• Geo-Sci-Info


    APPLICATION WEBSITE

    The Basque Centre for Applied Mathematics (BCAM) http://www.bcamath.org,together with Ikerbasque, the Basque Foundation for Science http://www.ikerbasque.net, invites applications for one Research Professor position in Computational Fluid Dynamics and one Research Professor position in Data Science. This Research Professor call offers permanent contract positions for experienced researchers.

    ONE Research Professor position in Computational Fluid Dynamics.

    Basis and Rules: http://www.bcamath.org/documentos_public/archivos/ofertas/BCAM2017_Ikerbasque_Perfil__CFD.pdf
    Application form: http://www.bcamath.org/en/research/job/research-professor-position-in-computational-fluid-dynamics

    ONE Research Professor position in Data Science.

    Basis and Rules: http://www.bcamath.org/documentos_public/archivos/ofertas/BCAM2017_Ikerbasque_Perfil__DS.pdf
    Application form: http://www.bcamath.org/en/research/job/research-professor-position-in-data-science

    We encourage immediate applications as the selection process will be ongoing.
    Desired skills and experience

    Candidates should provide:

    CV
    Letter of interest, including your research interest.
    2 recommendation letters (additional references may be requested during the evaluation)
    Statement of past experience (2-3 pages). Please, highlight your main results.
    Only researchers with a strong record of research will be considered. Women candidates are especially welcome.

    To submit your application please click on the "Go to application page" button.
    About the employer

    BCAM is a world-class research center on Applied Mathematics with a focus on interdisciplinary research in the frontiers of mathematics, attraction and training of talented scientists, development of new numerical and simulation methods, interaction with industry, and promotion of scientific and technological advances worldwide.

    Located in the Basque Country, it benefits from a long industrial tradition, and it is linked with the French Atlantic corridor, a region of excellence in Applied Mathematics. This context contributes to the task of building an excellence research center. BCAM counts with around 60 researchers from over 20 different countries with experience in some of the most prestigious research centers on their area, organized in 5 research areas and an administrative support team composed by 7 people.

    BCAM is a young research center that is facing its consolidation phase. In this sense, the scientific strategy of the center is based on three Scientific Platforms that have been set up in order to establish an interdisciplinary system capable of facing the challenges of Mathematical Science in a broad manner by bringing together Mathematics, Engineering and Sciences:

    • Core in Applied Mathematics: PDE, Numerical Analysis, Fourier Analysis, Algebraic Geometry, Probability and Statistics.

    • Computational Mathematics: Modeling andcomputer simulations using numerical, stochastic and Monte Carlo methods.

    • Applications of Mathematics to Industry, Social Sciences and Health Sciences.

    Regarding human resources management, BCAM core values rely on people as its main asset, so, the continuous evolution of the HR strategy is key for the success of BCAM in order to adapt to the needs of the people, so BCAM decided to launch the HR Excellence in Research process (as the implementation of the European Charter for Researchers and Code of Conduct for the Recruitment) to enhance the efficiency, effectiveness and impact of the actions that BCAM should undertake to provide an attractive and supportive environment to researchers. BCAM was awarded with the HR Excellence in Research in May 2016.

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  • Geo-Sci-Info

    Ingénieur de recherche ou post doc data scientist

    spécialisé en traitement automatique du langage

    sur données massives en santé

    L’équipe projet Données Massives en Santé (15 personnes) du Laboratoire
    Traitement du Signal et de l’Image (LTSI – UMR Inserm 1099) est composée
    d’ingénieurs de recherche et développement logiciel, de data scientists
    et de professionnels de santé spécialisés en informatique médicale qui
    conçoivent et développent des méthodes et outils d’intégration et de
    fouille de données massives en santé (Big Data).

    Elle intervient sur divers projets de recherche et développement, autour
    de ces thématiques, aussi bien dans un cadre interrégional (BIGCLIN,
    Réseau des Centres de Données Cliniques), national (projets INSHARE,
    PEPS) et international (IT-Foc, FIGTEM) en synergie avec le centre
    hospitalier universitaire de Rennes.

    L’équipe a une politique de transfert technologique. Elle développe un
    partenariat industriel pour le déploiement de son système eHop (entrepôt
    et outil de fouille de données biomédicales) dans les CHU. (voir :
    https://goo.gl/OhlG98 )

    Poste et mission

    • Développer au sein de l’équipe un axe traitement des données
      textuelles médicales (recherche d’information et plus généralement
      text mining) qui puisse répondre aux cas d’usages définis avec
      l’équipe médicale.
    • Développer, implémenter et évaluer des méthodes de traitement
      automatique du langage innovantes sur très larges volumes de données
      cliniques
    • Participer aux cycles R D du logiciel en lien avec l’équipe
      d’ingénieur : prospective/prototypage, évaluation, conception et
      développements, transfert industriel
    • Valoriser les travaux au travers de publications scientifiques dans
      des journaux et des conférences de références.
    • Participer aux réponses d’appel d’offre recherche.

    Profil :

    • Diplômé(e) de l’enseignement supérieur (bac +5 et/ou doctorat)
    • Background en mathématique, statistique et machine Learning,
      expérience d’utilisation de larges volumes de données, expérience en
      traitement automatique du langage, capacité à conduire des études
      expérimentales, compétence en analyse de données, écriture
      scientifique, ainsi qu’en présentation et communication ;
    • Forte expérience en programmation et développement des systèmes.
    • Expériences en modélisation, en terminologies et ontologies médicales,
      python, R, Apache SPARK sont un gros plus.
    • Capacité à travailler en équipe pluridisciplinaire.
    • Environnement scientifique et technique

    Lieu : Centre des Données Clinique du CHU de Rennes / Faculté de
    médecine – Université Rennes1

    Applications : recherche clinique, épidémiologie, pharmacovigilance,
    études médico- économiques, médecine 4P

    Entrepôts de données biomédicales du biomédical du grand ouest : exemple
    à Rennes : 1,6 millions de patients, 33 millions de documents cliniques,
    330 millions d’éléments de données

    Thèmes de recherche : big data en santé, intégration et fouille de
    données, interopérabilité́ et sé- mantique, intégration des méthodes TAL,
    machine learning, analyse de cluster

    Technologies : calcul distribué, php, java, R, oracle, BD nosql,
    Framework Big data (spark), responsive framework

    Contrat de 12 mois (renouvelable) à Rennes - Poste immédiatement
    disponible (Mai 2017) Envoyer CV et lettre de motivation à
    marc.cuggia [ chez ] univ-rennes1.fr

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  • Geo-Sci-Info

    • 3 Junior postdoc

    The candidates should have defended their Ph.D. thesis in the period 01/04/2015-01/07/2017.

    http://bgsmath.cat/3-bgsmath-junior-postdoctoral-positions-2017-2019/

    • 3 senior postdoc

    The candidates should have defended their Ph.D. thesis in the period 01/04/2011- 31/03/2015.

    http://bgsmath.cat/3-bgsmath-senior-postdoctoral-positions-2017-2019/

    Deadline for applications May 3.

    Please circulate this announcement among potential candidates.

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  • Geo-Sci-Info

    Le Domaine d'Intérêt Majeur Math Innov, programme labellisé par la Région Île-de-France en décembre 2016, finance 12 allocations doctorales de 3 ans en mathématiques et en informatique fondamentale dans les laboratoires de son réseau (FSMP, FMJH, IHP, Fédération Bézout et Paris-Seine) pour la rentrée 2017.
    L'appel d'offre est ouvert jusqu'au 28 mai 2017, 23h59 heure de Paris.

    Les candidatures se font exclusivement en ligne via le formulaire (cf. lien ci-dessous)

    Retrouvez ici le détail de l'offre : https://www.dim-mathinnov.fr/fr/allocations-doctorales-15.htm
    Et le formulaire de candidature : https://www.dim-mathinnov.fr/fr/je-candidate-24.htm

    Pour plus de questions n'hésitez pas à contacter l'équipe gestionnaire : contact [at] dim-mathinnov.fr
    Bien cordialement,

    L'équipe de la Fondation Sciences Mathématiques de Paris
    Gestionnaire du DIM Math Innov
    https://www.dim-mathinnov.fr/fr/
    IHP - 11 rue Pierre et Marie Curie
    75231 Paris Cedex 05
    contact [at] dim-mathinnov.fr
    Tél : 33 (0)1 44 27 66 48

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  • Geo-Sci-Info

    Postdoctoral position in Pattern Recognition, Machine Learning and Computer Vision for the analysis of neuroimaging, biomedical and biological data - [ Postdoc ]
    Workplace: IIT - Genova - Italy

    The Pattern Analysis and Computer Vision department (PAVIS) at IIT (http://www.iit.it/pavis.html) is looking for a highly qualified candidate in the field of Computer Vision, Pattern Recognition, Machine Learning, and Image Analysis interested and possibly with some experience on Biomedical Data Analysis.

    PAVIS focuses on the analysis and understanding of multimodal data, like signals, images, videos and patterns in general, having a wide expertise on image and signal processing, computer vision, pattern recognition and machine learning. The attention is on the design of intelligent systems for real applications, especially related, but not limited, to surveillance security and biomedical imaging.

    The main mission of PAVIS is to design and develop innovative computational frameworks for advanced image-based and video-based data analysis, characterized by the use of smart sensors and advanced imaging devices. PAVIS plays an active role in supporting other research units at IIT providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad hoc solutions.

    For this reason, previous multidisciplinary experience is an added value which will be properly considered.

    The biomedical imaging team is involved in activities concerning:

    • Biomedical image analysis;

    • Analysis of multimodal neuroimaging data (functional and structural connectomics);

    • Biological signal/image/video processing;

    • Analysis of microscope optical imaging;

    • Animal behavior analysis (classification and abstraction).

    The ideal candidate must be knowledgeable within one or more of the following subjects: probabilistic graphical models, topic models and Bayesian non-parametric, relational learning, deep learning, RBMs, neural networks and auto-encoders, sparse and dictionary learning, kernel methods and manifold learning, graph-based learning and spectral analysis.

    Candidates to this position have, therefore, a Ph.D. in computer vision, machine learning, pattern recognition or related areas, and research experience and qualification should follow the same lines.

    Evidence of top quality research on the above specified areas in the form of published papers in top conferences/journals and/or patents is mandatory. A keen interest in biomedical applications is of course necessary. Strong programming skill is required.
    Experience in the preparation and management of research proposals (EU, US, national) and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered. The scientist is expected to publish his/her research results in leading international journals and conferences. She/he is also expected to contribute to the set-up of new project proposals, participate in funding activities, supervising PhD candidates and collaborate with scientists from different disciplines.

    The position is offered for a period of 2 years. Salary will be commensurate to qualification and experience and in line with international standard.

    Further details and informal enquires can be made by email to pavis [ chez ] iit.it quoting PAVIS-PD 73154 as reference number in the subject.

    Please send you application both to pavis [ chez ] iit.it and to applications [ chez ] iit.it, quoting PAVIS-PD 73154 as reference number, along with a curriculum listing all publications (possibly including pdf of your most representative publications), a research statement describing your previous research experience and outlining its relevance to the above topics and names of 2 referees.

    This call will remain open and applications will be reviewed until the position is filled, but for full consideration please apply by April 15, 2017.

    In order to comply with the Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), we have to kindly ask the candidate to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be used solely for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia.

    Your data will be processed by Istituto Italiano di Tecnologia, with headquarters in Genoa, Via Morego 30, acting as the Data Holder, using computer and paper based means, observing the rules on protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager.

    Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.

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  • Geo-Sci-Info

    Job offer
    Machine Learning Research Engineer

    Do you want to contribute to a fast-growing company at the cutting edge of innovation between optics and artificial intelligence? LightOn is looking for a Research Engineer specialized in Machine Learning / Data Science for the development of new optical co-processors for Artificial Intelligence.
    Within the R D team and reporting to the CTO, your main duties will include :
    ● the design of statistical learning algorithms that take advantage of LightOn processors,
    ● algorithm testing on LightOn’s processors,
    ● managing and interacting with industrial partners,
    ● interacting with developers of the software layer for network access (API),
    ● interfacing with the hardware developing team,
    ● carrying out rapid prototyping activities in synchronization with the rest of the team.

    REQUIRED PROFILE Engineering Degree (MSc or PhD) in Machine Learning / Data Science. An industry experience would be a plus.

    Technical skills (required) : You should
    ● Have some theoretical knowledge and hand-on experience in unsupervised or supervised machine learning (eg Deep Neural Networks),
    ● Have some experience on how to process and make sense of very large amounts of data,
    ● Be proficient in scientific programming (Python, C ++, Matlab, ...).
    ● Be a user of one or more Machine Learning/Deep Learning framework(s) (Scikit-learn, TensorFlow, Keras, Theano, Torch, etc)

    A significant interest in one or more of the following topics would be a plus:
    ● automated search for hyper-parameters,
    ● digital electronics or FPGA programming.

    In order to work in a small startup such as LightOn, you will also need to creative and pragmatic, have some team spirit and some good communication skills.

    CONDITIONS This position is for a full-time employment, that can start as soon as a possible. Salary will based on technical skills and experience. The candidate must have the right to work in the EU. We cannot pay for relocation costs.

    CONTACT
    To respond to this offer, please send an e-mail to jobs [ chez ] LightOn.io with [ML Engineer] in the subject line. Please attach a resume and cover letter both in PDF.

    THE COMPANY Founded in 2016, LightOn (www.LightOn.io) is a technology start-up that develops a new generation of optical co-processors designed to accelerate the low power Artificial Intelligence algorithms for massive amounts of data. The technology developed by LightOn originates from the ESPCI and Ecole Normale Supérieure laboratories. LightOn won in 2016 the best Digital Tech startup from the City of Paris. We are located in the center of Paris within the Agoranov incubator.


    Offre d'emploi CDI
    Ingénieur de recherche en Machine Learning (H/F)

    MISSION
    Vous souhaitez contribuer au développement d'une entreprise en pleine croissance en vous impliquant dans des projets à la pointe de l'innovation à l’interface entre l’optique et l’intelligence artificielle ? LightOn recherche un(e) ingénieur de recherche / docteur spécialisé(e) en Apprentissage Statistique (Machine Learning / Data Science) pour développer nos nouveaux co-processeurs optiques pour l’intelligence artificielle. Au sein d’une équipe de R D, sous l’autorité du directeur technique, vos principales missions sont de :
    • Définir et concevoir des algorithmes d’apprentissage statistique tirant avantage des processeurs LightOn,
    • Définir et réaliser les moyens de test des algorithmes sur les prototypes, de façon opérationnelle,
    • Gérer les partenaires industriels (rédaction des spécifications, suivi technique, planning et qualité),
    • Définir, maîtriser et fiabiliser les interfaces utilisateurs, en fonction d’usages spécifiques,
    • Interagir avec les développeurs de la couche logicielle pour un accès réseau (API),
    • Interfacer avec l’équipe développant les prototypes expérimentaux,
    • Réaliser des activités de prototypage, de test et d'optimisation en lien avec le reste de l’équipe.

    ENTREPRISE LightOn (www.LightOn.io), créée en 2016, est une start-up technologique qui développe une nouvelle technologie de co-processeurs optiques, conçus pour accélérer les algorithmes d'Intelligence Artificielle sur de très grandes masses de données, à moindre consommation énergétique. La technologie développée par LightOn est issue des laboratoires de l'ESPCI et de l'Ecole Normale Supérieure. LightOn a remporté en 2016 le Grand Prix de l’Innovation de la ville de Paris, dans la catégorie Technologies Numériques. Nos locaux sont situés au sein de l’incubateur Agoranov, 96bis Bd Raspail 75006 Paris.

    CONDITIONS Emploi en CDI. Début dès que possible. Rémunération selon profil et expérience.

    PROFIL RECHERCHE
    Ingénieur ou Master en Machine Learning / Data Science. Un doctorat ou une expérience industrielle serait un plus.

    Compétences techniques nécessaires :
    • Connaissance théorique et pratique de l’Apprentissage supervisé (par exemple Réseaux de Neurones Profonds) ou non supervisé.
    • Gestion de très grands volumes de données, techniques de réduction dimensionnelle,
    • Programmation scientifique (Python, C++, Matlab,...).
    • Utilisation d’un ou plusieurs framework(s) de Machine Learning (Scikit-learn, TensorFlow, Keras, etc).

    Les plus
    Un intérêt marqué pour un ou plusieurs des thèmes suivants : recherche automatisée d’hyper-paramètres, projections aléatoires, traitement du signal, électronique numérique, programmation sur FPGA.

    Etat d’esprit
    Esprit d’initiative, créativité, pragmatisme, rigueur, dynamisme et autonomie. Esprit d’équipe et bonne communication (anglais courant), attrait pour les startups. Le candidat doit être autorisé à travailler dans un pays de l’UE.

    CONTACT
    Pour répondre à cette offre, merci d’envoyer un e-mail à jobs [ chez ] LightOn.io avec [ingénieur ML] dans le titre, en joignant un CV et en présentant vos motivations.

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  • Geo-Sci-Info

    bandeauEntropy2018-1.jpg

    OFFICIAL WEBSITE

    FLYER-PDF - Entropy 2018 conference

    Welcome from the Conference Chair

    One of the most frequently used scientific words, is the word “Entropy”. The reason is that it is related to two main scientific domains: physics and information theory. Its origin goes back to the start of physics (thermodynamics), but since Shannon, it has become related to information theory. This conference is an opportunity to bring researchers of these two communities together and create a synergy. The main topics and sessions of the conference cover:

    • Physics: classical Thermodynamics and Quantum
    • Statistical physics and Bayesian computation
    • Geometrical science of information, topology and metrics
    • Maximum entropy principle and inference
    • Kullback and Bayes or information theory and Bayesian inference
    • Entropy in action (applications)

    The inter-disciplinary nature of contributions from both theoretical and applied perspectives are very welcome, including papers addressing conceptual and methodological developments, as well as new applications of entropy and information theory.

    All accepted papers will be published in the proceedings of the conference. A selection of invited and contributed talks presented during the conference will be invited to submit an extended version of their paper for a special issue of the Journal Entropy.

    Conference Chair

    • Prof. Dr. Ali Mohammad-Djafari : Research Director at CNRS, L2S, CentraleSupélec, Univ. Paris Saclay, Gif-sur-Yvette, France Ali.png

    Local Chair

    • Prof. Dr. J. Miguel Rubi: Department of Condensed Matter Physics at the University of Barcelona, Spain JM_Rubi .png

    Scientific Advisory Committee Members

    Confirmed Speakers

    Conference Secretariat

    Dr. Lucia Russo
    Ms. Yuejiao Hu
    Mr. Matthias Burkhalter
    E-mail: entropy2018 [at] mdpi.com
    Tel. +34 936397662

    Sponsoring Opportunities

    For information regarding sponsoring opportunities, please contact Mr. Antonio Peteira.
    E-Mail: antonio.peteira [at] mdpi.com
    Tel. +34 936397662

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  • Geo-Sci-Info

    We are writing to inform you about “JSPS Postdoctoral Fellowships Short Term” (fellowship periods and periods for arrival in Japan: from 1st Oct. 2017 to 30th March 2018).

    This program is open for applications at CNRS. The deadline is 6th April 2017.

    For more information, please visit the following URL.

    [CNRS website]

    http://www.cnrs.fr/derci/IMG/pdf/bourses_jsps_postdoctoral_fellowships.pdf

    Please spread the information to people interested.

    We kindly ask for your cooperation.

    Sincerely,

    JSPS Strasbourg Office

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  • Geo-Sci-Info

    Proposition of postdoc in statistics and modelisation, in chalmers, Sweeden, deadline 30th of april 2017.
    All informations are on the web site:

    http://www.chalmers.se/en/about-chalmers/vacancies/Pages/default.aspx?rmpage=job&rmjob=4950

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  • Geo-Sci-Info

    APPLICATION WEBSITE

    The Alpen-Adria-Universitaet Klagenfurt strives to appoint a greater number of qualified women to professorships.

    The Department of Statistics at the Faculty of Technical Sciences of the Alpen-Adria-Universitaet Klagenfurt seeks to appoint a

    Professor of Stochastic Processes

    in accordance with § 99 of the Austrian Universities Act. This is a full-time position, commencing at the earliest opportunity with a fixed term not exceeding 5 years.

    The Alpen-Adria-Universitaet Klagenfurt is a young, vibrant and innovative university with more than 10,000 students and it forms a gateway between Mediterranean and Alpine cultures, situated in a region with an exceptionally high quality of life. As public university pursuant to § 6 of the Universities Act, the university receives federal funding. The university operates under the motto “Beyond Boundaries!”.

    In accordance with its key strategic road map, the Development Plan, the university's primary guiding principles and objectives include the pursuit of scientific excellence in relation to the appointment of professors, favourable research conditions, a good faculty-student ratio, and the promotion of the development of young scientists.

    At the time of the faculty’s launch in 2007, the existing departments in this field were grouped together to form the Faculty of Technical Sciences. As a result of synergies, the faculty has since expanded to encompass the three specialist fields of computer science, information and communications technology, and mathematics, and is currently endowed with a total of 23 professorships and 16 associated professorships (see www.uni-klu.ac.at/tewi).

    We are looking for a highly qualified and internationally recognized scientist who is capable of representing the subject in teaching and research, with high engagement in developing and sustaining an ambitious and innovative research program.

    The focus of the new position shall be directed at the principles of Probability Theory as well as specific areas of application of Stochastic processes, the latter with a preference for one or more of the fields of modern computer science, information processing, and communication technology (image and signal processing, financial data engineering, actuator and sensor technology, and mobile communication networks, etc.).

    The duties of the position include:

    Representing the academic field of „Probability Theory“ as a whole through research and teaching, with a focus on at least one of the following areas: “Markov decision processes”, Stochastic finance”, „Stochastic calculus“, „Stochastic numerical analysis“, or „Stochastic networks“, and applications thereof
    Active co-responsible participation in the degree program “Technische Mathematik” at Bachelor and Master level, as well as in other relevant degree programs
    Advising and mentoring of students
    Promotion and qualification of junior academic colleagues
    Planning, acquisition and management of competitive third-party funded research projects (proposal-based research)
    Contribution to public relations activities of department and faculty
    Participation in academic self-governance and university management

    Prerequisites:

    Habilitation or equivalent qualification in mathematics/statistics
    Excellent research and publication record in the areas relevant to the duties of the position
    Proven university teaching record and proficiency in higher education didactics
    Experience in the supervision of academic theses at all graduation levels
    Experience in the acquisition, implementation and management of research projects with third-party funding
    Competence in the organisation and leadership of teams

    The candidate is expected to

    teach the courses „Stochastics I and II“ within the bachelor degree program „Technische Mathematik“ in German, and courses within the master degree program „Technische Mathematik“ (in particular, the courses „Stochastic Processes I and II“) in English,
    participate in shaping the profile of the Department of Statistics and cooperate with the Department of Mathematics; closely connect to the existing core areas of both departments (applied statistics, dynamic systems, system identification and discrete mathematics) and support the joint doctorate program „Modeling, Simulation, Optimization“,
    develop interdisciplinary cooperation efforts within the faculty’s core areas of „Modeling, Simulation, Control and Optimization of Complex Systems“ and „Self-organizing Embedded Systems“,
    set up trans-disciplinary national and international cooperation projects as well as cooperation arrangements with industry and business administration partners.

    Additional assets:

    Solid experience in the international research arena
    Capability to undertake interdisciplinary cooperation efforts
    Competence in gender mainstreaming and diversity management

    The remit of the professorship requires that the future professor shall establish Klagenfurt as her/his primary work location.

    The position does not include any commitment to additional positions for centrally financed co-workers, with the exception of student assistants.

    Empirical studies have revealed that women tend to submit an application when they meet close to 100 % of the criteria, whereas men are likely to apply as soon as they meet approximately 60 % of the criteria. The university is committed to increasing the number of women among the academic staff, particularly in high-level positions, and therefore specifically invites applications from qualified women. Among equally qualified candidates, women will receive preferential consideration.

    People with disabilities or chronic diseases who meet the qualification criteria are explicitly invited to apply.

    The salary will be individually negotiated. The minimum gross salary for a position at this level (Salary group A1 for University Staff / Kollektivvertrag für die Arbeitnehmer/innen der Universitaeten) is currently € 68.500 per year.

    As of late, in accordance with the Austrian Income Tax Act, an attractive relocation tax allowance can be granted for the first five years in the case of appointments to professorships in Austria. The prerequisites are subject to examination on a case by case basis.

    Please submit your application by e-mail, consisting of a mandatory principal part not exceeding five pages (for more detailed information please refer to www.aau.at/jobs), an exhaustive list of publications and lectures and of all courses taught in the last five years, as well as any supplementary documents where applicable (e.g. course evaluations), to the Alpen-Adria-Universitaet Klagenfurt, Office of the Senate, f.a.o. Ms. Sabine Tomicich (sabine.tomicich [at] aau.at) no later than 23rdApril 2017. Submission of the mandatory principal part mentioned above constitutes a necessary condition for the validity of your application.

    For general information please refer to the information leaflet provided at www.aau.at/jobs/information, for specific information about the position please contact Assoc. Prof. Dr. Manfred Borovcnik (Tel.: +43 463 2700 3116; Manfred.Borovcnik [at] aau.at).

    We regret that the Alpen-Adria-Universitaet Klagenfurt cannot reimburse applicants’ travel and lodging expenses incurred as part of the selection and/or hiring process.

    We regret that the Alpen-Adria-Universitaet Klagenfurt cannot reimburse applicants’ travel and lodging expenses incurred as part of the selection and/or hiring process.

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