Duties: Gesucht wird eine Persönlichkeit (m/w/d), die das vorhandene Forschungsprofil des Instituts für Mathematik im Bereich Algebra, Computeralgebra oder Zahlentheorie ergänzt und die Lehre für die Bachelor- und Master-Studiengänge sowie die Lehramtsstudiengänge in Mathematik sowie den Service der Mathematik für andere Studiengänge der JMU insbesondere in den zuvor genannten Bereichen unterstützt
Requirements: Einstellungsvoraussetzungen sind ein einschlägiges abgeschlossenes Hochschulstudium, pädagogische Eignung, besondere Befähigung zu wissenschaftlicher Arbeit, die in der Regel durch die Qualität einer Promotion nachgewiesen wird, sowie zusätzliche wissenschaftliche Leistungen

Duties: 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
Requirements: 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++

Duration: 6 m
Duties: As part of our Deals Analytics team, you are using a broad range of state-of-the-art tools and techniques to generate insights from large data sets and help our clients make more informed M&A decisions; Working on financial and commercial due diligence projects with private equity and corporate clients across all sectors, leveraging company, alternative and market data to derive insights on a company's competitive positioning and performance; Process, analyze, and visualize complex data sets in order to design, develop and implement business intelligence (BI) tools for our clients, allowing them to monitor business performance and identify value creation opportunities; Participate in internal and client meetings and prepare written reports, summarizing findings in a concise, articulate manner; Support various upskilling initiatives (for instance around the use of Generative AI), enhancing our broader Deals team's digital capabilities, and assist in developing tools to drive automat...
Requirements: Current or completed studies in business administration, data science/analytics, economics, statistics, or information science, with a strong interest in solving quantitative and analytical challenges; First practical experience from internships or previous positions in high performing teams, preferably in data analytics, consulting, Big 4 and/or private equity. Ideally, you have worked in a dynamic, collaborative environment under time sensitive deadlines; Initial experience in leveraging data and business intelligence software to turn data into actionable insights on company performance. Strong understanding of and interest in financial statements, M&A transactions, and financial modelling; Strong familiarity and practical experience with data extraction/transformation, analytics, and visualization approaches as well as a high degree of data fluency; Proven skills in Excel, Alteryx and PowerBI. Knowledge and experience with basic programming is preferred but not required (e.g. Py...

Workload: 60-100%
Duties: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Requirements: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Workload: 100%
Duties: Betreuung von Schlüsselkunden; Verantwortungsvolle Mitarbeit bei Zertifizierungs-Mandaten, teilweise Koordination von internen Teams; Erarbeiten eines Verständnisses des Marktes und der Mitwirkenden in CH und EU; Fachliche Mitarbeit auf Zertifizierungs-Mandaten; Unterstützung bei der Aufrechterhaltung und Erweiterung der Akkreditierung; Weiterentwicklung des Service Offerings, Teilverantwortung über Zertifizierungscluster
Requirements: Erfolgreich abgeschlossenes Studium in Information Technology bzw. Computer Science, oder naturwissenschaftliches Studium; Mindestens 2-3 Jahre Berufserfahrung im Bereich IT Governance, Compliance, IT Audit oder Zertifizierung (in Funktion des Zertifizierers oder Zertifizierten); Schnelle Auffassungsgabe für komplexe Zusammenhänge; Kenntnisse und von Vorteil Berufserfahrung im Bereich Software-Konzepte sowie dazugehörigen Prozessabläufe, Kenntnisse von Sicherheitseinstellungen von Betriebssystemen, Datenbanken und Netzwerk Architekturen; Kommunikative Persönlichkeit sowie fliessende Deutsch- und gute Englischkenntnisse; Exakte und selbständige Arbeitsweise; Wissensdurst, Verantwortungsbewusstsein, Belastbarkeit und ein hoher Grad an Flexibilität

Workload: 100%
Duties: Contribute to the design and development of solutions and products for data analysis, reporting and visualization in the field of Audit and Assurance; Identify, discuss, and investigate the challenging business problems of our clients and auditors; Gain insights into various business processes, IT systems and data models of our national and international clients; Support our team in integrating our solutions into existing business processes of our clients; Interact with clients from different industries and functional areas (Marketing, Sales, Operation, Finance)
Requirements: A bachelor's or master's degree in a business or technical field of study; Great interest in the analysis and evaluation of business data, IT environments and business processes; Willingness to gain a solid insight into the diverse data world of our national and international clients; High self-initiative, problem solving mindset and good analytical skills with a demand for highest quality standards; Proficiency in SQL and Python (Microsoft SQL Server Studio, PowerBI, and Visual Studio Code); Excellent English skills, good German skills

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: 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
Requirements: 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

Duties: The specific duties for this position may include protocol development, study design, analysis plan, sample size/power calculations, and interpretation of study data; develop, design and write new and/or revised statistical programs (say in SAS or R) and modeling based on requirements of ongoing research projects; conduct and interpret analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models; evaluate and ensure statistical integrity, accuracy and validity of research data; compiles results and provides statistical summaries and reports to principal investigators; assist with grant proposal preparation in study design, sample size calculations, and development of statistical analysis plans; assist with preparation of journal articles, technical reports and other materials for publication and presentation; manage biomedical databases for assigned research projects; read and review appropriate biomedical and statistical papers...
Requirements: Master's degree in biostatistics, statistics or related quantitative field with 6+ years’ experience in design, conduct, monitoring, and analysis of cancer clinical studies, in preparing and reviewing clinical trial protocols, and in preparing grant applications and writing research reports, or doctoral degree with 3+ years’ experience in these areas

Duties: Be responsible for leading the research culture at PMU. The focus of the job will involve own research activities in area of expertise in AI in addition to presenting research findings at conferences worldwide; Seek external funding to support and expand research activities to enhance the prestige and visibility of PMU and to initiate research projects with local industries, government agencies and the community; Be expected to take part in the strategic planning and decision making of PMU’s Center for Artificial Intelligence
Requirements: A PhD degree in computer science, engineering, physics, data science, mathematics or a closely related field; A proven track record of carrying out cutting-edge research demonstrated by publications in top journals/conferences; A proven track record of funding acquisition through grants and/or contracts; Excellent written and verbal communication skills

Duties: The appointees are expected to make significant contribution to teaching at both undergraduate and postgraduate levels; advise postgraduate research students; play an active role in curriculum development and management; maintain an active research profile; actively seek external grants and contracts to support research endeavours; provide service to the School and University governance; contribute to professional engagement, networking, and outreach activities that enhance the academic and professional life of the School
Requirements: A PhD in Data Science/Statistics/Computer Science/Engineering or related disciplines, with a strong research record and promising teaching ability

Duties: Develop new capabilities of our engine dealing with complex shopping experiences; Take advantage of the most advanced methodologies in ML and statistics; Design and develop new data-based features aimed at revenue optimization; Participate in the design of our AI solution for e-commerce; Collect, analyze, and sample data to create deep insights for merchants
Requirements: MSc/PhD - advantage; 5 years or more of data science experience working with large-scale data sets; 2 years or more of hands-on ML experience; Full proficiency with SQL/R/Python or similar; Strong mathematical/engineering/statistical or similar background; E-commerce experience - big advantage

Duties: Verschiedene Datenquellen verknüpfen; Bei der Durchführung von Datenanalysen und Datenintegrationen unterstützen; Bei der Konzeption und Implementierung von Machine Learning Modellen mitwirken; Die Ergebnisse visuell darstellen
Requirements: Studium in Data Science, Informatik oder vergleichbar; Sprachniveau Deutsch mindestens C1

Workload: 100%
Duties: Betreuung von Schlüsselkunden; Verantwortungsvolle Mitarbeit bei Zertifizierungs-Mandaten, teilweise Koordination von internen Teams; Erarbeiten eines Verständnisses des Marktes und der Mitwirkenden in CH und EU; Fachliche Mitarbeit auf Zertifizierungs-Mandaten; Unterstützung bei der Aufrechterhaltung und Erweiterung der Akkreditierung; Weiterentwicklung des Service Offerings, Teilverantwortung über Zertifizierungscluster
Requirements: Erfolgreich abgeschlossenes Studium in Information Technology bzw. Computer Science, oder naturwissenschaftliches Studium; Mindestens 2-3 Jahre Berufserfahrung im Bereich IT Governance, Compliance, IT Audit oder Zertifizierung (in Funktion des Zertifizierers oder Zertifizierten); Schnelle Auffassungsgabe für komplexe Zusammenhänge; Kenntnisse und von Vorteil Berufserfahrung im Bereich Software-Konzepte sowie dazugehörigen Prozessabläufe, Kenntnisse von Sicherheitseinstellungen von Betriebssystemen, Datenbanken und Netzwerk Architekturen; Kommunikative Persönlichkeit sowie fliessende Deutsch- und gute Englischkenntnisse; Exakte und selbständige Arbeitsweise; Wissensdurst, Verantwortungsbewusstsein, Belastbarkeit und ein hoher Grad an Flexibilität

Workload: 60-100%
Duties: Support and lead projects, from a quantitative and qualitative perspective, including analyzing/challenging/improving processes as well as consideration of relevant regulatory requirements (Basel, FINMA, etc.) and market practice, in a number of the following areas: i. Credit Risk, ii. Market Risk, iii. Liquidity Risk and Treasury, iv. Operational Risk, v. Capital; Build strong trusting relationships with our clients and internally
Requirements: Master or PhD in (i) a quantitative discipline (e.g., Mathematics, Physics), (ii) Banking and Finance or (iii) Economics or any other business-related field; 4-10 years of professional experience, particularly in banking (preferred) or in a consulting firm focusing on (quantitative) risk management topics; Strong analytical skills, coupled with an open and curious mind, problem solving ability and a solution focused attitude; Excellent knowledge of the Microsoft Office software suite; Strong written and verbal communication skills, the ability to build long lasting relationships and team orientated; Project and people management skills; Experience in model development and/or model validation is a plus for Credit Risk and Market Risk; Coding experience in Python or R is a plus for Credit Risk and Market Risk; Business-fluent in English (essential) with German or French language skills also beneficial

Duties: Shaping research directions and producing results. Topics include but are not limited to: Deep learning models suitable for deployment on edge devices (e.g., NVIDIA Jetson, FPGA, etc.); Neural Architecture Search (NAS) for minimal deep architectural design; Efficient in-orbit object pose estimation and tracking; Disseminating results through scientific publications; Providing guidance to PhD and MSc students; Providing support in setting up and running experiments in the SnT Computer Vision and the Zero-G labs; Participating in organizing relevant workshops and demonstrations; Participating to teaching activities
Requirements: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.); Broad experience with machine learning algorithms and deep learning concepts; Highly experienced in one or more of the following topics: Efficient deep learning; Neural Architecture Search (NAS); Embedded systems; Jetson-Nano and/or FPGA deployment; Object pose estimation and tracking

Duties: You’ll develop creative architectures to address the emerging demands of computer vision and machine learning algorithms; Understand and analyze the interplay between hardware, software, and media processing algorithms; Collaborate with a diverse set of teams across the company, spanning software, research, engineering, and product groups; Publish original research and speak at conferences and events
Requirements: Ph.D. in CE/CS/EE with a strong background in computer architecture, VLSI, parallel processing, and/or HPC. A strong publication, patent and research collaboration history is a huge advantage; Expertise in computer vision or machine learning algorithms; Experience with experimental computer architecture development and evaluation; Experience with C, C++, and scripting languages; Strong communication skills needed. Being a creative and dynamic presenter is a big advantage

Duties: Gemeinsam mit Deinem Team übernimmst Du die Beratung oder Prüfung von Versicherungsunternehmen in den Bereichen Aktuariat, ALM, Risikomanagement, Compliance, Finanzen und Unternehmenssteuerung; Dabei unterstützt Du direkt in Projekten vor Ort sowie als Experte: in in der Wirtschaftsprüfung mit fundierten Kenntnissen zu aktuariellen Fragestellungen, Data Science oder Bewertungsthemen; Du leistest einen wichtigen Beitrag bei der Umsetzung von umfassenden Finance Transformation-Projekten oder bringst Dich bei der Entwicklung und Optimierung von Bewertungs- und Risikokapitalmodellen ein; Zudem interessierst Du Dich für die Digitalisierung und Anwendungen von Big Data im aktuariellen Umfeld
Requirements: Junior Versicherungsmathematiker (w/m/d) als Aktuar/Aktuarin wirst Du bei uns mit einem abgeschlossenen Studium der Wirtschaftsmathematik, Mathematik, Physik, Informatik oder Wirtschaftswissenschaften; Idealerweise hast Du in Deinem Studium einen Schwerpunkt auf Versicherungswissenschaften, Finanzmathematik oder Programmierung gelegt; Bestenfalls hast Du bereits relevante Praktika oder eine Ausbildung in der Versicherungsbranche absolviert und strebst berufsbegleitend ein gefördertes Examen wie z.B. den Aktuar: in (DAV) an; Du hast eine strukturierte Denkweise, erkennst komplexe Zusammenhänge und löst Probleme auf kreative Weise; Du hast ein sicheres Auftreten und bist kunden- und teamorientiert; Du bringst Reisebereitschaft mit, um unsere Ansprechpersonen auch vor Ort beraten zu können; Du verfügst über sehr gute Deutsch- und Englischkenntnisse

Duties: 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
Requirements: Candidates should have a Ph.D. in Mathematics or closely related field. Applicants from all areas of mathematics are encouraged to apply

Duties: Teaching, research, and service responsibilities in the area of applied mathematics and statistics
Requirements: Ph.D. in mathematics, statistics, or a related field

Duties: Post-Doctoral Fellow (A or B) with PhD in Multi-Object Tracking and Robotics
Requirements: 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

Duties: Provide independent statistical support to Neurosurgery research projects, demonstrating expertise in biostatistics, statistical analysis software, and relevant clinical research methods. Collaborate with multidisciplinary teams to design and implement statistical models, manage databases, and ensure effective communication of statistical concepts to non-statistical audiences; Critically evaluate statistical analysis plans for clinical trials and epidemiological studies, propose plans, and conduct sample size calculations. Prepare datasets for analysis by cleaning, merging, and reformatting data. Utilize SAS and/or R for statistical data analysis, computation, and programming
Requirements: A PhD in Biostatistics, Statistics, Epidemiology or related field is required, plus a minimum of three (3) years’ work experience in biomedical research in academia, government, or industry

Duties: Effective risk and inforce management of globally assumed products with longevity risk; Driving efficiencies in longevity and collateral systems and processes; Leveraging the value in the inforce, through actionable analytics and business insights; Supporting new business growth
Requirements: Fellowship in a recognized actuarial organization preferred (FSA, FIA, FCAS, FIAA); 7+ years’ experience; at least 4 years post-qualification experience; Undergraduate degree in related field; Experience in actuarial modelling software such as Prophet and/or AXIS; Advanced knowledge of life, health, and/or annuity products; Advanced written and verbal communication skills, whereby complex and technical information can be conveyed in a way that is meaningful by all stakeholders, including senior management

Duties: As part of the Energy Services Team, you will be responsible for researching new ways to measure emissions and evaluate existing methodologies. Additionally, you will work with data from grid operators and other energy data sources to power new features across Apple’s ecosystem. Your role will require you to explore different ways to evaluate our short-term and long-term impact on the environment. We will help you build consensus for new ideas, based on a data driven story
Requirements: 5+ years relevant industry experience with Machine Learning, Statistics, Data Engineering, or similar; Strong programming background, preferably in Python; Experience with data analysis, data science tools, and data visualization; Experience with time series forecasting & evaluation, clustering methodologies and classification models