Duties: Sie konzipieren und akquirieren neue Forschungsprojekte im Themenfeld der draht-basierten additiven Fertigung und verwandter/korrespondierender Technologiethemen für unterschiedliche Industriefelder; Sie leiten nationale und internationale Kooperationsprojekte (technisch, kaufmännisch) und arbeiten mit Projektpartnern aus der Klein-, Mittel- und Grossindustrie; Sie betreiben die eigenständige wissenschaftliche Planung, Durchführung und Auswertung von Versuchen, die wissenschaftliche Aufbereitung von Ergebnissen und Zusammenfassung zur Dokumentation und Präsentation; Sie unterstützen mit Ihrer Expertise und Ihrem Know-how bei der Beantragung weiterer Projekte; Sie publizieren im Team oder als Erstautor*in Ihre Forschungsergebnisse in wissenschaftlichen Zeitschriften und nehmen an Konferenzen teil; Sie betreuen Interns, Master- und Phd-Studierende
Requirements: Abgeschlossenes Studium im Bereich Maschinenbau, Verbindungstechnik, Schweisstechnik, Werkstoffwissenschaften oder einem ähnlichen Fachgebiet; Erfahrung in Leitung (technisch, kaufmännisch), Akquisition und Einreichung von Forschungs- und Entwicklungsprojekten; Expertise in der Entwicklung von Prüfplänen für Prozess- und Werkstoffuntersuchungen unter Anwendung von DoE o.ä; Erfahrung in der Schweisstechnik (IWE, IWT) von Leichtmetalllegierungen z.B. Aluminium; Erfahrung in Roboterbedienung und -programmierung von Vorteil (ABB, KUKA, o.ä) sowie in der Bedienung von CAD- oder CAM-Systemen zur Generierung von Pfadplanung für WAM; Programmierkenntnisse (C, Python, SPS, o.ä.) von Vorteil; Selbstständige und strukturierte Arbeitsweise, Kommunikations- und Teamfähigkeit; Freude am Forschen und Begeisterungsfähigkeit für unkonventionelle Lösungen, Kreativität und Visionskraft; Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift

Duties: Sie koordinieren die Projekte zur Errichtung bzw. Adaptierung der Forschungsinfrastruktur an allen AIT Standorten (Wien, Niederösterreich, Oberösterreich, Kärnten, Tirol). Dabei sind Sie Ansprechpartner*in für das Projektteam der internen Bedarfsträger*innen; Sie sind massgeblich an der Erhebung und Abstimmung der Umsatzbarkeit der Spezifikationen der technischen Ausstattung und Infrastruktur beteiligt. Sie beraten hier die Forschenden hinsichtlich Kosten und zeitlichem Projektablauf; Sie leiten die Gesamterrichtungsprojekt von Planung der Gebäude und technischen Ausstattung bis zur Endabnahme und sind dabei Schnittstelle nach intern sowie extern gegenüber den ausführenden Dienstleistern über sämtliche Gewerke hinweg. Dies beinhaltet auch die erforderlichen behördlichen Genehmigungen und Dokumentationen; Sie entwickeln das diesbezügliche Projekt- und Schnittstellenmanagement weiter und passen gegebenenfalls die dafür notwendigen Prozesse an; Sie leiten den Bereich Central ...
Requirements: Abgeschlossenes Studium (FH, Universität) in einer relevanten Studienrichtung; Hauptvoraussetzung: Mehrjährige Projektmanagementerfahrung in der Planung und Errichtungsbegleitung technisch anspruchsvoller Infrastrukturvorhaben und den dazugehörenden Gebäuden und Gewerken; Sehr gute Kenntnisse in Projektmanagement, idealerweise ergänzt durch Zertifizierung(en); Hohe Affinität zum Management von internen/externen Schnittstellen und von komplexen Prozessen; Mehrjährige Erfahrung in der Führung von (Projekt-)Teams; Hohe Eigenmotivation, Kommunikationsgeschick in verschiedenen Settings und Erfahrung im Moderieren von unterschiedlichen Interessen und Ansprüchen; Sehr gute Deutsch- und Englischkenntnisse in Wort & Schrift

Duties: Welcome to the Spanish Trainee Programme FTEC (Formacion en Tecnologias Estrategicas del CERN)! Selected trainees will join a team working at CERN and have the opportunity to broaden their knowledge through participation in the hi-tech activities of the laboratory in fields such as computer science, electrical, electronic and mechanical engineering, cryogenics, ultra-high vacuum, radiation protection, instrumentation for accelerators and particle physics experiments, development of conventional, super-conducting magnets, surveying, large scale metrology and positioning systems
Requirements: You have your main residence in Spain at the time of selection; You hold or are about to complete an "Ingeniero Superior" or "Master’s" degree in one of the following fields: Mechanical, Electrical, Electronics or Computing Engineering, Applied Physics or similar. You are expected to have obtained your qualification by the time you take up your appointment at CERN; You can start your traineeship in June/July 2021 - in exceptional cases, a slightly later start date might be possible which would be subject to approval by all concerned parties; You have obtained your latest degree not earlier than 4 years before your application; Exceptions to the application of these criteria above can be envisaged if you hold a PhD degree or are in the process of obtaining it; You have not previously worked at CERN for more than 14 months; You have a good working knowledge of English or French (depending on the position you apply to)

Department: Physics and Astronomy
Workload: 100%
Duties: The ExoMol group at UCL’s Department of Physics and Astronomy is looking to recruit a team of enthusiastic scientists to work on the ERC funded ExoMolHD project. The project will use quantum mechanical methods to provide high quality molecular data for the study and characterisation of the atmospheres of exoplanets and other hot methods. We are looking for a researcher to work on development and application methods of molecular quantum mechanics for producing temperature-dependent pressure shifts and pressure broadening parameters
Requirements: The successful applicant will have a PhD in Physics, Chemistry or Astronomy or closely related subject. They should have a strong background in molecular quantum mechanics; some knowledge of molecular spectroscopy and good programming skills are desirable. Candidates should also have excellent written and verbal communication

Department: Physics and Astronomy
Workload: 100%
Duties: The aim of the project is to develop novel analytical and numerical approaches suitable for correlated multielectron systems in intense laser fields, by extending the UCL developed Coulomb Quantum Orbit Strong-Field Approximation (CQSFA) to multielectron systems, and to apply the developed approach to strong-field phenomena such as double and multiple ionization and photoelectron holography in sculpted fields. Further duties include to contribute to the induction and direction of other research staff and students as requested, to undertake a limited amount of teaching in relation to subject area and to the drafting of papers and research proposals
Requirements: The successful applicant will have a PhD in Physics and expertise in theoretical atomic, molecular and optical physics (preferably strong-field laser-matter interaction), quantum chemistry or mathematical physics. They should have experience with programming languages and time-dependent methods, and a publication record appropriate to stage of career; Candidates should also have excellent written and verbal communication; Experience on analytical strong-field approaches, path integral methods, initial value representations and/or asymptotic expansions; previous postdoctoral and High-performance Computing (HPC) experience is desirable

Department: Biozentrum - Center for Molecular Life Sciences
Workload: 100%
Duties: You will work on independent research projects aiming at the development of new segmentation techniques, applying concepts from deep learning and general artificial intelligence to the automated analysis of large sets of cryo electron tomography data; You will devise, implement and test new methods for extracting high resolution structures from cryoET data sets, integrating new approaches for classification and numerical compensation of imaging aberrations; You will contribute to the maintenance and visibility of the Dynamo package, presenting it in international conferences and user training workshops
Requirements: We welcome applications from numerical scientists or structural biologists with solid skills in Matlab, C++, CUDA and/or Python. Experience in Computer Vision and Deep Learning is highly desirable. A background in Image Processing for CryoEM is a plus. The position will involve constant interaction with end-users of our package; a flair for creating well documented tools ready for the use by a large community of users is thus of the essence

Duties: The project refers to the development of a semi-analytical propagator for the orbits around the Moon to be employed by the Centre National d´Etudes Spatiales (CNES), France, in research and applications for lunar satellite orbits. Benchmarking of the precision and efficiency of the propagator will be done in direct collaboration with CNES; MAT/07 - FISICA MATEMATICA
Requirements: Experienced researcher or 4-10 yrs (Post-Doc)

Duration: 3 y
Duties: Develop expander and compressor designs using mean-line and 3-dimensional aerodynamic design approaches; Analyse the use of variable geometry aiming at improving the off-design performance of the turbomachinery; Conduct rotor dynamic analyses and select a suitable bearing arrangement; Select material for the components, and evaluate the prospects of using additive manufacturing techniques for some of the components of the turbomachinery assembly; Conduct a thermal stress analysis of the turbomachinery; Analyse means for coping with particles/dust entering the turbomachinery; Accomplish multi-objective optimization considering the performance, mechanical design aspects, and production and material costs of the turbomachinery
Requirements: Candidates should have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree

Duties: Your overall focus will be to strengthen the team working with the interaction between floor and footwear at the section of manufacturing engineering. Your research will include: Identify state of the art methods for avoiding ankle sprains in sports; Develop test equipment capable of establishing the cause of ankle sprains; Characterisation of mechanical and biomechanical risks related to ankle sprains
Requirements: You have a background in mechanical or biomechanical engineering. It is expected that you have publications related to floor footwear interactions. As a formal qualification, you must hold a PhD degree (or equivalent)

Duties: PTB promotes the development of high-frequency measuring techniques in Germany and Europe by means of research and services. The advancing digitalization of the economy and society requires the traceability of new quantities in areas such as 5G or millimeter-wave technology. This includes: Investigating the development of measurement setups, calibration means and calibration procedures for high-frequency metrology, especially in the field of communication technology in the frequency range up to 100 GHz; Implementing novel metrological procedures for mixed-frequency scattering parameters, for example for mixers or in the form of passive intermodulation (PIM); Investigation and traceability of the measurement quantity of phase jitter; Publishing scientific work and participating in international conferences; Coordinating work and collaborating with the project partners from industry; Writing project reports and presenting results
Requirements: You have completed university studies (Master's or German Diplom ) in electrical engineering, applied physics or in a comparable field and have at least obtained the grade good; You have experimental skills and are familiar with experimental research work; You have a sound knowledge of high frequency and high-frequency metrology; Ideally, you have a sound (background) knowledge of telecommunications and communications engineering; You have experience in setting up measuring station controls and in assessing the measurement data; You have programming skills, e.g. in Python or Matlab; You are familiar with numerical simulations; You are able to carry out scientific work autonomously; You are a team player with excellent communication skills; You have a very good command of spoken and written English; German language skills would be an advantage; You are physically fit to work in a laboratory; You are willing to travel within Germany and abroad within the scope of your assignment

Duties: Die Quantenkontrolle über gefangene Ionen ist einer der am weitesten fortgeschrittenen Ansätze, einen fehlertoleranten programmierbaren Quantencomputer zu entwickeln. Basierend auf Ionenfallenchiptechnologie mit Mikrowellen-Nahfeldkontrolle soll ein 50-Qubit System aufgebaut werden. Dabei werden alle Aspekte vom Chipdesign und -fertigung mit integrierter Optik und Elektronik über Laser- und Elektronikentwicklung bis hin zu den verschiedenen Software-Schichten und Anwendungen abgedeckt. Ihre Aufgabe ist die Entwicklung und Charakterisierung eines supraleitenden Einzelphotonendetektors für Photonen im UV-Bereich (ca. 3 eV), der in den Ionenfallenchip integriert werden soll. In unserem Projekt arbeiten Sie an der: Optischen Simulation dielektrischer und supraleitender Schichten; Fertigung von waferbasierten optischen Resonatoren und supraleitenden Dünnschichten im Reinraumzentrum der PTB; Optischen und elektrischen Charakterisierung der gefertigten Resonatoren und Dünnschichten bei ...
Requirements: Abgeschlossenes Hochschulstudium (Diplom/Master) der Fachrichtung Physik, Elektrotechnik oder vergleichbar mit mindestens „gutem“ Abschluss; Vertiefte Fachkenntnisse im Bereich Quantenphysik; Praktische Erfahrungen im Bereich Optik/Photonik und/oder Dünnfilmtechnologie; Erfahrungen mit kryogenen Experimenten sind von Vorteil; Programmiererfahrung, möglichst in Python und/oder C++; Ausgeprägte Team- und Kommunikationsfähigkeit; Experimentelles Geschick und analytische Fähigkeiten; Gute Deutsch- und Englischkenntnisse in Wort und Schrift; Bereitschaft zu Dienstreisen im In- und Ausland; Hohes Mass an Engagement, eigenverantwortliches Arbeiten sowie Lernbereitschaft; Die physische Möglichkeit zur Laborarbeit und zu Arbeiten im Reinraum muss gegeben sein

Duties: Bearbeitung von komplexen chemischen Aufschlüssen zur nuklidspezifischen Alpha- und Beta-Analyse für Rückbau- und Kundenproben; Radiologische Untersuchung und Beurteilung von Anlagen und Komponenten aus industriellen Projekten: Labormessungen, Verarbeitung der Messresultate und Erstellung von Berichten; Bearbeitung von Proben und Quartalsproben von industriellen Kunden; Labormessungen von chemischen und physikalischen Parametern sowie Strahlungsparametern; Pflege und Unterhalt von Strahlungsmessgeräten sowie deren Software; Mitarbeit bei der Pflege der Radioanalytik-Datenbank als Super-User
Requirements: Berufsausbildung (Chemielaborant/in EFZ oder gleichwertige Grundausbildung) mit praxisbezogener Zusatzausbildung HF (wissenschaftliche Richtung) oder auch Chemiker/in FH; Mehrjährige funktionsspezifische Praxiserfahrung, Zuverlässigkeit, hohe analytische Genauigkeit und zeitgerechtes Arbeiten; Erfahrung mit verschiedenen analytischen Messinstrumenten, Softwares sowie mit präparativen, chemischen Trennmethoden im Labor und mit spektrometrischen Analysen; Sicherer Umgang mit chemisch-physikalischen Apparaturen und Messgeräten; Kenntnisse im Bedienen von PC-Softwares (MS-Office), im speziellen mit Datenauswertungen, Messprogrammen und Analysensoftwares; Sehr gute Deutschkenntnisse mit Grundkenntnissen in Englisch und Französisch

Duties: You will learn how to develop a scripted guard rail generation and rendering pipeline from a rich set of geometric parameters. The development shall rely on the Blender Python interface and it shall allow for the generation, rendering and compositing of semi-synthetic image datasets, subsequently used for learning representations of VRS parts; Ultimately, via these learned representations, characteristic guard rail parts such as the beam wave structure, base/post elements shall be recognized with a high accuracy from real images; Based on our preliminary Blender data generation scripts (handling cameras, textures and illumination variations), you will support our team in elaborating a fully parameter-driven rail-guard generation, rendering and compositing pipeline (as a set of Python scripts)
Requirements: Ongoing studies (bachelor’s +4th semester or, ideally, in master’s studies) in computer science, software engineering, information and computer engineering, mathematics, robotics or similar; Good knowledge and programming experience in Python; Basic knowledge of Blender beneficial; Background knowledge and interest in visual computing; Interest in turning exciting ideas into real Machine Learning based image analysis solutions in a challenging context; Fluency in English or German

Duties: Develop independent research and participate in a research project on the geometry of convex domains in hyperbolic manifolds. Limited participation in the teaching missions of the Mathematics Department (at most 70h/year)
Requirements: Candidates should have a recent PhD (to be obtained at the beginning of the contract) and excellent research potential with research interests in low-dimensional geometry and topology, geometric analysis, or related areas in mathematics or possibly mathematical physics. Experience in hyperbolic geometry, Teichmüller theory, geometric analysis, or the study of geometric structures or representations varieties is a plus. Knowledge of either French or English is required

Duration: 3 y
Duties: The position holders will be required to perform the following tasks: Carrying out research in one of the predefined areas; Participation in the related standardization committees; Disseminating results in top scientific venues; Assisting in organization of relevant workshops
Requirements: Qualification: The candidates should possess an MSc degree or equivalent in computer science, computer engineering, or applied mathematics. Experience: The ideal candidates should have some knowledge and experience in a number of the following topics: Optimisation; Algorithmics; Parallel/Distributed computing; AI/Machine learning; Language Skills: Fluent written and verbal communication skills in English are required. Knowledge of French, German or Luxembourgish is desirable

Duties: One task of this project is to elaborate various pose estimation concepts (orientation parameters from regression, near-infrared marker detection, skeleton-based fitting) using a key-point based multi-task learning framework; Moreover, you will investigate existing datasets to accumulate relevant training data; You will learn how to evaluate possible estimation techniques yielding 2D or 3D pose parameters; You will support our team in building a prototypic demonstrator system
Requirements: Ongoing master’s studies in the field of computer science, software engineering, information and computer engineering, mathematics, robotics or similar; Knowledge of fundamental Computer Vision and/or Machine Learning concepts; Knowledge of Python, preferably also PyTorch; Interest in turning exciting ideas into real Machine Learning based image analysis solutions in a challenging context; Good knowledge of verbal and written English

Duties: Sie übernehmen die Betreuung von verschiedenen Forschungs- und Industrieprojekten; Sie interagieren mit verschiedenen Ansprechpersonen aus Forschung und Industrie; Ihr Interesse gilt sowohl dem wissenschaftlichen Arbeiten wie auch der Entwicklung von (Legierungs-) Konzepten und (Umform-)Verfahren für die technische Umsetzung der Projektziele; Sie publizieren Ihre Erkenntnisse in internationalen Fachzeitschriften und präsentieren diese auf nationalen wie internationalen Konferenzen; Sie interessieren sich für neue Technologien und sind mit den wichtigsten Innovationen rund um Industrie 4.0 bzw. digitaler Prozessoptimierung vertraut; Sie unterstützen und betreuen aktiv unseren wissenschaftlichen Nachwuchs (Junior Scientists, Master Student*innen, Praktikant*innen)
Requirements: Abgeschlossenes technisches Studium (idealerweise PhD), vorzugsweise Werkstoffkunde, Metallurgie, Maschinenbau bzw. Physik; Gute Kenntnisse in aktuellen Technologien und Verfahren in der Domäne der Werkstoffentwicklung bzw. Prozessoptimierung; Beherrschung der relevantesten Charakterisierungsmethoden (z.B. REM/EBSD/EDX, DSC, Dilatometer, etc.); Beherrschung der relevanten Softwaretools (z.B. MatCalc, …); Hands-on Mentalität und Affinität zur Schaffung von nachhaltigen technischen Lösungen und deren Produktivsetzung; Hohe Einsatzbereitschaft und Teamfähigkeit; Gute Sprachkenntnisse Englisch und Deutsch in Wort & Schrift

Duties: Das Eidgenössische Nuklearsicherheitsinspektorat ENSI ist die Aufsichtsbehörde des Bundes für die nukleare Sicherheit und die Sicherung der Schweizer Kernanlagen
Requirements: Bietet das Eidgenössische Nuklearsicherheitsinspektorat ENSI gerade keine passende Stelle an, die Ihren Fähigkeiten, Ihren Wünschen und Vorstellungen entspricht? Dann können Sie sich auch initiativ mit einer Spontanbewerbung bewerben

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: As a Designer-Draughtsman in the Design Office, you will be in charge of: The design and integration of mechanical systems and components for particle accelerators and detectors using computer-aided design tool; The preparation of drawings for specifications and manufacturing folders in compliance with relevant drafting standards and current quality assurance plans; The preparation of the project documentation following the design office quality assurance procedures; The follow-up of the manufacturing and assembling of mechanical components
Requirements: Higher technical diploma in the field of mechanics or a related field. Experience: Demonstrated working experience as a designer in a mechanical design office; Demonstrated experience with 3D and 2D technical drawing software

Duties: The TTE programme is aimed at technicians who are looking for a challenging professional experience which furthers their career. You will have the opportunity to work in a diversity of fields at the cutting edge of technology: electronics, electricity, mechanics, IT, vacuum, cooling and ventilation, safety, radioprotection, survey engineering, are but a few of the examples of the many domains in which successful applicants will learn and contribute their knowledge
Requirements: You have a Technical Diploma, and no more than 4 years' relevant experience after finishing your diploma; If you are currently studying, you are still eligible to apply, although you are expected to have obtained your qualification by the start of your appointment at CERN; If you hold a BSc or MSc, you are not eligible. However you may be eligible for the Fellowship Programme

Department: Collaborative Research Center
Duties: The aim of the Collaborative Research Center is to develop mathematical data analysis for the natural sciences, i.e., mathematical theory and tools to efficiently extract maximal quantitative information from experimental data. As new measurement techniques and instruments keep being devised and improved for inexpensive and efficient data acquisition, the current bottleneck is how to extract meaningful information from the resulting vast amounts of such measurements. Typical reasons are that modern measurement technologies often provide such information only in an indirect manner and that the observational data are strongly corrupted by noise and often generated in an inherently random way
Requirements: You hold an excellent M.Sc. degree (or equivalent) in mathematics/related field or a natural science in a field represented in this CRC; As a mathematician, you have a strong interest in areas such as inverse problems, mathematical statistics, optimization, differential equations, stochastic processes, scientific computing, machine learning or mathematical data analysis, and you like to work with real data; As a natural scientist, you have a background in biophysics, physical chemistry, biochemistry, structural biology, neuroscience, condensed matter physics, astrophysics, computational physics or biomedical imaging and experience with computational data analysis; You are fully proficient in written and spoken English

Duties: Are you currently studying for a Bachelor or Master degree in Physics, Engineering, Computer Science or Mathematics? Are you looking for a training period during the European summer (June-September)? If so, this could be the opportunity for you: apply now for the CERN Online Summer Student Programme!
Requirements: You are a Bachelor or Master student (not PhD) in Physics, Engineering, Computer Science or Mathematics and should have completed, by the European Summer 2021, at least three years of full-time studies at university level. You have a good knowledge of English; knowledge of French would be an advantage

Duties: Are you currently studying for a Bachelor or Master degree and have a strong IT profile? Are you looking for a training period during the European summer (June-September)? If so, this could be the opportunity for you: apply now for the CERN openlab Remote Summer Student Programme!
Requirements: You are a Bachelor or Master student (not PhD) with a strong computing background and should have completed, by the European Summer 2021, at least three years of full-time studies at university level; You have a good knowledge of English; knowledge of French would be an advantage

Duties: Thereby successful candidates will pursue a doctoral degree on the following topics: Smart grids and digital energy systems; IT-supported integration of industrial processes into the energy market; IT-Platforms to provide access and transparency to flexibility providers; The position holder will be required to perform the following tasks: Development of a service-oriented platform architecture; Definition of the interfaces for data exchange between individual market participants and services; Modelling flexibility of industrial companies with complex interrelations and defining data exchange requirements; Requirement analysis for possible electricity market services; Design of the interface to the company-internal platforms for energy management; Collaboration with industrial and research partners for the implementation; Participating in proposal drafting; Assisting in organization of relevant workshops; Disseminating results through scientific publications
Requirements: What we’re looking for: The interest and desire to work in interdisciplinary teams; A desire to deliver the best solutions in the highest quality; The ability to work in a team, motivation, self-initiative, flexibility, and willingness to work; Sound analytical skills; Solution-oriented working habits; The willingness to assume responsibility; An excellent degree; Qualification: We welcome candidates with a M.Sc. degree in Computer Science, Information Systems Engineering, or similar disciplines who are interested in working at the intersection of digitalization and energy systems. We require commitment, team working, and a critical mind of the candidate. Proven research experience will be considered as an advantage (publications, awards, and other relevant aspects included in the CV will be considered). Experience: The ideal candidate should have some knowledge and experience in the following topics: Software Engineering; Service-oriented architectures; and be familiar with the prin...