Duration: 3 m
Duties: You will participate in the study of the thermal-mechanical design of these new RF components by using the Multiphysics software ANSYS, which is based on the finite element method. Furthermore, you will actively join the discussion with engineers and technicians at the PSI workshop in order to give consulting and support to the RF section in the evaluation and realization of these new RF components
Requirements: You are a physics/engineering student (minimum 4 semesters); You are motivated in performing numerical simulations and you have a general interest in designing products that are actually manufactured; You have basic skills in programming; You are open-minded, communicative and enjoy working in an international team; You have not yet completed your Master’s thesis

Duties: To staff a variety of courses each semester in the field of mathematics. Adjunct faculty may instruct one or more courses or labs each semester as needed. Adjunct faculty are expected to teach a specified course(s); prepare course materials; provide support and guidance to students; and report grades
Requirements: ABD or PhD in mathematics or related majors; Previous teaching experience and a willingness to be flexible in class scheduling

Duties: The Department of Public Health Sciences is seeking applications for an Assistant Professor in Biostatistics. This tenure-eligible faculty position will play a major role in participating in collaborative research projects and in developing independent high-impact statistical research. The successful candidate will collaborate with UVA investigators on the analysis of data generated from various biomedical studies. In addition, the position will provide opportunities for developing his/her own high-impact statistical research
Requirements: Doctorate in Biostatistics, statistics, or closely related field; substantial experience in teaching statistics in graduate courses; a record of peer-reviewed publications, and a track record or potential in high-impact methodologic or applied statistic research

Duties: The successful candidate will join a collegial and productive research team focused on the statistical analysis of human genetic studies. Analytical responsibilities will include genetic association analysis of common and rare disease variants. Collaborative efforts will include an emphasis on post-GWAS studies including whole genome sequence analysis, targeted analysis of candidate genes, and integrative analysis of genomic and transcriptomic data in studies of cardiovascular disease, atherosclerosis, diabetes and pulmonary diseases
Requirements: Necessary qualifications for the position include a Master's or higher degree in Biostatistics, Genetics, Epidemiology, or a related field; knowledge of statistics and genetics; experience with statistical software (R, Splus or Matlab); a strong work ethic; the ability to work independently combined with willingness to work in a highly interactive and collegial group; and excellent written and oral communication skills. Desired qualifications include experience working with large-scale multi-center studies; working knowledge of existing tools for genetic analysis and data management; C, C++, and/or Perl programming skills; and experience working in a Unix/Linux environment

Duties: The laboratory of Chongzhi Zang at the Center for Public Health Genomics, University of Virginia (UVA) is seeking to fill multiple Postdoctoral Research Associate positions in the broad field of bioinformatics and computational biology. The research program in the lab focuses on developing computational methodologies and designing integrative data science approaches to study chromatin epigenomics and gene regulation
Requirements: To qualify for the positions, a Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science, Data Science, Engineering or a related field is required by start date; Proficient in Python (or C/C++) & R programming; Excellent communication and teamwork skills; Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., next-generation sequencing analysis, etc.)

Duties: The Claim Reserves Actuarial Manager is responsible for developing information and providing analysis necessary for the estimation of loss and expense reserves for a particular business unit. The Claim Reserves Manager provides expert level analysis and execution of reserving processes and programs to achieve department objectives. In addition, this position is responsible for developing, implementing, managing and communicating complex reserve position action plans. This position may be responsible for managing direct reports
Requirements: Bachelor’s degree required; preferably in related field of study such as actuarial science, math/applied math, statistics/applied statistics, economics; Seven or more years of loss and expense reserve estimation experience required; Fellowship or Associateship of the Casualty Actuarial Society required

Department: Fakultät für Mathematik und Informatik
Workload: 100%
Duties: Die Mitarbeiter*innen des Studiendekanats sind zuständig für alle organisatorischen und koordinativen Belange im Bereich Studium und Lehre. Eingebunden in das Team des Studiendekanats stehen folgende Tätigkeiten im Focus: Aufbau und Gestaltung der neuen Aufgabe eines systematischen fakultären Qualitätsmanagements für die Studiengänge der Mathematik im Kontext einer Systemakkreditierung; Qualtätsmonitoring für mathematischen Studiengänge, insbesondere auch unter Diversitätsaspekten; Koordination des Studiums in der Fakultät und in Zusammenarbeit mit zentralen Einrichtungen der Universität, wie der der Lehrerbildung; Mitwirkung bei der Akquise von Drittmitteln, beim Studierendenmarketing und bei der Internationalisierung des Studiengangs
Requirements: mit einer Promotion abgeschlossenes Hochschulstudium; Erfahrung in Projekt- und Wissenschaftsmanagement; sehr gute Kenntnisse der aktuellen Universitäts- und Studienstrukturen; Erfahrung in der Erhebung und IT-basierten Auswertung von quantitativen und qualitativen Daten; zeitgemässe IT-Kenntnisse, insbesondere sicherer Umgang mit Microsoft-Office-Anwendungen (Word, Excel, PowerPoint) und LaTeX; sicherer Umgang mit Datenbanken; sehr gute Deutsch- und Englischkenntnisse; exzellente kommunikative Fähigkeiten, mündlich wie schriftlich, sowie interkulturelle Sensibilität

Duration: 3 y
Duties: work closely and constructively together with the involved companies and partners in the involved projects and researchers at DTU-Compute; develop methods for forecasting as described above; develop the required control and optimization algorithms
Requirements: Master degree (or equivalent) in engineering or statistics; Experience in stochastic modeling of continuous time (SDE) systems with complicated state-dependent diffusion; Experience in programming with R; Experience in mathematical/statistical modeling, optimization, and estimation

Duties: The purpose of the position is to carry out research in the field of modeling, analytic, optimization and numerical aspects of generalized Nash equilibrium problems with partial differential equation constraints. The position offers the possibility to do a doctorate (PhD)
Requirements: A completed university degree in mathematics or a related discipline (preferably with very good results); Knowledge of partial differential equations, continuous optimization and applied functional analysis; Experience in the field of numerical and computer-aided implementation; a high proficiency in spoken and written English

Workload: 100%
Duties: Conducting an independent research project in the area of active decision-making for agricultural robots; Acquisition and application of scientific methods; Publications (e.g. of scientific results); Acquisition of skills and experiences in project/research management
Requirements: An excellent degree in robotics, mechatronics, computer science or a related subject at Masters level or equivalent; An independent scholar who wants to shape research in Core Project 4; An interest in interdisciplinary and collaborative research

Workload: 100%
Duties: Konzipierung von Prozessen im Bereich Projektmanagement für drittmittelfinanzierte interdisziplinäre Verbundprojekte und Forschungsdatenmanagement; Etablierung eines Forschungsjourfixes zur Profilbildung und Vernetzung; Lehre im Bereich Forschungsdatenmanagement und Datenanalyse; Konzeption, Erstellung und Support bei der Umsetzung digitaler Lehrkonzepte mit studentischen Mitarbeitenden
Requirements: ein abgeschlossenes Hochschulstudium (Master) im Bereich Wirtschaftswissenschaften, Agrarwissenschaften oder vergleichbarer Studiengänge; Berufserfahrung im Forschungsdatenmanagement, Datenanalyse, digitaler Lehre; sehr ausgeprägte analytische Fähigkeiten; sehr gute Englischkenntnisse; sehr gute Kenntnisse im Umgang mit MS Office und Kommunikationstechnologien; sehr gute Kenntnisse im Umgang mit R und weiteren relevanter Analysesoftware; strukturierte und organisierte Arbeitsweise, engagiert, flexibel, teamorientiert und fortbildungsinteressiert

Department: Assurance
Duration: November 2021 bis April 2022       
Workload: 100%
Duties: Du prüfst Konzern- und Jahresrechnungen nationaler sowie internationaler Unternehmen bei Kunden vor Ort und wirst Teil von interdisziplinären und multikulturellen Teams; Du beurteilst Geschäftsprozesse, hilfst bei Fragen zur Rechnungslegung nach verschiedenen Standards (OR, IFRS, Swiss GAAP FER, US GAAP) und beteiligst dich an Sonderaufträgen sowie -prüfungen; Du bist Teil der digitalen Transformation der Wirtschaftsprüfung, indem du unsere digitalen Prüftools und -ansätze einsetzt; Du kannst dich in einem Arbeitsumfeld, das von Teamgeist, Vertrauen und gegenseitiger Unterstützung geprägt ist, persönlich entfalten; Du lernst die vielfältigen Möglichkeiten und Karrierechancen kennen, die PwC bietet
Requirements: Du befindest dich mindestens im 4. Semester deines Studiums (Bachelor/Master) an einer Universität oder Fachhochschule, betriebswirtschaftliche oder STEM/MINT-Profile sind von Vorteil, wobei wir auch für andere Studiengänge offen sind, wenn wir deine Motivation für ein Praktikum in der Wirtschaftsprüfung spüren; Du hast ein Flair für Zahlen sowie für betriebswirtschaftliche Zusammenhänge; Du kennst dich mit den gängigen MS-Office-Produkten (Word, PPT, Excel, Outlook) aus und interessierst dich für die Digitalisierung, im Speziellen für Datenanalyse-Tools (PowerBI, Alteryx, Matlab); Du möchtest Firmen/Organisationen verstehen, insbesondere ihre Prozesse, die internen Kontrollen (IKS) sowie die Finanzflüsse; Du sprichst und schreibst stilsicher in Deutsch und Englisch

Department: Advisory
Workload: 100%
Duties: Als ausgewiesener Customer Analytics Experte akquirierst und leitest Du Customer Analytics Kundenprojekte in verschiedenen Industrien im Schweizer Markt; Du nutzt Deine Führungsqualitäten und bist für Customer Analytics Services in unserer Digital Intelligence Business Unit zuständig; Du arbeitest in einem diversifizierten Team in einem internationalen Netzwerk und entwickelst gemeinsam mit unseren Experten und den Kunden massgeschneiderte Lösungen, welche du mit hoher Überzeugungskraft vor dem Auftraggeber präsentierst und zum Erfolg führst; Bei den Kundenprojekten bringst Du sowohl deine eigene Expertise, als auch die relevante Expertise des Gesamtunternehmens mit ein; Du baust unsere Reputation im Markt, unsere Services und unsere fachlichen Fähigkeiten aktiv aus und unterstützt das Team bei der internen Weiterentwicklung von Methoden, Prozessen und technischen Lösungen; Du entwickelst dein technisches Know-how und deine Soft Skills durch On-and-off-the-job-Trainings weit...
Requirements: Du verfügst über einen Universitäts-, ETH- oder Fachhochschulabschluss mit einer Ausrichtung auf Naturwissenschaften (z.B. Physik, Chemie), Mathematik, Statistik, Data Science oder (Wirtschats)-Informatik; Du hast mindestens 5 Jahre ausgewiesene Erfahrung im Bereich Customer Analytics, idealerweise hast du bereits Erfahrung im Consulting gesammelt. Du bist vertraut mit Methoden aus den statistischen Umfeld als auch mit Machine Learning Ansätzen; Du hast Branchenerfahrung (Financial Services oder Pharma oder Industrial Industries), und entlang des Customer Journeys bist du erprobt im Umgang mit Analytics (Segmentation, Customer Lifetime Value, Churn Prediction, Sales Prediction, Next Best Offer, etc.); Du bist vertraut mit CRM-Lösungen und verstehst das Customer Lifecycle Management unserer Kunden, und kannst daraus gezielte neue Lösungen und Services erarbeiten; Du bist teamorientiert, verfügst über eine hohe Lernbereitschaft und analytisches und gesamtheitliches Denken und arb...

Duties: The successful candidate will develop and refine model approaches for estimating the flows of nitrogen in and between environmental pools in urban settings. This will involve to extend the current approaches of urban stock-flow modeling towards waste/wastewater processes, and the specific aspects of urban agriculture. This will also require the collection of data for the Vienna test area from national statistics, local authorities, and other stakeholders - in part via personal interviews
Requirements: Candidates should have a background in quantitative sciences or engineering, specifically in fields like (but not limited to) environmental sciences, climate sciences, agricultural sciences, agricultural or environmental engineering; Applicants must be prepared to process and manage large datasets, become proficient with a complex systems model, and analyze results. Proficiency with statistical tools and programming (e.g., Python or R) is highly welcome. Also operating GIS systems will be helpful. Applicants also must be prepared to develop new modeling approaches and think critically and independently about their research

Duties: Process a large quantity of demographic data as part of the team that develops a multidimensional demographic model; Prepare web-based tools to share the data and model; In line with the team spirit that prevails at IIASA, the incumbent may occasionally work on other tasks assigned by their superiors, that might not be directly related to this appointment but where the post holder has relevant experience and skills, and/or a shortage of immediate personnel capabilities requires such
Requirements: Master’s degree in Demography/Statistics/Data Science; Expert modeling skills in R. Knowledge of other programming languages (e.g. python) is a plus; Experience handling large datasets and good data management skills; Research experience in social science, preferably in demographic analysis and modeling

Department: Fakultät für Mathematik und Physik
Duration: 3 y       
Workload: 100%
Duties: Von der erfolgreichen Kandidatin oder dem erfolgreichen Kandidaten wird erwartet, dass sie/er im Bereich der algebraischen Geometrie forscht und sich an den Aktivitäten des ERC-Projekts aktiv beteiligt
Requirements: Voraussetzung für die Einstellung ist ein abgeschlossenes wissenschaftliches Hochschulstudium. Darüber hinaus wird eine Promotion mit überdurchschnittlichen Ergebnissen in der Algebraischen Geometrie erwartet. Ein Forschungsschwerpunkt mit Anknüpfungen zu Rationalitätsfragen oder Algebraischen Zyklen wird erwartet

Department: Fakultät für Mathematik und Physik
Duration: 4 y       
Workload: 75%
Duties: Von der erfolgreichen Kandidatin oder dem erfolgreichen Kandidaten wird die selbständige Bearbeitung von Forschungsprojekten erwartet
Requirements: Voraussetzung für die Einstellung ist ein abgeschlossenes wissenschaftliches Hochschulstudium in Mathematik. Wir erwarten überdurchschnittliche Studienleistungen in der Algebraischen Geometrie

Department: Fakultät für Mathematik und Physik
Duration: 3 y       
Workload: 100%
Duties: Von der erfolgreichen Kandidatin oder dem erfolgreichen Kandidaten wird erwartet, dass sie/er im Bereich der algebraischen Geometrie aktiv forscht und sich in angemessener Weise an den Lehraufgaben des Instituts beteiligt
Requirements: Voraussetzung für die Einstellung ist ein abgeschlossenes wissenschaftliches Hochschulstudium. Darüber hinaus wird eine Promotion mit überdurchschnittlichen Ergebnissen in der Algebraischen Geometrie erwartet

Duties: Analyze health and financial information to develop insights that support business decision; Assess trends, financial impact, and outcomes; Develop underwriting and pricing proposals for all CareCentrix Products, across all their lifetime cycles for prospective clients, including: client data scrubbing and mining; clinical/operational historical analysis; claims reserving and trend assessment; operational modeling of production/administrative related tasks; clinical modeling of utilization management process and its impact; financial modeling for underwriting purposes; Create and/or update actuarial pricing, reserving and forecasting models
Requirements: You have Bachelor's degree in Actuarial Science, Math, Economics or similar field (required); You are on an Actuarial Exam Track and have passed 1 or more exams; You think in quantitative terms. You know financial modeling and have advanced skills in: Excel, PowerPoint, SQL, and Tableau; You have 3+years experience in the healthcare industry

Duties: Analyze healthcare and financial data through data scrubbing and mining for current and prospective clients; Analyze clinical/operational historical data; Assess trends and claims reserving; Perform operational and clinical modeling of utilization management process and its impact; Develop financial modeling for underwriting purposes; Update actuarial pricing, reserving, and forecasting models; Establish consistent actuarial standards, methodologies and practices; Assist with establishment of financial/operational/clinical benchmarks
Requirements: You have a Bachelor's degree in Actuarial Science, Math, Economics or similar field required; You are on an Actuarial Exam Track (having passed one (1) or more actuarial exams); You have strong SQL experience. You may even know a little about Tableau; You have 1 to 3 years academic or business experience preferably in the healthcare industry and/or a technical role; You have expertise in Microsoft Office Suite experience including but not limited to: Excel, PowerPoint, and Word

Duties: Teach two to three mathematics courses per semester to STEM majors; Write grant proposals and secure funds from Federal, state and/or private agencies; Conduct high quality research work in mathematics/applied mathematics and publish in referred journals; Involve undergraduate students in research activities; Work with students to place them in summer research internships and to seek admissions to graduate schools or job opportunities; Involve in the advisement process of the department and recruit students for the department
Requirements: Ph.D. in Mathematics or Statistics or Applied Mathematics. The candidate should have at least seven years of teaching experience at an accredited university. The candidate should be proficient in computer skills; ability to use stand-alone or web-based courseware and other teaching tools

Duties: Teach and develop course outlines in Computer Science and/or Cybersecurity; Write grant proposals and secure funds for Federal, state and/or private agencies; Participate in student recruitment and advising; Serve on various department, college and university committees; Supervise senior research projects; Contribute to continuous improvement activities of programs in the department; Attend all University and College faculty meetings, convocations, commencements, and official functions of the University
Requirements: Candidates must have a Ph.D. in Computer Science and publications in Cybersecurity area is preferred. Teaching experience, and strong research record or research potential is desirable. Strong candidates in all areas of Computer Science are encouraged to apply. However, special emphasis will be given to applicants with expertise in Cybersecurity, AI, robotics, machine learning, networks, data mining, modeling, and simulation

Duties: Work with the other members of the team to help people learn more about the Web3 stack; Write sample applications and code to show developers how it operates and how its functionality can be used; Interacting with developers and users of the chain to understand their needs, and developing articles, tutorials, and code in response; Create documentation such as blog posts, tutorials and videos to teach developers how to build on the Web3 stack; Curate educational material created by the community and ensure its accessibility; Answer technical questions from developers and users working with Polkadot and related technologies; Investigate and identify new technologies and capabilities that will enhance the Web3 tech stack
Requirements: Interest in blockchain technology; Programming skills (in any language); Ability to document and comment code; Quickly able to learn and teach new technologies and frameworks

Duties: Work with the other members of the Technical Education team to help people learn more about the Web3 stack; Write sample applications and code to show developers how it operates and how its functionality can be used; Interact with developers and users of the chain to understand their needs, and developing articles, tutorials, and code in response; Create documentation such as blog posts, tutorials and videos to teach developers how to build on the Web3 stack; Curate educational material created by the community and ensure its accessibility; Answer technical questions from developers and users working with Polkadot and related technologies; Investigate and identify new technologies and capabilities that will enhance the Web3 tech stack
Requirements: Solid understanding of blockchain technology; Solid programming skills (in any language); Ability to document and comment code; Quickly able to learn and teach new technologies and frameworks

Duties: The University of Luxembourg (UL) is seeking to hire 3 Postdocs within the HPC team of the University of Luxembourg led by Prof. Pascal Bouvry (Head) and Dr. Sébastien Varrette (Deputy Head). Since 2006, the University of Luxembourg has invested into its own High Performance Computing (HPC) facilities. Special focus was laid on the development of large computing power combined with huge data storage capacity to accelerate the research performed in intensive computing and large-scale data analytic (Big Data). This characteristic distinguishes the HPC center at the university from many other HPC facilities, which often concentrate on only one of these two pillars. Nowadays, the UL HPC facility remains the biggest platform in Luxembourg and the HPC team is deeply involved in the national and European HPC developments. Further information can be found on hpc.uni.lu. As part of the Data/HPC facility of the University of Luxembourg, you will be; Supporting researchers across university to b...
Requirements: PhD degree in Computer Science or related fields (e.g. engineering, applied mathematics, data science, etc); Advanced knowledge in HPC and/or HPDA; Great Research and Educational skills; Understanding and implementation of project management best practices. In particular, ability to manage multiple projects under strict timelines as well as the ability to work well in a demanding, dynamic environment and meet overall objectives; Commitment, team working, interpersonal skills and a critical mind; Fluent written and verbal communication skills in English are mandatory. The University of Luxembourg is set in a multilingual context, thus knowledge in at least one of the two official languages of Luxembourg (French or German) is an asset