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University of Copenhagen (UCPH); Copenhagen, Zealand, Denmark

Deadline: October 17, 2021 | Published: September 27, 2021   16:57

Duties: We are looking for candidates who can broaden our existing activities in analysis, geometry, number theory, operator algebras, and topology. All applications are welcome. In particular, candidates in areas such as geometric group theory, geometric representation theory, and non-commutative geometry are encouraged to apply
Requirements: Applicants for a tenure-track assistant professorship must have an academic standing showing internationally competitive research, have an internationally recognized potential for outstanding research achievements, and have strong teaching credentials

Norwegian University of Science and Technology (NTNU); Trondheim, Sør-Trøndelag, Norway

Deadline: October 21, 2021 | Published: September 27, 2021   16:53

Duties: The postdoc researcher will be a member of the NorwAI project team. The task of the postdoc is to develop frameworks and scalable techniques for supporting streaming data analysis. The actual research problems to work on will depend on the candidate’s background, and research from either an algorithmic, machine learning, or information retrieval perspective is of interest
Requirements: You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD; You must have relevant research background in data mining, databases, algorithms, information retrieval, or machine learning; Publications in top venue scientific conferences or journals

Queen's University Belfast (QUB); Belfast, Northern Ireland, United Kingdom

Deadline: October 7, 2021 | Published: September 27, 2021   16:50

Duties: The School of Medicine, Dentistry and Biomedical Sciences is currently seeking to appoint an exceptional candidate to the post of Lecturer in Bioinformatics to undertake research in the Patrick G Johnston Centre for Cancer Research and the School of Medicine, Dentistry and Biomedical Sciences at Queen’s University Belfast (QUB). The successful candidate will develop a bioinformatics research theme in line with the School/Centre’s research strategies, teach at undergraduate and postgraduate level and contribute to the School’s administration/outreach activity
Requirements: Primary or higher degree in a life sciences, mathematics, programming or a cognate subject; PhD in a biomedical science, biology, or a related discipline to bioinformatics; A minimum of three years’ recent experience in discipline(s) related to bioinformatics; Experience of use of the R statistical environment; python or similar higher-level scripting/programming techniques; Recent, relevant publications in peer reviewed/refereed journals that are high quality and are commensurate with stage of career; Experience of working in collaborative research projects

University of Southampton (Soton); Southampton, Hampshire, United Kingdom

Deadline: October 19, 2021 | Published: September 27, 2021   16:46

Duties: Develop new mathematical methods for sensitivity analysis, Implement computationally efficient numerical methods suitable for large-scale flow simulation and Validate the approach by designing novel structured surfaces for wall-bounded flows. In addition, you will take part in collaborative work with the project partners, take part in and contribute to the research group's activities, publish new findings in peer-reviewed literature and disseminate results at national and international conferences. There will also be an opportunity to gain experience in teaching and student supervision
Requirements: To be successful, you must have a PhD or equivalent professional qualification in Fluid Mechanics, Applied Maths, Computational Sciences or a related subject. In addition, you should demonstrate expertise in developing mathematical/computational methods for analysis, modelling or simulation of fluid flows. It is essential you have good analytical skills. Proficiency in computing and/or numerical simulation of fluid flows is highly desirable

Vlaams Instituut voor Biotechnologie (VIB); Ghent, Flanders, Belgium

Published: September 27, 2021   16:43

Duties: The lab of Jeroen Raes (VIB, KU Leuven) is looking for a postdoctoral researcher in the computational analysis of microbiome data, with a particular emphasis on human-associated microbial communities in health and disease. Projects will focus on: (i) bioinformatics/statistics method development for joint host and microbiota data analysis, multi-omics and clinical data integration and/or; (ii) their application to large scale datasets generated within the Flemish Gut Flora project cohort (n>5000), in a wide range of disease cohorts as well as in international projects (e.g FP7 MetaCardis, H2020 AD-Gut)
Requirements: PhD in bioinformatics, computational biology, datamining, biostatistics, population and/or statistical genetics, human microbiota, numerical/microbial ecology or equivalent; Good programming skills (perl/python/ruby/java/C++ etc, SQL, R), proficiency in Unix/Linux and cluster experience; A strong track record in omics data analysis (e.g. (meta)genomics, transcriptomics, proteomics, metabolomics, epigenomics, genotyping data) is a plus; Experience in clinical datamining/machine learning, biomarker detection is a plus

Pfizer Inc.; Dublin, Ireland

Published: September 27, 2021   16:40

Duties: Act as a cybersecurity analytics subject matter expert to teams across EP&S and Pfizer and leverage analytic capabilities to help solve specific business problems; Establish and enhance cybersecurity analytics reporting capabilities for use by GIS to detect and respond to security-related events; Participate in recurring meetings that review emerging threats and identify opportunities to leverage advanced analytic capabilities to improve detection across the organization; Proactively identify emerging data sources that improve detection capabilities and work with the cybersecurity analytics data management team to enable data collection; Assemble data from multiple security tools for deeper threat insights using advanced analytics; Prioritize future data collection requirements based on the value of detecting a particular situation, availability of required data source(s) and related data retention costs, and the ability eliminate false positive detections
Requirements: BS in Computer Science, Mathematics, Physics or Chemistry or related discipline; MS in Data Science or Quantitative Analysis preferred; Superior analytical and creative problem-solving skills; Demonstrated successes in analysis, conclusions, and improvement; Flexible to changing priorities and comfortable in a fast-passed dynamic environment; Strong problem-solving abilities with an analytic and qualitative eye for reasoning under pressure; Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision

Katholieke Universiteit Leuven (KU Leuven); Leuven, Flanders, Belgium

Deadline: October 15, 2021 | Published: September 27, 2021   16:36

Duties: You will be involved in the analysis and data management of single-cell (sc)RNAseq and scATACseq data from various ongoing academic and industrial projects, including the VIB Grand Challenge project POINTILLISM ( You will also be developing your own project(s) on the interpretation and analyses of spatial multi-omics (transcriptomics, proteomics and metabolomics) datasets. Good communication skills and a collaborative spirit will be required to integrate our research team, which includes a technical staff, graduate and PhD students and postdocs
Requirements: PhD with a topic in one of the following areas: statistics, bioinformatics or computational biology in a field of (cancer) immunology, molecular biology or similar; A broad bioinformatics experience with a good working knowledge in genomics and transcriptomics/pathway biology/(cancer) immunology and deep scientific expertise in next generation sequencing technologies and (statistical) data analysis. Experience in single-cell sequencing and an interest in spatial transcriptomics and proteomics data analysis is mandatory; Working proficiency in popular programming languages such as R or Python; Fluency in analysis of large datasets and Linux-based high-performance computing environments; A proven and successful publication track record in this field

University College London (UCL); London, United Kingdom

Deadline: October 15, 2021 | Published: September 27, 2021   15:28

Department: Medical Physics and Biomedical Engineering - Photoacoustic Imaging Group
Workload: 100%
Duties: Applications are invited for a research fellow position to work on the development of a near infrared and shortwave infrared fluorescence imaging scanner applied to cancer. The scanner will be used to image antibody-conjugated dyes to improve the accuracy of fluorescence-guided surgery of paediatric solid cancer. The goal is to translate the findings to a human clinical trial and the job maybe extended accordingly subject to further funding. The scanner will be combined with an all-optical photoacoustic imaging scanner to create a dual modality intraoperative imaging system to better detect cancer cells that remain during surgical removal and to improve the visualisation of vital organs and vessels
Requirements: An engineer or physicist with strong applied optical engineering skills is sought. Candidates must have a PhD in a relevant subject or equivalent qualifications and/or work experience. Practical experience in the development of fluorescence spectroscopy or fluorescence imaging systems for biomedical applications is essential. The project is funded by a Wellcome Trust Innovator Award (PI: Mr Stefano Giuliani) and it will be carried out in collaboration with research groups at the UCL Great Ormond Street (GOS) Institute of Child Health, the Institute of Cancer Research (Marsden), and the Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS) at UCL; Therefore, enthusiasm in the project, good inter-personal skills and experience of interdisciplinary working are essential. Knowledge of, or a wider interest in, Biomedical optics or Photoacoustics, is advantageous but not essential

University College London (UCL); London, United Kingdom

Deadline: October 22, 2021 | Published: September 27, 2021   15:26

Department: Division of Psychology and Language Science
Workload: 100%
Duties: In this new study, we will develop a novel preventative intervention, delivered in the school setting, which integrates targeted training in emotional processing with group interpersonal therapy (IPT) that addresses young people’s social relationships. Given the rapid rise in mental health difficulties that occurs in early to mid-adolescence, the study focuses on ages 13-14 years (school years 8 and 9), which represent an ideal phase for effective prevention. This new hybrid intervention will be created through an interdisciplinary partnership between young people, teachers, psychologists, sociologists, parents, clinicians, statisticians, digital health experts and performing artists
Requirements: We are looking for an individual with excellent skills in multivariate statistics and scientific writing. The ideal candidate will also have experience in conducting research with young people and have experience in longitudinal mental health/social relationships research and/or intervention studies. Experience in social network analyses would be an advantage but is not an absolute requirement for the job. The applicant also needs to possess good interpersonal skills for communicating with the wider project team

University College London (UCL); London, United Kingdom

Deadline: October 12, 2021 | Published: September 27, 2021   15:23

Department: Institute of Ophthalmology
Workload: 100%
Duties: This exciting position is based at the Institute of Ophthalmology, a world leading research institute focusing on vision and diseases of the eye, working with UCL’s Research Software Development Group in the Centre for Advanced Research Computing (ARC), a large and innovative group of research software engineers. You will lead on the further development of software tools and models of the metabolism of the back of the eye, with application to understanding (and treating) the effects of aging on vision. This will include rapidly assimilating knowledge of the underlying research disciplines, contributing to publications and future grant applications, and crafting sustainable, reusable software
Requirements: A strong candidate will hold a PhD or equivalent and have substantial experience in the development and coding of computational models, ideally in the context of biological systems. The existing code base to be developed is in Matlab and experience of Matlab is beneficial. It is likely that, moving forward, code will be developed in Julia. Experience of Python and/or Julia would thus be an advantage as would understanding of any relevant area of biology or physics. This would include reaction kinetics, thermodynamics, diffusion, metabolism and metabolic networks, etc. It is also expected that the post-holder will have a solid foundation in mathematics. Whilst an appreciation of the eye and vision would be helpful it is by no means required

University College London (UCL); London, United Kingdom

Deadline: October 13, 2021 | Published: September 27, 2021   15:22

Department: Institute of Health Informatics
Workload: 100%
Duties: Conducting analysis mainly using population level data from the BHF Data Science Centre Covid Impact project led through HDR-UK but also working with other Electronic Health Record data (Primary care data including The Health Improvement Network (THIN) and Clinical Practice Research Data (CPRD), Hospital Even Statistics (HES) and Office for National Statistics (ONS) from the CALIBER resource); Contributing as a author on a number of high impact peer-reviewed research publications in general readership clinical, genetic or science journals; Preparing for weekly in-house meetings, and national and international conferences; Representing the group at fortnightly BHF Data Science Consortium meetings and other relevant schedule calls; Contributing to the development of grant applications and manuscripts in collaboration with others in the Institute
Requirements: You have the knowledge of epidemiological and statistical methods such as Cox Proportional hazards models, trial emulation, Mendelian randomization and a good understanding of the complexities of manipulating large datatsets; You have a MSc in statistics/epidemiology/computer science/health data science/other relevant discipline or a similar level of experience; You have excellent skills in at least one statistical software package (e.g. R, STATA)

University College London (UCL); London, United Kingdom

Deadline: November 18, 2021 | Published: September 27, 2021   15:21

Department: Chemical Engineering
Duties: Develop a programme of original research and produce publications, as well as other research outputs, in the broad area of manufacturing related engineering; Deliver multidisciplinary research and teaching activities that support UCL priorities; Secure research grant funding in accordance with UCL Financial Regulations and the conditions of funding bodies; Recruit, manage and lead researchers; Ensure that research outputs are recorded, analysed and written up in a timely fashion and to deadlines; Report to funding bodies and others as needed; Submit papers to relevant journals and present at relevant conferences; Lead and assist with curriculum development, including learning materials and schemes of work; Keep accurate student records on progress, achievement and attendance; Teach at undergraduate and postgraduate level, including laboratory supervision, lectures and tutorials
Requirements: Lead on the development of research promoting a holistic approach to manufacturing engineering related to functional materials/chemicals/pharmaceuticals manufacturing and/or high throughput materials chemistry, and/or data science/applied statistics/machine learning/automation/digital twins/model-based design of experiments, and/or process systems engineering; Carry out and publish high-quality world-class research which complements the existing departmental and Faculty activities, and secure research grant funding to support your research programme; Support research staff and PhD students; Contribute to teaching existing or new taught modules in the areas relevant to the post

Zürcher Hochschule für Angewandte Wissenschaften (ZHAW); Winterthur, Zürich, Switzerland

Published: September 27, 2021   15:15

Workload: 70%
Duties: Creative, independent an high-quality aR&D at the crooss section between numerical simulation, cloud computing and ANN technoloogy; Development of ANNs to (partially) take oover the functionality of advanced numerical simulation software; Develop and apply Invertible Neural Networks (INNs) to solve forward and inverse problems correlating numerically predicted physical properties of porous media to material parameters; Establish cloud-computing-based workflow to allow users to train their own ANNs/INNs by creating simulation data online; Develop solutions for software based integration of numerical simulation tools and ANN technoloogy into a high yield cloud platform; Interpret experimental results and simulated results regarding physical properties of porous media
Requirements: Master Degree in Engineering Sciences, Software Development, Mathematics or Physics; Knowledge about and application experience concerning Artificial Intelligence Software is a must; Knowledge about and application experience concerning Numerical Simulation Software is a bonus, where knowledge of OpenFOAM is counted as big bonus; Knowledge about and application experience concerning Cloud Technology is a bonus; Advanced skills in software development are a big bonus; Drive to quickly move R&D results to application; High committment towards excellency; 100% fluency in written and oral English is a must, skills in German are a bonus; Good in presenting; Willingness to spend 12-14 weeks (= one lecture semester) at partner University (UiT Arctic University of Norway), if need be; Duties: Self-efficient, high-quality R&D in the cited fields; Regular presentation of advances to development partners from industry and colleagues in academia, at scientific conferences and regular (onli...

University of Luxembourg; Luxembourg City, Luxembourg

Deadline: October 15, 2021 | Published: September 27, 2021   15:13

Duties: The successful candidate is expected to assume a leading role in defining, acquiring, managing, and scientifically contributing to projects in the areas covered by the SerVal group, and more specifically IoT and AI-based Decision Support (DSS) systems, whose underlying theories and techniques span from multi-objective optimization and multi-attribute decision making, uncertainty modelling, Machine Learning (ML), and input data span from real-time IoT sensor data, expert knowledge and expectation. The candidate will be involved in the development of innovative DSS as part of ongoing research collaborations involving various companies
Requirements: PhD in Computer Science or equivalent with at least 3 years of experience after the thesis; At least 3 years of postdoctoral research experience in a relevant research area; Familiar with at least one area mentioned: Smart grid (incl., optimization problems in renewable energy systems), Industry 4.0; Knowledgeable on multi-criteria decision making/recommendation systems. Being familiar with IoT technologies (blockchain, web service interoperability…) is a plus, as well as the mastering of uncertainty modelling/theories; Excellent publication record in top-tier conferences and journals; Track record in carrying a leading role in research project acquisition at the National, EU and International levels; An experience in or with industry is required; Fluent written and verbal communication skills in English are mandatory

Universität Basel; Basel, Switzerland

Published: September 27, 2021   15:01

Workload: 50-100%
Duties: The Nash Lab invites applications for a research assistant position in the area of data science applied to molecular bioengineering. The successful candidate will be responsible for the development of software tools and bioinformatic workflows to assist in the analysis, visualization and interpretation of large-scale DNA sequencing and protein structural data to unveil sequence-structure-function relationships in complex artificial proteins
Requirements: Candidates should have a strong technical background in scientific computing, data science, or analysis of big data with a completed BSc or MSc degree (or equivalent) in a relevant field. The position will suit someone with an interest in software engineering, big data, and statistical learning. Experience and knowledge of biological systems or protein engineering methodology is a plus. Proficiency in written and spoken English is required. We encourage applications from curious, driven and hard-working personalities with strong social skills and team spirit

Universität Basel; Basel, Switzerland

Published: September 27, 2021   15:01

Workload: 50-100%
Duties: The successful candidate will analyze high throughput data from next-generation sequencing (including bulk and single-cell experiments) and proteomics. You will work in close collaboration with the DBM Bioinformatics Core Facility
Requirements: Highly motivated and creative; Master-, or PhD degree in quantitative field such as computational biology, physics or mathematics with strong interest in biology; Proven experience in analysis of NGS data; Sound statistical knowledge and fluent programming skills in R/Bioconductor are required; Fluent in English (speaking and writing)

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

Deadline: October 12, 2021 | Published: September 27, 2021   14:43

Duration: 3 y
Duties: Our aim is development of robust, efficient techniques suited for humans and large animals. Your tasks include analysis and experimentation with respect to MRI sequence choices and validation. Simultaneously, you will advance your scientific career by learning and developing new techniques and publishing the results
Requirements: You must 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. A background with aspects of machine learning, MRI development and/or analysis is preferred. Experience with hyperpolarized MRI is advantageous. MR sequence development and testing will be conducted using both general and vendor-specific scanner programming environments. Prior experience with such tools is not essential, but advantageous

Silicon Austria Labs GmbH (SAL); Villach, Austria

Published: September 27, 2021   14:28

Duties: Development of and support with theoretical topics, analytical modelling, numerical simulations, data analysis and programming for various applications with sensing and actuating MEMS technologies (mostly focusing on acoustic, structural mechanics, and fluids in theoretical physics and applied mathematics; One specific focus is the development of custom, special purpose simulation for aeroacoustics and ultrasonic transducer developments; Development of computational algorithms and simulations of airframe noise; Industry project support with FEM simulation with ANSYS or COMSOL; Project management
Requirements: PhD degree in aerospace engineering, acoustics, mechanical engineering, or a closely aligned field; At least 4 years of experience in Research & Development in the research areas: theoretical, computational, and experimental aeroacoustics, including all topics that address the generation, propagation, and control of aerospace vehicle noise, as well as the effect of noise on structures and individuals; Experience in aeroacoustics measurements based on microphone arrays, especially wall pressure measurements in wind tunnels and flight tests; Knowledge of MEMS sensors, such as MEMS microphones, MEMS-based pressure and shear stress sensors; Must have experience with analytical and numerical methods beyond the use of standard FE tools; Experience in project acquisition and customer communication; Fluent in English

International Institute for Applied Systems Analysis (IIASA); Laxenburg, Wien, Austria

Deadline: October 6, 2021 | Published: September 27, 2021   14:10

Duties: A research intern who is knowledgeable in integrated assessment modeling and climate scenarios, and who has experience with downscaling algorithms
Requirements: A Bachelor's degree (or equivalent) in science; Some prior experience in uncertainty and sensitivity analysis; Skills in dynamic data visualization; Experience with version control and GitHub-Workflow

European Organization for Nuclear Research (CERN); Genève, Switzerland

Published: September 27, 2021   13:49

Duties: Welcome to the Junior Fellowship Programme! This Programme is aimed at graduates from universities or higher technical institutes in a wide range of applied sciences, computing and engineering with limited or no work experience, looking to work in a research group
Requirements: In order to qualify for a place on the programme you will need to meet the following requirements: You are a national of a CERN Member or Associate Member State; You have graduated, or are about to graduate (within six months from the date of the committee), with a university degree (BSc or MSc level) and have no more than 4 years’ relevant experience after obtaining your degree. Kindly note that experience prior to the latest obtained degree will not be taken into account for the calculation of your overall years of experience; Please note that CERN Staff members are not eligible to apply for a Fellowship

European Organization for Nuclear Research (CERN); Genève, Switzerland

Published: September 27, 2021   13:47

Duties: Welcome to the Senior Fellowship Programme! This Programme is aimed at graduates from universities or higher technical institutes in a wide range of applied sciences, computing and engineering with between 4 and 10 years’ experience. Senior Fellowships are intended for MSc or PhD graduates looking to work in a research group
Requirements: In order to qualify for a place on the programme you will need to meet the following requirements: You are a national of a CERN Member or Associate Member State. A limited number of positions are also available to candidates from Non-Member States; You have a PhD, or at least 4 years’ relevant experience since the completion of your MSc (or the equivalent diploma which gives access to doctoral programmes), and in both cases a maximum limit of 10 years’ experience after completion of your MSc; Please note that CERN Staff members are not eligible to apply for a Fellowship

European Organization for Nuclear Research (CERN); Genève, Switzerland

Published: September 27, 2021   13:45

Duties: Welcome to the Post Career Break Fellowship Programme! Have you taken time out for personal reasons from your career in science or engineering? Would you be interested in returning to a scientific career if you could? CERN has launched a programme to offer full-time or part-time Fellowships to science and engineering graduates looking for a way back into science. This is an outstanding chance for you to update your knowledge and skills working for up to three years in an international environment at the forefront of research
Requirements: In order to qualify for a place on the programme you will need to meet the following requirements: You have been on a career break for personal reasons (for example for family or caring responsibilities, health issues) for at least two years. Please note that periods of unemployment or a change in field from your studies or in the direction of your career are not considered a “career break” within the spirit of our programme; You have either a “Senior Fellow” profile, with a MSc level diploma or PhD and between 4 and 10 years’ relevant experience after completion of your MSc. If you are applying in the fields of experimental or theoretical physics, you must hold a PhD (or be about to finish your thesis); Alternatively, you have a “Junior Fellow” profile, with a BSc or technical engineer diploma and no more than 4 years’ relevant experience, and you are a national of a CERN Member or Associate Member State; Please note that candidates who are registered as CERN Users may...

Eidgenössisches Nuklearsicherheitsinspektorat (ENSI); Brugg, Aargau, Switzerland

Published: September 27, 2021   13:42

Duties: Beurteilung von radiologischen Störfallanalysen der Kernanlagenbetreiber; Mitwirkung bei der Weiterentwicklung der Notfallschutzplanung und -bereitschaft des ENSI und der Kernanlagenbetreiber; Einsatz und Unterhalt der beim ENSI operationellen Systeme zur Modellierung der Ausbreitung von radioaktiven Stoffen in der Umgebung; Verfassen von Beurteilungen, Stellungnahmen und Gutachten; Mitarbeit in nationalen und internationalen Fachgremien; Verfolgen des Standes von Wissenschaft und Technik in den Aufgabengebieten
Requirements: Universitäts- oder Hochschulabschluss in Natur- oder Ingenieurwissenschaften (Master oder Doktorat); Konkrete Erfahrungen in der Kernkraftwerkstechnik, Kenntnisse im Bereich Störfallszenarien und Strahlenschutz sind von Vorteil; stilsicheres Deutsch in Wort und Schrift sowie sehr gute Englischkenntnisse, idealerweise auch Französischkenntnisse; verantwortungsbewusste, belastbare und einsatzbereite Persönlichkeit mit ausgeprägten analytischen Fähigkeiten; selbstständige, ziel- und lösungsorientierte Arbeitsweise und hohe Entwicklungsbereitschaft; kooperativ und teamorientiert

Continentale Krankenversicherung a.G.; München, Germany

Published: September 27, 2021   13:35

Duties: Spezifikation und Durchführung von Abnahmetests unserer Angebotssysteme und der zugehörigen Schnittstellen sowie Dokumentation der Ergebnisse; Pflege und Weiterentwicklung der bestehenden Tools und Testskripte zur automatischen Testdurchführung; Kontinuierliche, entwicklungsbegleitende Qualitätssicherung und die Steigerung des Automatisierungsgrades der Testabläufe; Enge Zusammenarbeit mit unseren Entwicklern; Übernahme von Teilprojektleitungen für das Thema „Testing“ in Digitalisierungsprojekten; Releasemanagement für die Vertriebsunterstützungssysteme und den zugehörigen Schnittstellen
Requirements: Erfolgreich abgeschlossenes Studium einer technischen oder mathematischen Fachrichtung oder eine vergleichbare Ausbildung; Fundierte informationstechnische Kenntnisse; Berufserfahrung im Bereich der Lebensversicherung von Vorteil; Kenntnisse in den Bereichen Web Services und XML-Verarbeitung sowie Programmiererfahrung mit einer Skript-/Programmiersprache sowie erste Erfahrungen mit UI-Tools wünschenswert; Praktische Erfahrungen in der Testplanung und Testdurchführung; Kommunikations- und Teamfähigkeit sowie Kreativität am Arbeitsplatz und eine konzeptionelle und analytische Denkweise

Austrian Institute of Technology GmbH (AIT); Wien, Austria

Published: September 27, 2021   13:25

Duties: As a member of our highly multidisciplinary team you will develop modules for vehicle and machine automation in particular sensor data analysis and fusion (camera, laser, radar, odometry, GNSS, etc.), localization & mapping as well as testing and validation; You will participate in the development of machine learning systems for object detection, classification, pose estimation and understanding of scenes; You take into account latest research results and requirements of industrial partners
Requirements: A university degree in computer sciences, electrical or mechatronics engineering or a comparable technical field; Very good programming skills (C, Python) and knowledge of current development and integration toolchains; Linux and embedded systems know-how; experience with ROS; GPU programming and experience with computer vision (especially machine learning methods) would be beneficial; Expertise in Software Engineering practices; Willingness to learn and work in a highly interdisciplinary field; Strong communication skills; Proficiency in English; proficiency in German is advantageous but no requir.ement

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