Duties: Scale-up of bioprocesses rely heavily on selecting appropriate “fermenterphiles”, i.e. robust production organisms that can show minor or no changes in the key process parameters at different cultivation scales or in appropriate scale-down bioreactor conditions. This Post-Doc project aims to design suitable scale-down simulators from coupled CFD-metabolic dynamic simulations, to ensure a precise representation of the organism lifelines and extracellular conditions expected in an industrial scale stirred tank bioreactor
Requirements: Candidates should have a PhD degree (in Biochemical Engineering/Industrial biotechnology) or equivalent; We are looking for a candidate with a solid background/expertise in: Computational fluid dynamics; Microbial metabolic network and metabolism; Kinetic modelling, Stoichiometric modelling and Bioreactor modelling; Bioreactor and Bioprocess design application in bioprocess development; Scale-up and scale-down strategies of high-cell-density microbial fermentations; Design and execution of fed-batch and continuous cultivation in lab to pilot scale bioreactors

Duties: Support the group’s R&D activities in artificial intelligence, robotics and human-robot collaboration; Support day-to-day project-related activities, onsite (depending on COVID-19 restrictions) and online meetings, as well as the preparation of reports and presentations; (Co-)author scientific, peer-reviewed papers, submitted to top conferences and journals in the field of robotics, human-machine interaction, and artificial intelligence; Provide support and/or manage funding acquisition activities and proposal writing (national and international, e.g. Horizon Europe)
Requirements: A PhD degree (already completed or to be completed shortly) in artificial intelligence, machine learning or a closely related field; Team spirit; Solid interest in latest advances in AI especially in the field of Deep Learning, with proven experience (e.g. through publications, projects, etc.) and willingness to publish in top venues in the field, in collaboration with the rest of the team; Excellent programming skills, ideally in Python and C++; Excellent English language skills

Workload: 100%
Duties: Unterhalt von diversen Netzwerk- und Sicherheitssystemen; Planung und Implementierung der Netzwerk- und Security-Architektur; Zuständigkeit für Netzwerkservices wie DNS, DHCP und NAC; Planung und Durchführung von Changes (Switching, Routing, Firewall, Loadbalancing); Anbindung von Mobile Apps und Umsetzung von Digitalisierungsprojekten; Analysieren und Troubleshooting im Switching, Routing, WLAN und Security Umfeld; Zuständigkeit für die Vernetzung von Aussen- und Partnerstandorten; Unterstützung im 2nd und 3rd Level Support und Mitarbeit in der Pikettorganisation; Monitoring der Netzwerk Infrastruktur; Betreuung einer PKI Lösung
Requirements: Bachelor Fachhochschule oder Universität in Informatik; Fach- und funktionsspezifische Weiterbildung mit Zertifikat oder Diplom (z.B. CAS/DAS); Permanente Wissensaktualisierung oder als äquivalent anzusehende berufliche Erfahrung; Fundiertes Wissen betreffend Netzwerktopologie, Design und Betrieb von; Netzwerktechnologien auf allen OSI-Ebenen, Firewall, Load Balancing, DNS, DHCP, PKI etc; Ausgeprägtes konzeptionelles und analytisches Denken; Teamorientiert, kommunikationsstark und unternehmerisch denkend; Bereitschaft für Einsätze in Randzeiten; Gute Kenntnisse von agilen Arbeitsmethoden; Sehr gute Deutsch- und Englischkenntnisse

Workload: 100%
Duties: Design and implement economic modelling analyses to inform resource allocation across malaria control for preventive and curative interventions at national and sub-national levels in multiple high-burden countries. Specifically, the modelling outputs will support: Methodological development of costing and economic decision models; Strategic and operational questions on implementation of malaria control interventions at subnational level by National Malaria Control Programs; Technical guidance on optimal malaria control strategies by the WHO's High Burden High Impact initiative; Strategic investment decisions by major donors, including the Global Fund to Fight AIDS, Tuberculosis and Malaria, the President's Malaria Initiative as well as the Bill and Melinda Gates Foundation
Requirements: PhD (preferred) in decision sciences, health economics, health services research, operations research, biostatistics, epidemiology or related quantitative discipline; 3+ years of experience related to the above responsibilities. PhD students just finishing their studies are also welcome to apply; Technical experience in health economic modeling; Strong problem-solving skills and ability to improvise with a variety of quantitative approaches to solve complex problems despite unreliable data; Experience with statistical programming packages (i.e. Stata/MATA, R)

Duration: temporary       
Workload: 100%
Duties: Public competition for the recruitment of 1 fixed term researcher position, duration 3 years, with possibility of 2-year extension, full-time appointment; ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
Requirements: Experienced researcher or 4-10 yrs (Post-Doc)

Department: Engineering; Civil Engineering
Duties: The research program aims to develop an innovative technique for surveying the displacement field of debris and granular flows through a network of high-speed cameras. The photos are then equalized, filtered and processed. The research aims to develop an algorithm for the analysis of these image sequences aimed at determining displacements and deformations of the flow over time for the purposes of study, monitoring or warning. Missions abroad may be envisaged for coordination with foreign researchers. The system will initially be tested in the laboratory and then exported to the site. A comparison of the results and optimization of the monitoring technique will follow; ICAR/07 - GEOTECNICA
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Department: Advisory
Workload: 100%
Duties: As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution
Requirements: Area of Specialism: Cybersecurity & Privacy

Duties: Sie wirken am Aufbau des Moduls Platform Security auf Bachelorstufe mit; Sie halten 50% der Vorlesungen in diesem Modul und leiten die entsprechenden Übungsgruppen eigenverantwortlich; Bei Interesse können Sie auch Projekt- und Bachelorarbeiten betreuen
Requirements: Sie haben einen Hochschulabschluss in Informatik oder äquivalenter Fachrichtung; Exzellente Lehre liegt Ihnen am Herzen und Sie haben eine hervorragende didaktische Begabung; Sie verfügen über eine akademische Spezialisierung im Gebiet Cyber Security; Sie haben mehrjährige anwendungsbezogene Erfahrung im Einsatz und Design von Sicherheitskonzepten auf den wichtigsten Server-, Cluster- und Cloud-Plattformen in Industrie und Wirtschaft; Sie verfügen über Spezialkenntnisse zu den Themen Hardware Security Module, Trusted Platform Modules und Smartcards; Sie bringen sehr gute Programmier-Fähigkeiten und -Kenntnisse mit, z.B. in Python und/oder anderen relevanten modernen Technologien

Duties: Working in an inspiring, challenging and diverse environment with client in different industries and with colleagues from various backgrounds; Exposure to a variety of technology, multiple industries/sectors and a multitude of project situations; Gaining experience in a broad spectrum of activities, ranging from strategy definition to the technical implementation of automation solutions
Requirements: 4-5 years of working experience either in a technology-centric consulting capacity or in a software company with contact to customers and/or driving implementation projects for automation software; Experience in the design and implementation of RPA (Robotic Process Automation) software (e.g. Blue Prism, UiPath, Automation Anywhere, Microsoft Power Automate) or similar rule-based automation technology; Experience in the design and implementation of intelligent automation technology (e.g. chatbots, virtual agents, NLP/NLG applications, simple Machine Learning, such as feature extraction, classification etc.)

Duties: Working in an inspiring, challenging and diverse environment with client in different industries and with colleagues from various backgrounds; Exposure to a variety of technology, multiple industries/sectors and a multitude of project situations; Gaining experience in a broad spectrum of activities, ranging from strategy definition to the technical implementation of data analytics solutions
Requirements: 4-5 years of working experience either in a technology-centric consulting capacity or in a software company with contact to customers and/or driving implementation projects for automation software; Experience in the design and implementation of Business Intelligence and/or Data Analytics Platforms (e.g. master data management solutions, database setup, data lakes, analytics layers, setup of data catalogues); Experience in the strategic aspect of data analytics (e.g. definition of analytics strategies & operating models, support in technology vendor selection processes, compliance & security considerations etc.)

Workload: 80-100%
Duties: Aktives Mitgestalten von komplexen und modernen Softwarelösungen; Erarbeitung von architekturkonformen Lösungsvarianten sowie Entwicklung von Prototypen; Coaching von Team-Mitgliedern im Bereich der technischen Exzellenz; Aktive Mitarbeit in teamübergreifenden technischen Interessengruppen (Gilden); Abwechslungsreiche Aufgaben in einem aufgestellten und dynamischen Team; Freiheit, um persönliche, innovative Ideen auszuprobieren (Innovation Days); Modernes Engineering (CleanCode, TDD, BDD, DDD, UCD, agile Architekturen); Einsatz mit Technologien wie Java, JEE, Maven, Event- und Workflow-Basiert, Business Rules, Angular und CLI-Stack (Karma, Jasmine, Protractor)
Requirements: Fundierte Informatik-Ausbildung oder Studium mit Fachrichtung Software-Entwicklung; Mehrjährige Projekterfahrung mit Full-Stack Software-Entwicklung (Java Backend bis Angular Frontend); Kreativität, Sinn für Qualität und lösungsorientierte Arbeitsweise; Freude und Spass an der aktiven Zusammenarbeit und Software-Entwicklung im Scrum-Team; Sehr gute analytische Fähigkeiten sowie methodisches und konzeptionelles Denken; Bereitschaft zur stetigen Erweiterung der fachlichen und persönlichen Fähigkeiten

Workload: 100%
Duties: Aufbereiten und Transformieren von Daten zur Durchführung von faktenbasierten Analysen; Eigenverantwortliches Konzipieren und Durchführen von statistischen Modellierungen für deskriptive Analysen und Prognosen; Identifizieren von Optimierungspotentialen und wirkungsvollen Verbesserungsmassnahmen bei prozessualen Problemstellungen; Erstellen von Visualisierungen für explorative Analysen in Zusammenarbeit mit verschiedenen Fachbereichen; Aktives Mitgestalten und Verankern von datengetriebenen Methodiken innerhalb des Unternehmens; Adressatengerechtes Aufbereiten und Kommunizieren von Erkenntnissen, Ergebnissen und Handlungsempfehlungen
Requirements: Fit im Umgang mit Daten und Freude an der Realisierung datengesteuerter Projekte; Universitärer- oder Fachhochschul-Abschluss in Informatik, Statistik, Data Science oder einer naturwissenschaftlichen Disziplin; Sehr gute SQL-Anwenderkenntnisse und Beherrschen von Techniken zur Datentransformation; Fundierte Kenntnisse einer oder mehrerer relevanten Programmiersprachen (bspw. Python, R, SAS); Erfahrung in der Entwicklung, Anwendung und Kommunikation von Machine Learning-Modellen, basierend auf fundiertem statistischen Methodikwissen; Gute Kenntnisse von Tools zur Datenvisualisierung (QlikView, Tableau, Power BI); Kommunikative und lösungsorientierte Persönlichkeit mit ausgeprägter Dienstleistungsorientierung und analytischer Auffassungsgabe; Sehr gute Deutschkenntnisse in Wort und Schrift

Duties: The Richard M. Fairbanks School of Public Health is inviting applications for a Postdoctoral Research Fellowship in genetic epidemiology, statistical genetics or related fields with an interest in diabetes. The research focuses on translational genomic epidemiology of diabetes, including type 2 diabetes and gestational diabetes. The successful candidate will have the opportunity to work with a large portfolio of genomic data (genome-wide sequencing and genotyping, methylation, metabolomics, RNA-seq, and proteomic data) and translational data (clinical utility of genetic risk disclosure) to develop their own research projects, and to participate in large-scale international and local collaborations. Ongoing projects include whole genome-/exome- sequence association analysis, genome-wide association studies (GWAS), integrative genomic analyses, and translational/clinical utility research studies
Requirements: The ideal candidate has a PhD or equivalent doctorate, a strong background in genetic epidemiology, epidemiology, statistical genetics, bioinformatics, computational biology or a related discipline and has demonstrated scientific productivity. Applicants should have a strong computational background, expertise with statistical genetic/bioinformatic software packages applied to large genomic data sets. Ability to work within a UNIX or LINIX OS and standard statistical software (R and SAS) is required. The applicant must be familiar with approaches to integrate genomic information from a wide-range of data resources. Research experience in analysis of large-scale genomic data and/or the genetics of diabetes or cardiovascular disease is a strong advantage. Skills in translational research are preferable but not required

Duties: The goal of the project is to develop new content adaptation and generation techniques for future displays, such that the displayed images closely match the capabilities of novel display devices as well as the requirements of human perception. The approach should assure that the computational resources are not wasted for generating content which is irrelevant to observers, and guarantee the highest perceived quality possible. We would like to focus on the newly emerging display technologies such as virtual reality and augmented reality displays which allow for addressing all visual cues available in the real world
Requirements: Ph.D. degree in computer science or a reasearch field closely related to the project; an excellent academic track record with top tier publications; strong desire for research and publishing at top venues

Duties: The goal of the project is to develop new content adaptation and generation techniques for future displays, such that the displayed images closely match the capabilities of novel display devices as well as the requirements of human perception. The approach should assure that the computational resources are not wasted for generating content which is irrelevant to observers, and guarantee the highest perceived quality possible. We would like to focus on the newly emerging display technologies such as virtual reality and augmented reality displays which allow for addressing all visual cues available in the real world
Requirements: Master degree in computer science or a closely related field; good programming and math skills; knowledge of computer graphics/vision tools, such as OpenGL, OpenCV, Matlab; fluent English, both written and spoken

Duties: Project administration and coordination. Support the Principal Investigator to manage and coordinate the project. Correspondence, administration, project management; Data management. Contribute to database implementation and management related to the project according to FAIR principles; Data analysis. Work with other researchers to investigate mutations in sequencing SARS-CoV-2 genomes
Requirements: Master, and/or PhD degree in computer science, bioinformatics, biology, medicine or another related field; Strong data management skills (Forms and database implementations); Strong programming skills (any language) and experience working with large volumes of data; Excellent organizational and administrative skills, and interest in a scope of tasks involving bioinformatics analyses (50%) and administrative tasks to coordinate the project (50%); A high degree of accuracy, reliability, organization skills, and a commitment to high-quality service provision

Duties: This is a fully funded position for 2 years within a large, national research project (INSTRUCT - IN tegrated S atellite- T e R restrial Systems for U biquitous Beyond 5G C ommunica T ions). The project is run in close cooperation with SES. Therefore, the objectives of the project are aligned with the research interest of SES towards their next-generation of satellite systems. The advent of communication technologies, e.g., 5G and software-defined network, underpins the era of internet of things (IoT), providing several opportunities to build intelligent systems. In the context of developing reliable and resilient IoT systems, the candidate work will focus on developing (1) a dynamic adaptive framework, (2) a system-level simulation tool and (3) an AI/ML-assisted testing framework. The research project will cover several topics including model-based system engineering, software verification and validation, search-based software engineering and machine learning
Requirements: Qualification: The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: Model-driven engineering; Software verification and validation; Search-based software engineering; Machine learning; Software-defined network; Internet of things; Language Skills: Fluent written and verbal communication skills in English are required

Duties: This is a fully funded Postdoc position for 2 years within a large, national research project (INSTRUCT - INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions). The project is run in close cooperation with SES. Therefore, the objectives of the project are aligned with the business interests of SES towards their next-generation satellite communication systems. More precisely, the project aims to research, develop and validate Software Defined Networking (SDN) and Network Function Virtualization (NFV) technologies towards the softwarization and virtualization/cloudification of satellite ground segments in various use cases and scenarios, including enhanced mobile broadband (eMBB), massive machine-type communications (mMTC) and ultra-reliable low-latency communications (URLLC)
Requirements: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/Engineering with focus on Telecommunication Networks (ideally on 5G related topic); Sound publication track-record in the areas related to software defined and virtualized/cloud networks; Strong background in Computer Networking technologies (ideally in SDN/NFV); Knowledge of one or multiple areas listed below is highly desirable: SDN, NFV and Network Slicing; Integrated satellite-terrestrial networks and architectures; Network Management and Orchestration (MANO); Multi-access Edge Computing (MEC); 3GPP standards and 4G/5G technologies; Experience with relevant open-source platforms and tools (e.g., OpenDayLight, ONOS, Ryu, OpenStack, OSM, ONAP, OpenBaton, Open5GCore, OAI, OpenSAND, etc); Strong computer programming skills. Python or C++ is a plus; Experience of working with industrial projects or public funded research projects related to 5G, SDN and NFV is highly desirable; Highly committed, ...

Duties: This is a fully funded position for 3 years (extendable to an additional 4thyear) within a large, national research project (INSTRUCT - INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions). The project is run in close cooperation with SES (https://www.ses.com/). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of SES towards their next-generation of satellite systems. More precisely, the PhD project will address research issues related to system level design of hybrid constellation anchoring, but not limited to, the lower layers of the protocol stack. A system-level simulator will be developed to get insights into optimizing the system, and also flexible techniques will be employed to guarantee the uninterrupted delivery of the network streams while maintaining acceptable packet latency and jitter guarantees
Requirements: Qualification: The candidate should possess a Master degree in Electrical/Electronic or Telecommunications Engineering or Computer Science. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: Wireless communication system design; Wireless communication protocol stack implementation, focus on PHY, MAC and NET layers; Large scale Optimization techniques and Machine Learning; Knowledge of satellite communications is highly desirable but not mandatory; Knowledge of SDN is considered an advantage; Programming skills in MATLAB are required. Python and AGI/STK is desirable; Language Skills: Fluent written and verbal communication skills in English are required

Duties: This is a fully funded position for 3 years (extendable to an additional 4 th year) within a large, national research project (INSTRUCT - IN tegrated S atellite- T e R restrial Systems for U biquitous Beyond 5G C ommunica T ions). The project is run in close cooperation with our industrial partner SES ( https://www.ses.com/). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of SES towards their next-generation of satellite systems. More precisely, the PhD project aims at investigating mutually beneficial advanced dynamic spectrum management techniques and algorithms such as Licensed Shared Access, which can lead towards a centralized spectrum management for integrated satellite-terrestrial 5G systems in both the C and Ka frequency bands. The successful candidate will work with an academic supervisor from the University of Luxembourg and with an industrial supervisor from SES, and join a strong ...
Requirements: Qualification: The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, satellite communications or a closely related field in Electronic, Electrical and Computer Engineering. Experience: The candidate should have some knowledge and experience in some of the following topics: 5G wireless communications; Cognitive radio communications; Licensed shared access and Licensed assisted access; Software defined radio; Cognitive Satellite systems; Interference mitigation and resource allocation; and be familiar with the principles of; Linear Algebra; Optimization theory; Statistical Signal Processing; Machine learning/deep learning; Language Skills: Fluent written and verbal communication skills in English are required

Duties: This is a fully funded position for 3 years (extendable to an additional 4 th year) within a large, national research project (INSTRUCT - IN tegrated S atellite- T e R restrial Systems for U biquitous Beyond 5G C ommunica T ions). The project is run in close cooperation with our industrial partner SES. Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of SES towards their next-generation of satellite systems. More precisely, the PhD project aims at investigating hybrid satellite-terrestrial techniques/architectures to provide resource-efficient and reliable connectivity to the massive number of resource-constrained and heterogeneous Internet of Things (IoT)/Machine Type Communications MTC) devices. The successful candidate will work with an academic supervisor from the University of Luxembourg and with an industrial supervisor from SES, and join a strong and motivated research team lead by Prof....
Requirements: Qualification: The candidate should possess an M.Sc./M.Eng. Degree in Telecommunication Engineering, signal processing, satellite communications or a closely related field in Electronic, Electrical and Computer Engineering. The candidate should have some knowledge and experience in some of the following topics: Wireless Internet of Things (IoT); Satellite communications; 5G Machine Type Communications (MTC); 5G Ultra-reliable and low-latency communications (URLLC); Interference mitigation and resource allocation; and be familiar with the principles of; Linear Algebra; Optimization theory; Statistical Signal Processing; Machine learning/deep learning; Programming skills: MATLAB, Python or C++. Language Skills: Fluent written and verbal communication skills in English are required

Duties: We seek candidates committed to excellence in teaching and undergraduate research mentorship, with a demonstrated ability to collaborate constructively with faculty with diverse scientific interests, and experience implementing and assessing undergraduate curricular outcomes. The successful candidate will teach a newly developed course, “Interdisciplinary Principles of Scientific Inquiry”, and will develop and lead new research stream(s) in the candidate’s areas of interest. In addition, the candidate will work with other faculty members to develop, manage and oversee additional research streams, train teaching assistants, and manage student placement into individual PI labs at the conclusion of their SRI experience. And, the candidate will create and foster a culturally diverse and inclusive educational environment. Finally, the successful candidate will help identify and evaluate overall program outcomes
Requirements: An ideal candidate will be a broadly trained scientist with a Ph.D. in chemistry, physics, astronomy, biology or mathematics (or a closely related field); have undergraduate teaching experience demonstrating a strong commitment to undergraduate mentorship and development; be an excellent team player and communicator; and have experience conceiving and executing complex projects. This position consists of an eleven-month, career-line faculty appointment at the rank of Assistant Professor (Lecturer) in an appropriate department within the College of Science

Duration: 9 m       
Workload: part-time
Duties: Network and build relationships with scientists on campus; Read and research scientific papers and articles in scientific journals, as well as scientific context and background and proofread various English texts; Conduct interviews with our scientists to gather information about results, projects, awards, etc; Translate research results into clear, concise, accurate texts that are accessible to a general audience; Write general Institute texts for various audiences (from children to politicians) and with different purposes (including advertising and reporting)
Requirements: University degree (Master or PhD) in computer science, mathematics, or physics; Proven experience in science writing, ideally with focus on mathematics or computer science; Strong interest in science and a good understanding of scientific trends; Excellent English and very good German skills (in verbal and written); Ability to understand complex scientific information, theories and practices; Methodical and detail-oriented approach to work; Ability to work efficiently, especially under pressure, and as part of a team

Duties: Sie beraten unsere internen KundInnen im Zusammenhang mit den von uns eingesetzten BI-Tools wie z.B. Qlik, Power BI oder Tableau; Sie helfen den KundInnen Lösungen mit diesen Tools zu bauen; Sie sind 1st Level Support für BI Analysten und BI Experts in den unterschiedlichen Abteilungen; Sie bringen eigene Ideen und Konzepte zur Weiterentwicklung von Reporting- und Dashboard-Lösungen ein; Sie unterstützen unsere Online-Communities und Expert Groups administrativ und in der Betreuung mittels MS Teams, bereiten Online-Meetings vor oder moderieren diese
Requirements: Sie verfügen über eine erfolgreich abgeschlossene Ausbildung mit Matura, absolvieren gerade ein Studium oder haben dieses kürzlich beendet (z. B. Wing, Informatik, o.ä.); Sie bringen idealerweise erste Erfahrung im Bereich Business Intelligence, auch im Umgang mit BI-Tools mit; Wenn Sie praktische Erfahrung mit statistischen Analysen haben, ist dies von Vorteil; Persönlich überzeugen Sie durch Ihre aufgeschlossene Art und die Freude, aktiv (auch online) auf Menschen zuzugehen; Sie vereinen gutes technisches Verständnis mit einem Gespür für Usability; Sie besitzen ein Grundverständnis für Daten und können Daten, wenn nötig umformatieren

Duration: 3 y       
Workload: 100%
Duties: This is a fully funded position for 3 years (extendable to an additional 4 th year) connected to a partnership with Proximus, a Luxembourgish company in cloud computing (under brand name Telindus) and telecom operator (under brand name Tango). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of Proximus towards their product development. Cloud computing has enabled elastic provisioning of computer resources and revolutionised the industry leading to basically zero cost investment needed for infrastructure of new IT-companies. Most resources provisioned this way comes from data centres with a vast array of quite similar compute offerings. With modern distributed client-facing applications, however, there is a need to move the resources closer to the clients, to the Edge. While this is possible today, it is a manual time-consuming and error prone process. The project for this position deals with ...
Requirements: The candidate should possess a Master degree or equivalent in Computer Science, Electrical/Computer engineering, or equivalent; Knowledge and skills in one or more of the following topics: Distributed computer system; Cloud computing; Parallel programming; Computer architecture; Strong analytical and programming skills; Curiosity driven, willing to constantly learn new things; Fluent written and verbal communication skills in English are required