science, the department has the necessary interdisciplinary knowledge and skills to tackle major environmental challenges our society is facing today: climate change mitigation, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, environmental pollution prevention and control. The successful candidate will integrate the “Remote sensing and natural resources modelling” group. The collaboration between the teams’s remote sensing scientists and hydraulic modellers is targeting the extraction of hydrology-related information from satellite Earth Observation (EO) data as well as the reduction of numerical modelling-based hydrological predictions.
Enhanced methods for monitoring temporal and spatial variations of water depth in rivers and floodplains are very important in operational water management. Currently, variations of water elevation can be estimated indirectly at the land-water interface using sequences of satellite EO imagery in combination with topographic data. In recent years high-resolution digital elevation models (DEM) and satellite EO data have become more readily available at global scale. The successful applicant will join our internationally leading team working on developing a recently introduced approach for efficiently converting remote sensing-derived flood extent maps into water depth maps using a floodplain’s topography information. These developments should enable large scale and near real-time applications and only require readily available EO data, a DEM and the river network as input data. The ongoing research targets the implementation of a hierarchical split-based approach that subdivides a drainage network into segments of variable length with evidence of uniform flow. Further testing should evaluate the impact of the resolution and accuracy of the EO data and the DEM on the results. For this reason different DEM data sets, including the recently published high resolution high precision TanDEM-X data set, will be considered in the processing chain. Moreover, different satellite EO data sets, such as Sentinel-1, TerraSAR-X and Envisat ASAR will be used and results inter-compared. A comprehensive evaluation of the obtained water depth maps with hydrodynamic model results and in situ measured water level recordings will be carried out on a number of test sites in the United Kingdom and Mozambique.

Student Internship on Financial Innovative Systems - Regulatory & Legal Technologies - Business Analytics (M/F)

You will have the chance to work on concrete and value-creation projects led by different
specialists from our institution who are engaged with world-class companies and
enterprises. The Institute is opening a number of internship / trainee positions in its
Information Technology for Innovative Services (ITIS) Department to be part of a deeply
multidisciplinary experience. The trainees can benefit from the experience to participate in
real-life projects and at the same time use the outcome/results as part of different academic
engagements (Master thesis, Bachelor thesis).
This is a learning opportunity for outstanding students formally engaged in university programmes around the world. The topics are all hands-on and practical, covering all forms of analytics, from building complex models from data to using different tools and engineering methods; focusing on one or more of the following domains and industries: legal informatics, data analytics, applied statistics,
machine learning, big data and high performance computing infrastructures (Opensource software solutions, SAP HANA and IBM Bluemix environments leading to cloud deployments); financial services innovative technologies, regulatory technologies, industry 4.0 and digital transformation in manufacturing, algorithms and software prototypes, coding and more.

The topics are also covering GRC (Governance, Risk, Compliance) for business services and processes. They encompass various techniques and instruments supporting operations in companies, ranging from the design, assessment and improvement of business processes and services, to process-mining and process analytics techniques, automation with decision support system, etc. These techniques and instruments are targeting application domains which are critical for companies such as privacy and procurement, with GRC purposes.

You will not be expected to do all the above areas but you need to be passionate and hard-working, have a serious interest and minimum competence in some industry (finance or manufacturing or information technology or to be an attorney with strong technology interests or ready to address privacy or regulatory compliance in any industry). You need to have a strong career aspiration to work
in some core subjects that emerge in the labour markets around the world, namely, business analytics or legal matters (privacy, regulations for different sectors), or have a strong background in (or learn more) applied statistics or in implementation of software of machine learning or cognitive systems ideas.

The internship program aspires to provide you with a unique opportunity to learn and be of service in concrete activities, working on real-life problems that will help you prepare for your future employment or innovation aspirations (students interested in growing their own start-ups are very welcome too). The spectrum of projects you may be involved comprises customer risk assessment, real time solvency, text analysis/processing for KYC services, fund distribution optimization, timeseries data bases, forecasting techniques for production and design processes, to cite a few.

During the period of your internship, you will be part of several ‘hackatons’ and ‘insightatons’, particularly those of you with the aspirations of working in analytics and applications in financial services and industry 4.0 problems.

Master Student Internship in Integrating the modelling of consumer behaviour towards environmental information into Life Cycle Assessment (M/F)

The successful candidate will join the “Environmental Research and Innovation” (ERIN) department. With a team of more than 170 scientists and engineers from life science, environmental science, and IT science, the department has the necessary interdisciplinary knowledge and skills to tackle major environmental challenges our society is facing today: climate change mitigation, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, environmental pollution prevention and control.

The "Environmental Research and Innovation" (ERIN) department of LIST has an opening for an Intern position. The intern will be integrated in the Life Cycle Sustainability and Risk Assessment (LiSRA) Unit, which develops knowledge, transferable (software) technologies and practical methods for the integrative evaluation and management of the sustainability and toxicological risks of human driven systems.
The Life Cycle Sustainability and Risk Assessment (LiSRA) unit of the Environmental Research and Innovation (ERIN) is developing software tools for Life Cycle Assessment (LCA) for companies and policy makers.

One emerging topic is the impact of consumer behaviour influenced by environmental information presented to them. This information can range from single indicator at the moment of purchase to ecolabels (e.g. ISO 1402X family) and large-scale campaigns. It is argued that the effectiveness of information depends on the consumers’ trust, which in turn depends on their knowledge of the presented information. To this end, a combination is needed of methods that assess the environmental impact of products, e.g. LCA, with those that model human behaviour, e.g. agent-based modelling (ABM), in this case towards environmental information. This coupling can go both ways as, on the one hand, LCA provides supportive environmental information that can influence behaviour and, on the other hand, behaviour will define which products will be selected, influencing the environmental impact of production systems such as that of regions or populations.

The purpose of the internship is to contribute to the conceptual modelling, coding and data collection/processing in the context of two case studies investigating the impact of human behaviour using ABM/LCA coupled simulators. The coding would result in one or several code bricks that can be used to easily integrate such ABM module into LCA. An additional research question to consider, deals about the uncertainty of such modelling efforts, especially related to human perception and how to characterise it.

The internship project will have four distinct tasks:

Collect information on environmental information in the context of the two case studies, among else from literature
Contribute to processing of methodological results, e.g. from LCA, into the formats presented towards the consumers
Collect data needed to build a conceptual model (ABM) of consumers’ behavior towards environmental information
Contribute to coding efforts of conceptual models in both case study contexts

The first case study lies within the CONNECING project (https://www.list.lu/en/research/project/connecting/) investigating mobility policy scenarios, during which environmental information (e.g. ecolabels) affecting car purchase and emergence of electro mobility is planned to be investigated. The second case lies within a study investigating the impact of circular business models for PVC flooring, comprising recycling and a take-back or leasing system.

Master Internship in Market analysis for Life Cycle Assessment & Digitalization (M/F)

Benchmark analysis of life cycle assessment software tools and prototypes already including functionalities to cope with the digitalization trend,
Literature review of the interest and expectation of companies and policy-makers regarding environmental evaluation
Investigation of market challenges, short-term and long-term scenarios for the dissemination of LCA tools
Preliminary market analysis for the integration of new IT technologies in LCA software tools
Linking technological and market data

Master Internship in Impacts of electric vehicles penetration on distribution grids (M/F)

The successful candidate will join the “Environmental Research and Innovation” (ERIN) department. With a team of more than 170 scientists and engineers from life science, environmental science, and IT science, the department has the necessary interdisciplinary knowledge and skills to tackle major environmental challenges our society is facing today: climate change mitigation, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, environmental pollution prevention and control.

The "Environmental Research and Innovation" (ERIN) department of LIST has an opening for an Intern position. The intern will be integrated in the Renewable Energy Systems Group as part of the Life Cycle Sustainability and Risk Assessment (LiSRA) Unit, which develops knowledge, transferable (software) technologies and practical methods for the integrative evaluation and management of the sustainability across different systems (e.g. energy systems) and toxicological risks of human driven systems.
The Renewable Energy Systems Group within the LISRA unit of the Environmental Research and Innovation Department is studying the effects of large scale integration of renewable generation in the electric energy system. The group applies optimisation methods, conducts simulations and develops models and software tools for companies and policy makers. The rising shares of decentralized and fluctuating power generation in the distribution grids, implementation of smart flexibility options (smart grid components) and increasing electrification of the mobility and heating sectors bring new challenges and opportunities for grid operators. The identification and quantification of such challenges and opportunities in relation to a large-scale electric vehicles (EVs) penetration should be studied on the basis of two examples (grid models of two districts currently under development).

The aim of the internship project is to undertake specific tasks including:

Literature review of the impacts of EVs penetration on distribution grids
Developing scenarios for EVs penetration and EVs charging behaviour and derive impacts on load profiles and grid constraints (e.g. low voltages)
Work out expected effects on EV users charging behaviour from “smart charging” business models, based on literature study
Run simulations to assess distribution grid impacts by EV penetration for predefined scenarios (models largely existing)

Master Student Internship in IoT integration in Life Cycle Assessment models (M/F)

The successful candidate will join the “Environmental Research and Innovation” (ERIN) department. With a team of more than 170 scientists and engineers from life science, environmental science, and IT science, the department has the necessary interdisciplinary knowledge and skills to tackle major environmental challenges our society is facing today: climate change mitigation, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, environmental pollution prevention and control.

The "Environmental Research and Innovation" (ERIN) department of LIST has an opening for an Intern position. The intern will be integrated in the Life Cycle Sustainability and Risk Assessment (LiSRA) Unit, which develops knowledge, transferable (software) technologies and practical methods for the integrative evaluation and management of the sustainability and toxicological risks of human driven systems.
The Life Cycle Sustainability and Risk Assessment (LiSRA) unit of the Environmental Research and Innovation (ERIN) is developing software tools for Life Cycle Assessment (LCA) for companies and policy makers. The increasing digitalization of manufacturing and consumption practices, along with the introduction of new technologies (Internet of Things, Blockchain, Industrie 4.0) is likely to disrupt the way such software tools may operate in the future, e.g. regarding the collection of inventory data or the definition of scenarios based on real time feedback from users. One of the promises of Industrie 4.0 for example is that, by using IoT manufacturing modules, live data could be used to improve production chains management. Within this context, taking into account life cycle assessment when managing production chains poses the challenge of fast modelling of the dynamic production chain (quick programmatic creation of life cycle assessment inventories), retrieval (in real time) of information from the production chain to update the life cycle inventories and assessment based on the new data. Future IoT enabled homes pose similar challenges. The aim of the internship project is to collaborate in prospective research and development activities towards the integration of current life cycle assessment tools with IoT issued data. In particular, the following specific tasks will be done by the trainee:

Identification of suitable IoT platforms (concrete or simulated) to implement IoT based life cycle inventory creations for industrie 4.0 like production chains or automated homes, through literature review
Prototyping IoT based tool to create life cycle inventories, through programming
Design of a life cycle inventory update mechanism based on information coming from the production chain

Master Student Internship in Design of hybrid films by means of spray/casting technology (M/F)

The MRT Department’s research and technology activities target two main areas: nanomaterials and nanotechnology and sustainable polymeric and composite materials. The Nanomaterials/Nanotechnology Research, Development and Innovation (RDI) unit addresses specific technology fields like transducing materials for sensors and actuators, photocatalysis, energy harvesters/suppliers, transparent electronics and conductive/optical nanocomposites, point-of-care and drug delivery. These activities relies on state-of-the-art clean-room laboratory facility. Internal research is pushed towards the "proof-of-concept" based on prototyped devices. In parallel, new synthesis processes and nanomaterials integration are developed in order to achieve unique elaboration capabilities and materials properties leveraging the innovation of advanced products.
The major aim of this internship will be to develop and use a totally new spray/casting technique allowing for the deposition of noble metals, oxides nanomaterials and complexes, allowing to design new conducting and transparent low cost electrodes for electronic. We will research on the parameter space for the spraying of nanomaterials, and to tune the composition and spraying design to achieve robust and highly efficient electrode performance. Parameter space that needs fine-tuning include porosity, interconnectivity, mechanical strength, etc.

Master Student Internship in Exploration of new CNTs based anodes for Li-ion electrochemical energy storage (M/F)

The MRT Department’s research and technology activities target two main areas: nanomaterials and nanotechnology and sustainable polymeric and composite materials. The Nanomaterials/Nanotechnology Research, Development and Innovation (RDI) unit addresses specific technology fields like transducing materials for sensors and actuators, photocatalysis, energy harvesters/suppliers, transparent electronics and conductive/optical nanocomposites, point-of-care and drug delivery. These activities relies on state-of-the-art clean-room laboratory facility. Internal research is pushed towards the "proof-of-concept" based on prototyped devices. In parallel, new synthesis processes and nanomaterials integration are developed in order to achieve unique elaboration capabilities and materials properties leveraging the innovation of advanced products.
The aim of the internship will be to synthetize CNTs with tailored functionalization and immobilize them onto commercial metal substrates available in the lab. The immobilized CNTs will be characterized with techniques like scanning electron microscopy, scanning transmission electron microscope and contact-angle measurements. The electrochemical energy storage properties of the anodes based on these CNTs will be analysed in half electrochemical cell with Lithium counter/reference electrodes. As the mounting of the electrochemical cell will be done in a glove box, the selected candidate will work during a non-negligible time into a glove box.

Master Student Internship in Realisation of a characterization bench and optimization rules for an Energy harvester (M/F)

Energy harvesting is the conversion of unused kinetic energy (mechanical, pneumatic, hydraulic, thermic or electromagnetic) in the surrounding environment into small amount of exploitable electrical energy. This technology, as a new power source for small electronic systems, is attracting more attention in the recent years. It is a promising energy source for self-sustained electronic devices with wireless communications.
We currently running a project which we’re looking at the realization of new nanotechnology based generators. The mechanisms by which the energy is collected are based on effects such as piezoelectricity, photoelectricity, thermoelectricity, electromagnetism and triboelectricity. Thus, for the sake of innovative solution that offers an optimal performance, it is vital to characterize properly this new devices. The realisation tasks will make use of instrumentation, data acquisition software, data treatments and mechanical parts design. These assembly will serve to the realization of an innovative prototype. The several outputs of the energy harvester prototype will deserve very specific data treatment with the implementation of test matrices and correlation algorithms to obtain optimization rules.

Master Student Internship in Augmented Reality for Environmental Applications (M/F)

The "Environmental Research and Innovation" (ERIN) department of LIST has an opening for an Intern position. The intern will be integrated in the e-Science unit, which focuses on data analytics & visualization and their applications.
Climate change is foreseen to cause an increasing number of extreme events. In addition, the population is nowadays very sensitive to various types of pollution due to human activities. Managing environmental disasters such as flooding, biological or chemical damage is a complex task which requires a sound level of situational awareness. This internship project will focus on using augmented reality technologies to assist those managing an environmental disaster, with a particular emphasis on information visualisation in a multi-user setting.
The intern will focus on developing new augmented reality interfaces for a chosen scenario which will leverage an existing platform developed at LIST. The project will involve software and hardware engineering challenges, alongside more research oriented topics such as visualisation and situational awareness.
The e-Science unit has a number of Horizon 2020 projects with partners from across Europe working on related topics. Therefore the intern will have the opportunity to work alongside international partners from these projects.

Master Student Internship in Visual Analytics of Multilayer Networks (M/F)

The "Environmental Research and Innovation" (ERIN) department of LIST has an opening for an Intern position. The intern will be integrated in the e-Science unit, which focuses on data analytics & visualization and their applications.
In the framework of the BLIZAAR project (an international collaborative research project funded by ANR and FNR), the e-Science Unit of LIST has developed visual analytics tools for multilayer biological networks. The comprehension of complex biological processes relies on the analysis and visualization of a very large number of interactions between genes, proteins and metabolites which are active inside the cells and living tissues. The broadness and variety of questions raised by biology researchers requires the extraction of subsets of data depending on the question at hand, which can only be achieved by a programmer before any analysis can be run. The internship will focus in particular on the creation and evaluation of interactive visualizations supporting biologists in the specification of relevant interaction networks in a self-service manner. The required work includes the extension of existing middleware to query a graph database (neo4j) containing a large number of biological interactions. The intern will also have to integrate his work with existing multilayer network visualizations, and possibly create his own.

Master Student Internship in Planar mm-wave waveguides based on polar oxide dieletrics (M/F)

At the Luxembourg Institute of Science and Technology (LIST), we have developed a technological platform able to fabricate basic passive planar high-frequency microwave/mm wave devices based on polar oxide dielectric films with well-defined electrode structures. Film and electrode deposition is based on sol gel and inkjet printing techniques as well as photolithography. The dielectrics typically belong to the perovskite family and possess a very high dielectric permittivity. The intern will have access to our state-of-the-art technology platform including a Vector Network Analyzer (VNA)/probe station setup, several deposition means, and an extensive characterization platform. We have on-site Raman spectrometry and X-Ray diffraction, but also dedicated characterization methods allowing for a complete understanding of dielectric properties from dc to optical frequencies.

Application wise, we are interested in transmission lines based on ferroelectric materials. These devices are of strong interest regarding autonomous wireless sensor networks.
The purpose of this internship is the design and testing of mm-wave coplanar waveguide structures based on our technology. The design is based on the Comsol simulation software platform, the main characterization tool is the VNA/probe station setup. Inkjet printing fabrication technology could also be improved during this internship according to the candidate motivation.

Master Student Internship in Vibrating energy harvesters with piezoelectric films (M/F)

At Luxembourg Institute of Science and Technology (LIST), we have developed a technological platform able to fabricate piezoelectric ceramics and films, notably by sol gel and inkjet printing techniques. The materials we develop are oxides from the perovskite family, which stand for the best piezoelectric materials ever. The intern will have access to our state-of-the-art technology platform including several deposition means, a clean room, chemical labs and an extensive characterization platform. We have on-site Raman spectrometry, X-Ray diffraction, Secondary Ions Mass Spectrometry but also dedicated electrical and mechanical characterizations allowing for a complete understanding of the way the developed piezoelectric films behave.

Application wise, we are interested in vibrating energy harvesters based on piezoelectric materials. These devices are of strong interest regarding autonomous wireless sensor networks.

The purpose of this internship will be the electrical and mechanical characterizations of LIST energy harvesters based on our technology. The specific characterization tools are an impedance analyzer, a vibrometer, a piezoelectric set-up and an in-house energy harvesting platform. Inkjet printing fabrication technology could also be developed during this internship according to the candidate motivation for an optimized version of energy harvesters.

Master Student Internship in Nanowires density calculation based on SEM pictures: basic approach and automated processing with image processing software (M/F)

The Department Materials Research and Technology (MRT) translates cutting-edge materials research into applicable technology. Its activities span from Nanomaterials and enabling Nanotechnology to Sustainable Composite Materials. A transversal Central Materials Laboratory mutualises MRT's considerable expertise and equipment ranging from polymer and thin film processing to nano-fabrication, prototyping and functional measurements. MRT's research is further strengthened by a Platform for Advanced Characterization. Finally, the Department operates a Technology line, which focuses on the development of scientific instruments based on charged particle beams for nano-imaging and nano-analysis.
Silver nanowires (Ag NWs) networks are emerging as one of the most promising alternatives to indium tin oxide (ITO) for transparent electrodes in flexible electronic devices. They can be used in a variety of optoelectronic applications such as solar cells, touch panels and organic light emitting diodes. Ag NWs are cheaper to fabricate than ITO and can be fast deposited as networks with spray method. In order to understand the effect of spray parameters on Ag NWs networks conductivity and transparency, the NWs density has to be determined thanks to scanning electron microscopy image analysis

The goal of this internship will be to investigate computer and mathematical methods to determined Ag NWs density with aspect ratio (AR) above 1000 (AR=L/D where L is NWs length and D is NWs diameter), where a challenge occurs when considering interconnected NWs. The trainee will start by analysing existing plugins for the Image J image processing software, as well as modifying existing plugins and programming automated processing routines. He/she will also investigate mathematical approaches based on the NWs geometry in order to simplify the programming challenges.

Master Student in visual analytics for agricultural data analysis (M/F)

he "Environmental Research and Innovation" (ERIN) department of LIST has an opening for an Intern position. The intern will be integrated in the e-Science unit, which focuses on data analytics & visualization and their applications in various environmental domains.
In many real-world applications, exploratory analysis of multiple sets of categorical entities with close relationships is a critical task. For the further digitalization of -for instance- agriculture, databases referencing thousands of products containing often the same combinations of active ingredients used for multiple purposes need to be visualized for enabling informed decision making by the users of technologies related to the database entries. Discovering and understanding such close relationships offers new possibilities to agricultural stakeholders.
Relationships between two types of entities (e.g. pesticides active ingredients) can be modelled in a matrix from which biclustering algorithms extract co-occurrence patterns shared by multiple entities (biclusters). For instance, from a product <=> ingredient matrix, a bicluster groups a subset of ingredients that co-occur in a subset of products. However, visualization of overlapping biclusters remains a challenging issue, specifically for identifying the common and specific parts of a large amount of biclusters. To this end, the eScience unit of LIST has proposed an approach applied on a term<=> document matrix in a visual analytics tool for text corpora analysis. This approach needs to be improved and adapted to relevant agricultural cases for unlocking the full potential of digitalization in precision agriculture with regard to sustainability gains.
During this internship, the candidate will start by making a brief literature review of bicluster visualizations. Next, she/he will work closely with researchers of LIST to adapt existing approaches and/or propose a new one for the visualization of biclusters. The interactive visualizations will be implemented with D3.js as a web-based application supporting the tasks of agronomists. Finally, a user study will be conducted to compare efficiency of these different approaches with regard to the most relevant tasks.

Master Student Spatial Data Infrastructure (M/F)

The "Environmental Research and Innovation" (ERIN) department of LIST has an opening for an Intern position. The intern will be integrated in the e-Science unit, which focuses on data analytics & visualization and their applications.
More and more Earth observation data from satellites and other sources is available – at better resolutions and higher frequencies than ever before. The sensors on board of the EU/ESA Copernicus satellites, e.g., produce high-quality radar and optical images that are free for commercial and scientific use.
On the one hand, the exploitation of this data offers numerous new scientific and economic possibilities. On the other hand, the enormous volume of the data, and the availability and speed requirements for their processing, necessitates the development of new algorithms as well as the design and implementation of new IT infrastructure solutions. The evolution of remote sensing is thus comparable to what has happened before with GNSS (global navigation satellite systems such as GPS) applications and the telecommunication market that can rely on professional and reliable infrastructure. This infrastructure includes sophisticated software elements.
An example of a commercial infrastructure provider for the processing of spatial information is SAP, with current and upcoming cloud- and non-cloud solutions for the processing and exploitation of satellite data.
During this internship, the candidate will evaluate these commercial solutions at the software layers (hardware and network issues not considered). In particular, he or she will examine how the new and innovative image analysis algorithms developed by ERIN’s remote sensing experts can be integrated in such a commercial infrastructure. The student will have access to the tools and software packages that have to be analysed.