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STRABAG employs about 86,000 people at 2,400 locations around the world, working on progress. Our projects are characterised by their uniqueness and individual strengths, just like each and every one of us. From building construction and structural engineering, road construction and civil engineering, bridge building and tunnelling, project development, building materials production or facility management – we think ahead, and aim to become the most innovative and sustainable construction technology group in Europe. Equal opportunity, diversity and inclusion are an integral part of who we are as a company and how we operate. Together we work as partners to complete projects successfully and grow with new challenges. Together we achieve great things. Build the future with us! Apply now to become part of our team. The group unit STRABAG Innovation & Digitalisation acts as an enabler for digitalisation and development projects. In close cooperation with operational colleagues, more than 400 different innovation and digitalisation projects are driven forward. Application Services & Data Science deals with the strategic (further) development of software products as well as the future-oriented and targeted handling of data in all corporate areas. We rely on a variety of technical and strategic skills as well as diverse personalities in our teams. Analysis and integration of new data sources in the Group's central data lake in the Microsoft Azure Cloud Processing and provision of data for Data Analysts and Data Scientists Participation in the further development and operation of the central Microsoft Scale Analytics based multilevel cloud platform for STRABAG data science and data warehouse projects Work as part of the motivated, innovative SCRUM team of STRABAG Innovation & Digitalisation in close cooperation with the Data Product Managers, Cloud Engineers and Solution Architects Extensive experience with ETL processes, preferably with Microsoft Azure (Synapse Analytics Workspace) and Databricks Solid technical understanding and practical experience with modern concepts for data science applications in a cloud environment Knowledge of data modeling and proficiency in relevant technologies for data processing (e.g. SQL, Python) Team player, analytical thinking and structured way of working Very good written and spoken English diverse career opportunities career development sport activities competitive compensation employee discounts cantine health promotion employee events good transport connection Do you want to create real added value with your solutions? With us, you can expect technologically challenging projects in a dynamic environment that make a significant contribution to the company's success. Become part of a collegial, international and virtual team that works together across locations. In addition to a broad onboarding program for your future tasks, your personal and professional development is of particular importance to us. We also create a modern and flexible working environment, with mobile working being an important part of our concept. The gross annual salary for this position in Austria is starting from EUR 48,000. In addition, we offer an overpayment in line with the market depending on qualifications and experience. In Germany, the payment is governed by Bundesrahmentarifvertrag für das Baugewerbe. Please upload your application documents (CV, certificates) in English or German. We look forward to hearing from you!

At IBM, we're revolutionizing our approach to technology sales. Our Client Engineering teams are champions of co-creating solutions in real-time to solve complex business challenges. As an AI Engineer within our Client Engineering team, you'll harness your unique skills and perspectives to engage in the development and deployment of AI systems using our watsonx platform, creating 4-to-6-week pilots for clients, and contributing to IBM's story of growth and innovation. In this role, you'll partner with technical leaders across IBM and drive client engagements with a curiosity that sparks innovation and learning. Your contributions will form a cornerstone in our sales strategy, facilitating rapid client delivery and product innovation. Your Role and Responsibilities An AI Engineer at IBM is not just a job title – it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. Success is our passion, and your accomplishments will reflect that, driving your career forward, propelling your team to success, and helping our clients to thrive. Your primary responsibilities will include: Proof of Concept (POC) Development: Develop POCs to validate and highlight the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.Collaboration and Project Management: Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to ensure smooth execution and successful delivery of AI solutions. Effectively communicate project progress, risks, and dependencies to stakeholders.Solution Implementation and Deployment: Oversee the implementation and deployment of AI solutions, working closely with development teams to ensure adherence to best practices, quality standards, and performance requirements. Provide technical guidance and support during the implementation phase.Solution Optimization and Performance: Continuously monitor and optimize the performance of AI solutions, including foundation models and large language models. Identify opportunities to enhance efficiency, accuracy, and speed through fine-tuning, algorithmic improvements, or infrastructure optimization.Customer Engagement and Support: Act as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.Documentation and Knowledge Sharing: Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.Industry Trends and Innovation: Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. You will be given the opportunity to learn state-of-the art techniques in the field of AI, and specifically Large Language Models and Ethical and Transparent AIThe chance to work on hands-on solutions and see your ideas come to life: our students are actively involved in our projects. You speak fluent German (C1) and English at B2 level or better You have successfully completed your bachelor's degree in a STEM field and are currently pursuing a master's degree You are passionate about technology and software solutions related to artificial intelligence and data science You have confident programming skills in Python and/or R You have taken linear algebra and probability classes achieving good grades Plus: A basic Knowledge of Cloud and containerization technologies Preferred Technical and Professional Expertise Technical skills are not necessary but an interest to work in an technology environment is important At IBM the possibilities are endless. We offer extensive onboarding and ongoing development, fostering an environment where you can thrive and shape your own career trajectory. Surrounded by a supportive team, you'll be integral in creating user-centric, compelling pilots that lead clients to continually invest in IBM's people, products, and services. Reference Salary: EUR 2.392,00– brutto on a full-time basis.

Du möchtest permanent dazulernen, neue Herausforderungen annehmen und dein vorhandenes Potenzial ausschöpfen? Dann ist das IBM Client Innovation Center genau das Richtige für dich! Bei uns gibt es individuelle Karrierepfade, die es ermöglichen das Beste für dich herauszuholen. Ob Berufseinsteiger/in oder erfahrene/r Data Scientist, wir finden eine passende Einsatzmöglichkeit für dich und gestalten deinen Karriereweg – gemeinsam! Du unterstützt bei der Weiterentwicklung von Generative AI-Systemen im Zuge eines spannenden Projektes im Telekommunikationsbereich Du bist verantwortlich für die Datenanalyse, -visualisierung und -interpretation Du entwickelst und implementierst ML-Modelle, einschließlich der Anpassung von Basismodellen/LLMs zur Bewältigung spezifischer geschäftlicher Herausforderungen Dazu gehört auch die Verwaltung der Big-Data-Infrastruktur und Durchführung von Data-Engineering-Aufgaben Abgeschlossene IT-Ausbildung (z.B. HTL, Lehre, Studium) Praktische Erfahrung mit LLMs, Generative AI und NLP sowie umfangreiche Kenntnisse über Data Science-Best Practices Sehr gute Programmierkenntnisse mit Python und Erfahrung mit Softwareentwicklungs-Best Practices, wie Test-Driven Development Ausgezeichnete Deutschkenntnisse und gute Englischkenntnisse in Wort und Schrift Preferred Technical and Professional Expertise Erfahrung mit Vektordatenbanken Erfahrung mit Cloud Best Practices Bedeutet Miteinander statt Gegeneinander – ständige Weiterentwicklung und Knowledge-Sharing sind Teil unserer Kultur Wir bieten dir neben spannenden Projekten, flexible Arbeitszeiten und ein modernes Umfeld. Außerdem erhältst du eine überkollektivvertragliche Entlohnung ab 56.000€ brutto/Jahr für 38,5 Stunden/Woche, mit Bereitschaft zur Überzahlung abhängig von deiner Qualifikation und Erfahrung. Wir legen Wert auf Inklusion und freuen uns über Bewerbungen von Menschen mit Barrierefreiheitsbedürfnissen am Arbeitsplatz. flexible Arbeitszeiten 2 zusätzliche Urlaubstage Wiener Linien JobTicket (Jahreskarte für die öffentlichen Verkehrsmittel im Wert von 365EUR) ein modernes Notebook + iPhone State-of-the-Art Technologien individuelle Betreuung durch Career Coaching, Mentoring & unser Buddy-Programm diverse Weiterbildungsmöglichkeiten (on-site-trainings, e-learnings, Udemy Lizenz, Zugang zu exklusiven Fachjournals, Zertifikate, Badges, etc.) internationale Communities zum globalen Vernetzen (z.B. Cognitive Development, Blockchain, Cloud oder Project Management Communities) Afterwork-events Kantinenzuschuss Betriebsarzt und vergünstigte Erholungsprogramme (Yoga, Pilates, Massagen, etc.) Gleitzeitmodell + keine All-ins oder Überstundenpauschale Home-Office Pauschale (im Wert von 70EUR pro Monat) diverse Discounts

At the University of Vienna, more than 10,000 personalities work together towards answering the big questions of the future. Around 2,900 are responsible for a variety of administrative tasks and thus support excellent research and teaching. Are you looking for a meaningful professional position and work that positively impacts society, too? Do you like to organize and coordinate things? We are looking for a/anTechnican 74 Max Perutz Labs Job vacancy starting: 03/01/2024  | Working hours: 20,00  | Classification CBA: §54 VwGr. IIIb Limited contract until:  Job ID: 1945If you enjoy working technically and administratively and would like to support our teachers and students in research, teaching and studies, then welcome to the team! Your personal sphere of influence:The Max Perutz Labs bring together the groups working in molecular biology at the University of Vienna. In order to intensify the collaboration with the Medical University of Vienna in the field of molecular biosciences, the Max Perutz Labs were founded in 2005. We maintain high-tech research infrastructures at two neighbouring locations, where around 450 scientists from more than 40 nations work in basic biomedical research in more than 45 research groups. As a technician, you will support the employees of the Department of Structural Biology and Computational Biology in research, teaching and studies and will be responsible for administrative and technical tasks. The position is provisionally limited to 1 year with the option of a permanent extensionYour future tasks:Technical management of the Department's core infrastructure, includingAssist in managing general and scientific infrastructure (centrifuges, refrigerators, autoclaves, etc.), ordering service/repairs, disposal, inventory, purchasing equipment and suppliesInterface to the building technology of the Max Perutz Labs to ensure smooth operation and interface to the space and resource management (RRM) of the University of Vienna to correct defects, order inventory and manage the services of cleaning companiesOrdering and supporting electrical and mechanical machines in the department's workshop, training new employeesSupport with general tasks related to teaching, contacting the IT team (projectors, PCs, etc.) and preparing lecture hallsSupport in research operations: Operate laboratory equipment independently, carry out measurement and analysis work, support with research work and train employeesYou work in teaching and study operations: this means that you support the set-up of experiments, help with course preparation (including lecture hall technology), train students and provide assistance, and work on projects.Act as contact person for communication with service technicians and sales employeesAs the department's security representative you have contact to the safety inspector, labor inspector and security services of the University of ViennaYou are a fire wardenYou support the commissioning of new employees (e.g. first aid courses, applying for a poison license)This is part of your personality: You have a scientific, technical or engineering degree, preferably at master's level, relevant to the above job descriptionYou have at least 2 years of practical experience in technical managementYou are motivated and able to carry out tasks independently and effectivelyYou have excellent oral and written communication skills in English and GermanYou have exemplary organizational skills and attention to detail and the ability to work in a teamYou are service-oriented and like to look for solutionsWhat we offer: Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement).Inspiring working atmosphere: You are part of a committed team with diverse university backgrounds in a relaxed work environment.Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.Internal further training: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.Fair salary: The basic salary of EUR 2,958.90 for 40 hours increases if professional experience can be taken into accountEqual opportunities for everyone: We look forward to diverse personalities in the team!It’s that easy to apply:With your CV / letter of motivationLeaving certificate contact information for 2 references Via our job portal / apply button - for further questions you can contact [email protected] you have any content questions, please contact:Bojan Zagrovic  [email protected] look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.University of Vienna. Space for personalities. Since 1365.Data protectionApplication deadline: 04/01/2024 Laboratory & Technology

TU-ID: 194 | 2024 | 14 | 230931Assistant Professorship (all genders) - Tenure Trackfor the specialised field of Recommender SystemsTU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society. The Faculty of Informatics at TU Wien invites applications for a full time Assistant Professor position with tenure track. The position has a focus on Recommender Systems and is affiliated with the Institute of Information Systems Engineering, Research Unit Data Science. The estimated starting date is May 2024. The work contract is initially limited to six years. The candidate and TU Wien can agree upon a tenure evaluation, which when positive, opens the possibility to change the position to Associate Professor with an unlimited contract.TU Wien is among the most successful technical universities in Europe and it is Austria’s largest scientific-technical research and educational institution. The Faculty of Informatics, one of the eight faculties at TU Wien, plays an active role in national and international research and has an excellent reputation. The main areas of research include Computer Engineering, Logic and Computation, Visual Computing & Human-Centered Technology, as well as Information Systems Engineering.Tasks:We invite applications from candidates with a focus on Recommender Systems, which encompass software tools and techniques that offer personalized suggestions to users, facilitating information retrieval and product search activities. The rapid rise of online platforms using recommender systems has sparked increasing debate about their influence and potential drawbacks. This includes concerns such as filter bubbles, echo chambers, fake news, and micro-targeting, with some attributing responsibility to personalization and recommender systems for these issues. Increased user awareness of inherent biases in these systems has led to a call for solutions that reduce bias and prioritize meaningful interactions over simplistic engagement metrics. Additionally, users often perceive recommendations as overly simplistic and lacking depth, particularly in domains like media, leisure, and lifestyle, where emotional factors heavily influence decision-making. The candidate will strengthen our Informatics research and education in the Data Science Research Unit, focusing on designing approaches that cater to the unique preferences and needs of diverse users and communities. This involves creating evaluation metrics beyond mere accuracy, considering novelty, diversity, and serendipity. Candidates should also propose nuanced user models that take into account social relationships among users, while mitigating inherent biases in these systems. Additionally, we encourage applicants to integrate emerging technologies like Generative AI into their Recommender Systems research, using innovative methods to improve recommendation quality and user experience. However, critical reflection is essential and should encompass the ethical implications, potential biases, and societal impacts of these technologies. The research conducted should be situated within the broader framework of Digital Humanism, ensuring that technological advancements remain aligned with human interests and values. We are particularly interested in candidates who will complement our existing expertise and lead to fruitful collaborations not only with other members of the Faculty of Informatics but with TU Wien as a whole.  Besides research, the duties of an Assistant Professor at TU Wien include graduate and undergraduate teaching (in English and German) as well as contributing to usual management and faculty service tasks. We expect the position holder to provide leadership in delivering and developing the Master program Data Science as well as to teach courses in this program and in the other programs of the Faculty of Informatics.Your profile:EssentialPhD or doctoral degree in Computer Science or related subjectsPost-doctoral experience at a university or other research institutionOutstanding research and publication recordExcellent reputation in the international scientific communityExperience in raising research funds and managing scientific research projects, in particular the acquisition and positive 2-year evaluation of a Christian Doppler Laboratory in the relevant scientific areaExperience in outreach activities, in particular on the topic of Digital HumanismExperience in university teachingPedagogic and didactic skillsAdministrative and organizational skillsDesirableLeadership skills and experienceExperiences in inter- and trans-disciplinary researchGender sensitivity and social skillsIf the candidate’s knowledge of German is not sufficient, the willingness to learn German is expectedWe offer:Excellent working conditions in an attractive research environmentAn attractive salary, including additional contributions to a pension fundSupport for relocating to Vienna (if required)A position in a city with an exceptional quality of lifeCentral location of workplace with very good accessibility (U1/U4 Karlsplatz)Additional benefits for employees can be found at the following link: Fringe-Benefit Catalogue of TU Wien General information can be found at the following links:TU WienFaculty of InformaticsThe 4 research foci of the Faculty of InformaticsInstitute of Information Systems EngineeringData Science Research UnitTU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter. The employment starts as University Assistant with a minimum salary of EUR 4,752.30 gross (14 x per year) according to the collective bargaining agreement for a PostDoc. After signing the qualification agreement, the employment continues as Assistant Professor with a minimum salary of EUR 5,595.60 gross (14 x per year).We look forward to receiving your application until May 2nd, 2024.Applications have to include the following documents:A detailed curriculum vitaeA list of publicationsA letter of motivationA teaching statementA research statementCertificates of doctoral and diploma degrees should be uploaded under the category: +add more documents If you have any questions, please do not hesitate to contact usCarmen Keck | T: +43 1 588 01 406201Here you can find also relevant information about the application process. Technology for People Furthermore, please note that applicants will not normally be reimbursed for travel costs incurred in connection with this admission process.

TU-ID: 150 | 2024 | 14 | 231213University Professor (all genders)Specialist field of Chemische WerkstofftechnologieTU Wien is Austria's largest institution of research and higher education in the fields of technology and natural sciences. With over 26,000 students and more than 4000 scientists, research, teaching and learning dedicated to the advancement of science and technology have been conducted here for more than 200 years, guided by the motto "Technology for People". As a driver of innovation, TU Wien fosters close collaboration with business and industry and contributes to the prosperity of society. At the Faculty of Technical Chemistry at TU Wien, the position of a University Professor in the field of Chemische Werkstofftechnologie with permanent (full-time) contractual employment is to be filled as of January 2025.This is a professorship regulated by § 98 of the 2002 Universities Act (UG).The position as professor for Chemische Werkstofftechnologie has been allocated in TU Wien's development plan to the following TU Focal Area(s) of Research: Materials and Matter.Professional focus:At the Faculty of Technical Chemistry at TU Wien, the subject of Chemical Technology of Materials is to be strengthened and expanded by a professorship. The main focus will be on the chemical aspects of the production of inorganic materials (including synthesis from raw materials and processing), the chemical and structural changes during use up to the end of the utilisation cycle and their reintegration into the materials cycle after use. On the one hand, the professorship will be required to conduct basic technological research in this area, but will also be a partner to Austrian and international industry, which is very strong in these areas, in order to be able to carry out the necessary transformation processes (especially in the context of the energy transition and sustainable development). The professorship should not be restricted in terms of the class of materials, as long as they are inorganic materials.Potential, future-orientated topics for this professorship could therefore beDisruptive, unconventional inorganic-chemical technologies with the overarching goal of drastically reducing CO2 emissions and resource-efficient productionUse of new and future digital tools in the field of materials research (AI/machine learning, digital twinning of material development and manufacturing processes)"High-throughput processing" for alloy development, upscaling to industrial dimensionsMaterials for use in extreme conditions (energy conversion, energy generation, aerospace applications, etc.)Materials for H2 conversion, storage and transport technologyDevelopment of materials for energy generation and storage, carbon/CO2 capture and utilisation (CCS/CCU)Reducing Europe's dependence on raw materials by reintegrating materials into the material cycleExtending the life cycles of materials and products, taking into account the complexity of interactions Synergies in the utilisation of existing analytical instruments, measuring devices and technical equipment are highly desirable, as is the contribution of know-how not available at TU Wien and the development of new methods.We are therefore looking for a person with an excellent academic profile and relevant experience in one or more of the above-mentioned subject areas, who is able to help shape the research and teaching profile of the Faculty of Technical Chemistry in the field of Chemical Technology of Materials and expand it to include new, promising areas of specialisation.In addition to research, the tasks of a university professor at TU Wien also include teaching (in German and English) in Bachelor's, Master's and PhD programmes (within the faculty, between faculties, and also within the framework of cross-university cooperative curricula) as well as participation in the management of the institute and the faculty. Teaching duties include representing the subject of Chemical Technology of Materials in Bachelor's and Master's degree programmes as well as holding lectures and laboratory exercises on subject-related topics in the degree programmes of the Faculty of Technical Chemistry.On the one hand, the professorship is embedded in the TU-wide research focus "Materials and Matter" with its eight research fields, and on the other hand it is closely linked to the Faculty of Technical Chemistry through the faculty focus "Chemistry and Technology of Materials".At institute and faculty level, potential synergies include the subject areas of Applied Solid State Chemistry (E164), Theoretical (Solid State) Chemistry (E165), Technical Electrochemistry (E164), (Molecular) Materials Chemistry (E165), Analytical Chemistry (E164), but possibly also the area of recycling-based circular economy (E166). Further extensive opportunities for cooperation may arise with the departments of other faculties that are heavily involved in the properties and use of materials, e.g., Materials Science and Materials Engineering (E308), Applied Physics (E134), Solid State Electronics (E362), Mechanics of Materials and Structures (E202) or Sensor and Actuator Systems (E366).The TUW's technically well-equipped X-Ray Centre (XRC) and the wide range of surface analysis methods at the Analytical Instrumentation Center AIC (XPS, AES and others in the ELSA cluster) as well as the University Centre for Transmission Electron Microscopy (USTEM) are also potentially highly relevant for the new professorship.Your profile:Completed doctoral or PhD studies in the relevant subject from a domestic or equivalent foreign university or research institution or achievement of an equivalent scientific qualificationThe qualification for teaching (venia docendi) acquired at a domestic or equivalent foreign university or an academic qualification recognisable as being equivalent to the venia docendiHigh scientific reputation, proven by publications in internationally prestigious scientific journals, patents, scientific lectures, editorial and expert work, organization of conferences, awards etc.Ability to form networks, proven e.g., by extended relevant stays abroad and/or through cooperation with foreign and domestic universities and research institutionsExperience in the acquisition, execution and management of research projectsThe ability and willingness to manage a research division or a research groupPedagogic and didactic suitability for academic teaching in the relevant subject in German and EnglishExperience in the supervision of scientific work of studentsThe prospective position holder has social and gender competence and experience in the promotion of young researchers and the advancement of female students/colleagues/ employees. (In the course of the advanced selection process, a professionally accompanied survey of social skills will take place).Willingness to move the centre of life to Vienna (On-site presence)In case there is no adequate knowledge of German, willingness to quickly learn German is presupposed for teaching in bachelor programmes and participation in management of the institute and the faculty as well as in university bodiesWe offer:Excellent working conditions in an attractive research environmentAttractive compensation and further benefits (see also: Fringe-Benefit Catalogue of TU Wien)Financial support of research activities in the first years (e.g. equipment endowment/ start-up funds)Support in moving to ViennaDual career advice offers partners and families of the university professors appointed to TU Wien various support opportunities tailored to their individual situationAn employee-friendly environment in a city with an extraordinary high quality of lifeTU Wien is committed to increasing the proportion of women in particular in leadership positions. Female applicants are explicitly encouraged to apply. Preference will be given to women when equally qualified, unless reasons specific to a male applicant tilt the balance in his favour.People with special needs are equally encouraged to apply. In case of any questions, please contact the confidant for disabled persons at the university, Mr. Gerhard Neustätter. Classification in the A1 category of the collective bargaining agreement for employees of universities and a full-time minimum salary of EUR 89.075.00 gross annual is provided for. Furthermore, on top of the employee benefit fund, a company pension scheme will be set up for employees, depending on the duration of their employment, with the result that personnel benefits will increase. A higher salary depending on qualifications and experience is subject of appointment negotiations as well as detailed information about benefits.General information can be found at the following links: Faculty https://www.tuwien.at/tchInstitute https://www.tuwien.at/tch/ctaInformation about professorships and appointment procedures: Appointment ServiceWe look forward to receiving your complete application documents by May 23th, 2024.Applications in English must include at least the following documents: A detailed curriculum vitae (complete with professional and academic background)A short letter of motivationA presentation of previous academic activities including a survey of research and development projects carried out and of funding/grants raised (volume, duration, funding body etc), a list of patents, editorial and expert work, organized conferences and awards etc. as well as a list of lecturing and teaching activities evidenced by a list of the university courses held so far, a list of supervised scientific works of students and a list of invited lecturesA list of publications (including a link to a unique research identifier like ORCID) and copies of the five most important publicationsA research as well as a teaching concept with considerations on the future positioning and further development of the fieldRelevant certificates and official letters should be uploaded under the category: +add more documentsA data fact sheet should be uploaded under the category: +add more documents   If you have any questions, please do not hesitate to contact usApplication Management:Phone: +43 (1) 588 01 406201 Carmen Keck, Informations of the application processFaculty of Technical Chemistry:Phone: +43 (1) 588 01 ext. 15001 Dean Univ.-Prof. Dr. Marko MihovilovicPhone: +43 (1) 588 01 ext. 15002 Dean´s Office Sabrina LamprechtAppointment Service: Information about on-going appointment procedures Technology for People