Aufgaben: Assisting in the development of all the research activities in a predefined topic and producing results; Providing support in setting-up and running experiments; Proposing and implementing real-time solutions; Participating in organizing relevant workshops and demonstrations; Assist on the laboratory setup preparation and experiment configuration
Anforderungen: A bachelor degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Extensive experience working in different industrial domains; Experience working with cross-functional teams of data scientists, user researchers, product managers, designers, and engineers; Experience managing data and AI programs for schools; Strong background in image/signal processing and in particular; Performed analysis on large sets of data to extract impactful insights; Strong programming skills in Python/C/C++

Aufgaben: Develop theoretical and methodological framework for the value of travel time estimation considering automated vehicles impacts; Design original best-worst scaling experiments and stated preference choice experiments; design questionnaires and collaborate with LISER’s survey team; Analyze the survey data; Develop models for the adoption of emerging modes using hybrid choice modeling approaches; Collaborate with the project partner at TUM and write academic papers and present the results in national/international conferences
Anforderungen: Ph.D. degree in transport planning/economics/engineering, or other relevant field; Excellent knowledge in discrete choice behavior modeling/travel behavior modeling/stated preference survey design; Good skills and experience in data analysis using statistical software; Excellent communication and collaboration skills; Fluency in English (speaking and writing), any other language is considered as an asset

Pensum: 80-100%
Aufgaben: Sie bearbeiten Projekte innerhalb des Themenbereichs Nachhaltige Ressourcen- und Energienutzung in der Berufs- und Weiterbildung; Auf operativer Ebene entwickeln Sie Einzelprojekte sowie Aktivitäten in der nachhaltigen Berufs- und Weiterbildung und setzen diese in Zusammenarbeit mit Akteuren der Wirtschaft und der Berufsbildung weitgehend selbständig um; Sie konzipieren und verantworten die Durchführung von Veranstaltungen, Workshops und weiteren Bildungsformaten und zeigen sich dabei für die Qualitätssicherung sowie für Kommunikationsaspekte verantwortlich; Sie begleiten Angebote im Bereich Weiterbildung (z.B. Koordination CAS); Bei Eignung und Interesse: Sie bearbeiten weitere Projekte (Wissens- und Technologietransfer, angewandte Forschung und Entwicklung) in den Bereichen Energie, Ressourceneffizienz und ökologische Nachhaltigkeit
Anforderungen: Abgeschlossenes Hochschulstudium im Umwelt- oder Technikbereich, alternativ pädagogisch-didaktischer Hintergrund mit ausgewiesenen Kompetenzen zu Themen der ökologischen Nachhaltigkeit; Schnelle Auffassungsgabe, analytische Vorgehensweise sowie präzise Arbeits- und Ausdrucksweise in Wort und Schrift; Hohe intrinsische Motivation für die Bewältigung von Klima- und Umweltherausforderungen in Gesellschaft, Wirtschaft und Politik; Freude an einem dynamischen und inklusiven Umfeld sowie an interdisziplinären Projektkooperationen; Französische Sprachkenntnisse sind von Vorteil; Idealerweise einige Jahre Berufserfahrung

Aufgaben: The GNSS-R Satellite Earth Observation (GLITTER) project harnesses the power of GNSS-R (Global Navigation Satellite System-Reflectometry) for advanced Earth observation. This technique uses the reflections of GNSS signals off various surfaces - land, sea, and ice - to monitor environmental conditions. Our ambitious goal is to pioneer a new generation of experts capable of making significant advancements in this field through doctoral level education and research. At the heart of GLITTER is the development of a synchronized constellation of CubeSats, offering a cost-effective yet powerful approach to Earth observation. This innovative system allows for enhanced resolution and data accuracy through advanced beamforming techniques. Essential to our methodology are ground-truth data and calibration methods derived from near-field radar technology, which will enable comprehensive research across all facets of GNSS-R technology
Anforderungen: A master’s degree or equivalent in geodesy, geophysics, remote sensing, applied mathematics or physics, computer science, telecommunication engineering with a focus on remote sensing and EO, or similar; Knowledge of remote sensing techniques preferably radar techniques; ideally experience in analyzing GNSS or EO data; Strong programming skills in MATLAB, Python or C++; Highly committed, excellent team-worker, and strong critical thinking; Excellent written and verbal communication skills in English

Aufgaben: This PhD project aims at the development of an improved distributed control of such formations of small satellites, also using a combination of solar and aerodynamic forces for propellant-less control. This will be ideal to deploy, maintain and reconfigure cost-efficiently a large formation of small satellites but requires the detailed modelling of the satellite dynamics, including the effects of aerodynamic forces (caused by the residual atmosphere in LEO) and the solar radiation pressure. After an analysis of optimal formation geometries for Earth observation, suitable orbital guidance and attitude control approaches will be developed and tested, using advanced simulation tools as well as formation flight experiments on a smaller scale with drones. These flight tests will also provide a better understanding of the level of control needed to achieve satisfactory beamforming
Anforderungen: The candidate should possess an MSc degree or equivalent in Control/Aerospace/Electrical Engineering, or related fields in Engineering or Computer Engineering. Solid experience/knowledge in the following areas: Mathematical and Control Engineering, especially related to spacecraft guidance; navigation and control; Modeling and simulation of spacecraft dynamics; Spacecraft formations/swarms; Control of drones and flight experiments as well as knowledge in GNSS would be an asset

Aufgaben: One year appointment teaching all levels of mathematics courses and/or statistics courses. Duties include 12 hours of teaching each Fall and Spring semester totaling 24 hours of teaching per academic year. Courses will be made up of 3 and/or 4 credit hour courses. One year appointment with possible reappointment, pending funding and evaluations
Anforderungen: Candidates should have a Ph.D. in Mathematics or closely related field. Applicants from all areas of mathematics are encouraged to apply

Aufgaben: Post-Doctoral Fellow (A or B) with PhD in Multi-Object Tracking and Robotics
Anforderungen: PhD (or soon to be awarded) or equivalent industry experience in; Robotics; Signal Processing/Control; Path Planning/Trajectory Planning; Multi-Target Tracking/Multi-Object Tracking; Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches; NeRF

Aufgaben: The candidate will work in the research group in space physics focusing on particle precipitation. The group explores how energetic particle precipitation can affect the chemistry and dynamics of the neutral atmosphere in the polar region. Energetic electrons and protons, trapped in the Earth’s magnetic field, can collide with gases in the atmosphere. These collisions initiate several chemical reactions leading to the production of NOx and HOx gases, which in turn can reduce the ozone concentration
Anforderungen: Applicants must hold a master's degree or equivalent education in space physics or atmospheric physics or a related field; Documented good knowledge of and experience in one or more of these areas is a requirement: high latitudinal aeronomy (chemistry and/or dynamics); processes influencing energetic particle precipitation into the atmosphere; statistical methods for handling complex data

Aufgaben: Owning and leading various projects, serving as a subject matter expert; Developing and implementing bioinformatics tools and pipelines in cloud environment; Collaborating with DFCI software engineering and data science teams as well as interacting with external cloud and other technology vendors; Meeting, consulting, and providing computational and informatics support to various DFCI scientists and independent faculty members in designing and executing key biomedical projects; Collecting, analyzing, interpreting, and integrating complex biomedical data; Delivering results for projects and generating relevant reports
Anforderungen: Bachelor’s degree required in a STEM field. Master’s degree or PhD strongly preferred in bioinformatics, medical informatics, computational biology, statistics, computer science/engineering, or a related quantitative field; Deep bioinformatics skills at the interface between bioinformatics programming and understanding of biological and clinical problems

Aufgaben: Work on unique, multi-omics datasets to support translational lung cancer metabolism research; Develop cutting-edge methods for processing, analyzing, and interpreting multi-omics data; Enjoy a close working relationship with bioinformaticians, statisticians, bench scientists, and translational researchers to establish a well-rounded multidisciplinary team; Join an institute that highly values computational research
Anforderungen: PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics, or related fields; Experience working with at least one “omics” type (e.g., DNA-seq, RNA-seq, metabolomics, proteomics); Preference will be given to candidates with experience in integration of multi-omics data; Programming experience in statistical program R and/or scripting languages such as Python/Perl on Unix/Linux systems; Highly motivated and independent researcher with a background in cancer biology; Excellent communication and writing skills

Aufgaben: You will be a part of a dynamic research environment where we aim to translate our understanding of immunology to develop therapies and diagnostics, transforming clinical practice and benefiting patient health; You will be a part of a team with broad computational and experimental expertise that values collaboration and mentorship; You will have access to pre-clinical and clinical samples and datasets; You will have access to state-of-the-art technologies, pioneering research, active seminar series with both internal and external speakers, and opportunities to publish/present externally
Anforderungen: You have a PhD in Computational Biology, Immunology, Genomics, Genetics, or related fields; You deeply understand the practice, principles, and challenges of statistical analysis and biological interpretation of omics data. You think critically about experimental design and practice reasoned skepticism; You are adept in the use of Python and/or R for statistical analysis, data transformation, and data visualization; You enjoy communicating science to and collaboratively interpreting data with teams with diverse scientific backgrounds

Aufgaben: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis
Anforderungen: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply. The successful candidate is expected to have good communication skills that are necessary for effective collaborations

Aufgaben: We are searching for an outstanding Bioinformatics Engineer with an interest in working closely with computational biologists and experimental biologists to deploy bioinformatic methods and resources relevant to single-cell sequencing and spatial imaging. The focus of this work is the building and maintenance of software tools, pipelines, and resources for integrative analysis of high throughput sequencing and imaging data
Anforderungen: A PhD degree or equivalent experience in biological sciences, mathematics, physics, bioinformatics, or related discipline with a quantitative background; Knowledge of sequencing and imaging technologies and their application; Proven experience with computational tools and workflows for the analysis of genomic datasets; Strong programming skills and proficiency in scientific computing software and scripting languages such as Python and R

Aufgaben: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Anforderungen: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; AWS certification is a plus; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting

Aufgaben: Gesprächsführung mit der lokalen Bevölkerung sowie Vertretern von Institutionen und Behörden im Einsatzgebiet zur Erkennung potentieller Lageveränderungen; Unterstützung des Teamleaders im Erarbeiten von Gesprächsstrategien sowie Rapportieren der Informationen von Gesprächspartnern; Durchführen von Patrouillen mittels Fahrzeug oder zu Fuss; Informieren und Instruieren der Sprachmittler vor Gesprächen, Meetings und Patrouillen; Erstellen von Rapporten in englischer Sprache zugunsten der Missionsführung gemäss deren Einsatzrichtlinien
Anforderungen: Abgeschlossene Berufsausbildung oder Studium; Zur eigenen Sicherheit und zur Sicherheit der Kameradinnen und Kameraden sowie einer reibungslosen Zusammenarbeit mit österreichischen Kollegen/innen und lokal angestellten Personen, sind für diese Funktion Kenntnisse der deutschen Sprache (mind. B2) erwünscht; Kenntnisse der englischen Sprache (mind. B2); Ziviler Führerausweis (Kat B); Alter zwischen 18 und 65 Jahren; Abgeschlossene Rekrutenschule der Schweizer Armee, Frauen mit Schweizer Staatsbürgerschaft ohne militärische Grundausbildung werden der Funktion entsprechend militärisch ausgebildet

Pensum: 100%
Aufgaben: Durchsetzung der vom UNO-Sicherheitsrat verabschiedeten Resolutionen überwachen; Verstösse gegen die Resolutionen der UNO beobachten und rapportieren; Gespräche mit der lokalen Bevölkerung und Behörden führen sowie Patrouillentätigkeiten im Einsatzgebiet ausführen; Truppenbeschränkungen sowie Waffen und Munition im Einsatzgebiet auf Grundlage des Missions-Mandates kontrollieren; Einhaltung der Grundlagen zum Schutz der Zivilbevölkerung und des UNO-Personals durch Verhandlungen und Gespräche kontrollieren
Anforderungen: Abgeschlossene Berufslehre oder Studium, praktische Veranlagung und einwandfreier Leumund; Militärischer Grad der Schweizer Armee als Oberleutnant, Hauptmann, Major oder Oberstleutnant; Psychische und physische Belastbarkeit; hohe Bereitschaft, sich im internationalen Umfeld für mehrere Monate als unparteiischer Militärbeobachter für die UNO einzusetzen; Fähigkeit, persönliche Interessen in den Hintergrund zu stellen; Ziviler Fahrausweis (Kat. B1); Sehr gute Englischkenntnisse, Französischkenntnisse sind von Vorteil

Aufgaben: You will be a part of an international team developing open-source tools capable of supporting the development of multi-disciplinary and multi-objective optimized wind farm control functions for grid compliance and services. If you have the skills but not the experience in wind energy science, we would still like to hear from you. The same is valid if you feel you only have part of the skills, but the desire and ability to improve on the rest
Anforderungen: 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; Knowledge in one or more of the following fields: Data driven methods ideally with application to wind energy science; Data-driven wind farm layout optimization; Data-driven active power control in large wind power plants; Experience in programming with scientific Python

Aufgaben: Your objective will be to use probabilistic modeling and machine learning to create bioinformatic tools and databases that enable and inspire other researchers to analyze protein isoforms
Anforderungen: As a formal qualification, you must hold a PhD degree (or equivalent); Strong programming skills; Strong background in probabilistic models or strong math/stats background

Aufgaben: Your objective will be to create the bioinformatic tools that databases that enables isoform-level systems biology
Anforderungen: 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; Strong R programming skills; Experience with developing machine learning models, probabilistic modeling or other bioinformatic tools

Aufgaben: Your objective will be to create the bioinformatic tools that enables isoform-level analysis of proteomics data as well as apply them within proteomics
Anforderungen: 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; Strong R programming skills; Experience with applied analysis of proteomics or transcriptomics (bulk/single-cell)

Aufgaben: Your tasks will include research into novel methods for spectral shaping and stabilization of frequency combs. The overall goal will be to devise strategies for programmable optical frequency combs with quantum noise limited performance. Specifically, you will focus on the following areas: Machine learning strategies for designing feedback loops; Subspace tracking and autoencoders for amplitude and phase noise characterization; Building experimental set-ups for optical frequency comb characterization; Maintenance of the GitHub repository for the developed code; Organizing and managing joint experiments with the collaboration groups
Anforderungen: You 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 and some international experience

Aufgaben: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben; zum Beispiel: Modellierung und Konzeption komplexer Systeme, Umsetzung innovativer Protoypen und Begleitung anspruchsvoller IT-Projekte, Einsatz von Data-Science-Methoden und modernster Technologien; Grosse Freiräume beim Gestalten der Organisation, Abläufe und Systeme unserer Klienten und der Zukunft unserer Firma; Arbeiten in freundschaftlicher Atmosphäre im Team mit 100% hoch qualifizierten MINT-Absolvent*innen, bei dem auch der Spass nicht zu kurz kommt
Anforderungen: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik

Pensum: 80-100%
Aufgaben: Du prüfst und recherchierst schweizerische Patentanmeldungen und führst Patent- und Technologierecherchen sowie Patentumfeldanalysen weltweit durch; Du erteilst mündliche und schriftliche Auskünfte an unsere Patentanmelder/-innen und Kunden, hältst Schulungen und nimmst an Veranstaltungen im In- und Ausland teil; Du pflegst den internen Wissensaustausch, um die technischen Kenntnisse und das Patentwissen im Team und in der Abteilung zu erhalten und zu fördern
Anforderungen: Du verfügst über ein abgeschlossenes naturwissenschaftliches oder Ingenieursstudium, von Vorteil in Maschinenbau, Feinmechanik oder Uhrentechnik; Du bist deutscher oder französischer Muttersprache mit sehr guten Kenntnissen der jeweils anderen Sprache und Englisch; Du verfügst über eine selbstständige, zuverlässige und exakte Arbeitsweise und fühlst dich in einer digitalen Umgebung wohl; Du bist gewohnt, Aufgaben zu priorisieren und parallel zu bearbeiten

Aufgaben: The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) is one of the nine professional universities recognised by the Swiss Confederation. Founded under federal law, SUPSI offers more than 30 Bachelor's Degree and Master's Degree courses, characterised by cutting edge education which unites classical theoretical-scientific instruction with a professional orientation. Great care is given to research, carried out in key sectors on competitively acquired projects with large European and national agencies or mandated by organisations and institutions
Anforderungen: We crawl all higher jobs in research, teaching and administration at SUPSI automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: The team works on the development of new organic polymer/molecular semiconducting materials and their application to organic electronic devices and functional thin films. Specifically, we seek the methodology and molecular design to control the precise structure in molecular- and nano-scale at our will and try to find breakthroughs to drastically enhance the performance of the materials. Targets of our research are not only the conventional organic solar cells and field-effect transistors, but also the new molecular design that draws the maximum potential in the electronic properties of the polymer thin films
Anforderungen: Applicants must have a doctor degree (or are expected to have until the employment) in the related fields of chemistry or physical chemistry