Duties: The aim of the position is to work on numerical discretization methods for partial discretization methods (finite volume methods) for applications in the semiconductor field. Laser applications are of particular interest
Requirements: A Master's degree in (applied) mathematics or a related field is required for the position. English language skills and proficiency in at least one programming language are expected. Experience with teamwork, prior knowledge in the semiconductor field, and interest in applied interdisciplinary research are desirable

Duties: You will develop new statistical methods, apply them to omics datasets, interpret the results, and implement the method in software packages. The position is funded for four years and has a light teaching load (10%). You will be encouraged to participate in relevant group meetings, conferences, workshops and seminars, and to communicate your findings through publications in peer-reviewed journals. Upon successful completion, you will be awarded a PhD degree from Radboud University. We particularly encourage applications from underrepresented groups
Requirements: You hold a Master's degree in Mathematics, Statistics, Econometrics, or an equivalent degree, or will have completed such a degree before the start date; You have a strong background in statistics; You have experience in programming, preferably in R; You have an interest in medicine and biology; You have excellent writing and communication skills; Experience in data analysis would be a plus

Duties: We take a broad view in addressing the big challenges of Earth sciences, seeking to answer questions ranging from the origins of the Earth, to understanding climate change. We have a reputation for international leadership and innovation, focused on developing new methods, whether experimental, analytical, or computational
Requirements: We seek applications from motivated and creative scientists for a position in Ocean Modelling. The role will include running and analysing high resolution ocean model simulations to examine mechanisms for warming of Antarctic continental shelf waters and (depending upon interest) may also involve contributing to the development of new ultra-high resolution regional model configurations. The successful applicant will have a strong research profile in dynamical oceanography, and experience in ocean modelling

Duties: ANU is seeking to coordinate and generate research on tropical cyclones. The Research Fellow will undertake independent research in the area of cyclogenesis and in coupled ocean-atmosphere modelling with a view to publishing original and innovative results in refereed journals, present research at academic seminars and at national and international conferences, and collaborate with other researchers at a national and/or international level
Requirements: To excel in this role, you will have a PhD in atmospheric and atmosphere/ocean modelling or a related area such as the fundamental physics of cyclone formation. You will demonstrate to articulate and prosecute innovative research in the field of atmospheric modelling and/or cyclone formation and a vision for the activities you would undertake at ANU

Duties: The position will take on a leading role in the Discrete Algebra and Geometry (DAG) group within the DM cluster. The group is expected to open two assistant professor positions over the next few years and the exact profiles of these positions within the areas of applied algebra and geometry will be determined together with the department after this more senior position is filled. A junior researcher already hired in DAG is Rob Eggermont; other direct colleagues will be Hans Cuypers and Hans Sterk. DAG provides undergraduate and graduate courses in linear algebra, algebra, discrete mathematics and geometry, as well as service teaching
Requirements: A PhD degree related to the described area; Ample experience in scientific research, as reflected in publications in scientific top journals; International recognition by experts in the field, as reflected by invited lectures at major conferences or renowned institutes; Experience in coaching the research work of others

Duties: The successful candidate is expected to teach undergraduate mathematics courses and demonstrate commitment to high impact learning practices. The applicant may also initiate and advise undergraduate capstone and research projects as opportunities permit. Visiting faculty may serve on various program or school committees based on their interest and experience. The standard teaching load for this position is twelve credit hours per semester. Rank commensurate with the applicants’ experience and credentials
Requirements: Ph.D. in Mathematics or Applied Mathematics. ABD candidates will be considered

Duties: The Research Associate will work closely within a multidisciplinary team consisting of biologists, roboticists and engineers working on both understanding the aerial behaviour of insects as well as developing flight control strategies for flying robots
Requirements: Hold a Ph.D. degree or equivalent in a robotics or control systems related discipline; Experience in programming with languages such as C/C++ or Python; A demonstrated ability to conduct simulations and experiments with autonomous systems; A record of papers in high quality journals and/or conferences of high ranking in the field

Duties: This PhD-project will focus on the dynamic interaction of the coupled train-track-bridge system with application to freight traffic. The work will involve theoretical studies and simulations as well as processing larger quantities of collected data. The aim of the project is to increase the understanding of dynamic effects on bridges caused by freight traffic, especially related to track irregularities
Requirements: The candidate should have a degree in civil- or railway engineering with a solid background in mathematics, computational mechanics and structural dynamics. Interest and experience from civil engineering structures is advantageous

Duties: Responsible for complex analysis on biomedical data produced from a variety of biotechnology platforms including, next generation sequencing systems, and tandem mass spectrometry for proteomics. Designs, develops, improves, modifies, and operates data analysis pipelines; Develops bioinformatics pipelines or uses advanced software packages (e.g. extant) in conducting data analysis for biomedical datasets; Works closely with experimental researchers to understand analytical needs, provide technical consultation, design analytical approaches, generate/provide analysis results and reports, project reports and perform requested custom analyses
Requirements: Bachelor's degree is required, Master's degree or PHD is preferred; Six (6) years of relevant experience is required; Four (4) years of relevant experience may be acceptable with a Master's degree; No experience may be acceptable with a PHD in Computer Science or Bioinformatics, with a background in the biological sciences; Experience in programming (Python, C/C++, perl or other programming/scripting languages) under linux/unix environment is required

Duties: Employ highly creative solutions to address data analytics challenges to our mission, to collect large volumes of data from varying sources, clean and interpret data, create solutions to overcome challenges, and communicate with interested entities; To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data programming software and apps, have an outstanding understanding of statistics and mathematics and be proficient in writing algorithms. You must be persistent and have excellent analytical and problem-solving skills
Requirements: Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering, ), a degree in the physical/hard sciences

Duties: We are seeking to appoint an individual with a programme of exceptional research in mathematical and/or statistical analysis of living systems. We are looking for research that develops and applies high dimensional data analysis techniques to understand mechanisms underpinning biological systems. These techniques may include topological data analysis, statistical and/or machine learning approaches. The post-holder will foster collaborations across a range of topics represented in the LSI, including for example, cell state transitions, single cell ‘omics, multicellular organisation, and cell motility
Requirements: A PhD or equivalent in Mathematics or an allied discipline and an independent, internationally recognised research programme in mathematical and statistical analyses applied to biological mechanisms; A strong record in attracting funding for research, or demonstrated potential to attract such funding; An active approach to inter-disciplinary and multi-disciplinary research

Duties: SAS Programming: Demonstrated practical understanding of SAS programming concepts and techniques.Consistency: Review output to ensure internal consistency with other output for the activity (CSR, ISS, ISE, …)Standards: Follow all department and project standards.Validation of SAS Programs: Responsible for the accuracy of SAS programs by reviewing output, reviewing code, reviewing log files andrunning all checking utilities. Responsible for creating peer review programs for assigned studies; Archival of SAS Programs: Ensure all SAS programs are imported into the archive system prior to the creation of final output; Case Report Forms and Database Definitions: Ensure clarity, accuracy and consistency of case report forms (CRFs), database definitions, and specifications for analysis data sets for individual studies
Requirements: Accountable for providing statistical programming support for reporting of clinical trials, in collaboration with other statistical programmers, statisticians, and data managers; MS in Statistics, Computer Science or a related field. OR BS in Statistics, Computer Science or related field with 2+ years of relevantexperience; Sound technical skills and communication ability, both oral and written. Competent in SAS programming

Duties: Act as lead biostatistician within a reporting team environment, responsible for the statistical aspects of clinical studies across phases I-IV; Work as study project lead, responsible for predicting and planning resources, allocating staff, quality control and the timely delivery of outputs; Lead a team of statisticians and programmers to manipulate, summarise and analyse clinical trial data using a variety of statistical methods; Prepare randomisation schedules and act as unblinded biostatistician on reporting teams
Requirements: PhD or MSc in biostatistics or related discipline; Experience working within a clinical trials environment (CRO or pharma) to have a good awareness of clinical trial issues, design and implementation; Knowledge of CDISC (SDTM/ADaM) standards; Previous experience performing statistical analysis using SAS; Excellent written and verbal communication skills; Ability to communicate with a broad range of people across different functions

Duties: Generate reproducible, high quality research results; Demonstrated ability to design and conduct experiments independently as well as in a team environment; Demonstrated experience in interpreting and analysing molecular biology data; Develop and implement algorithms using omics data (ie. RNA-seq, scRNA-seq, spatial transcriptomics and ChIP-seq); Support spin-off research projects resulting from the MTTI program; Support research projects and grant administrative activities of the MTTI group
Requirements: Minimum BSc in either Bioinformatics, Biology, Molecular Biology, Computer Science or Statistics; Expertise in at least two of bash, R, python, or perl is essential; Expertise in at least one of the following areas is desirable: Immunotherapy; Immunogenomics; Next generation sequencing; Cancer-, cell- or molecular biology

Duties: Must be self-driven and highly organized with excellent communication skills; Strong ability to effectively lead a team; Design, code, test, debug and document software according to the functional requirements; Develop, maintain and support programs/tools for internal and external clients; Analyze, diagnose and resolve errors related to their applications; Define project planning and execution and on-time delivery; Provide technical and project management expertise across multiple areas of application development
Requirements: Bachelor's degree in Computer Science Engineering or a related field of study; 5+ years of experience with backend and frontend web-based application development; 2+ years of experience with Javascript development, preferably NodeJS and React/Angular; Have sound knowledge in MVC Frameworks, Database Structure, CMS & eCommerce Development, or B2B platforms; Expertise in any application programming language like Python, PHP

Duties: Analyze the profitability of treaty reinsurance opportunities covering a broad range of lines of business including but not limited to professional and general casualty lines of business; Enhance traditional pricing methodologies by identifying and implementing analyses of internal and external data sets; Clear, precise, effective communication with underwriters, senior management, and external clients; Periodically participate in underwriting audits and client meetings; Provide price monitoring information for reporting purposes; Maintain familiarity with insurance industry developments affecting pricing analysis; Perform other related duties as required to achieve the goals and objectives of the company and department
Requirements: Bachelor’s degree in mathematics or similar field; Near ACAS designation or greater is preferred; 5 to 10 years of actuarial experience

Duties: The Department of Mathematics at Brandeis University seeks a full-time instructor to teach four courses in each of academic years 2022-2023 and 2023-2024. This is a two-year position beginning Fall 2022. Candidates in all areas of pure and applied mathematics will be considered
Requirements: PhD in mathematics or related fields. Experience teaching college-level math courses is preferred, and experience with graduate-level courses is a plus

Duties: Pflege der Stichprobengeschäfte/Unterstützung bei der Erstellung von Hochrechnungen; Optimierung von Produktionsprozessen durch Qualitätschecks, Automatisierungen; Unterstützung bei der Anlage und Pflege von Kundensegmenten (Datenbank Pflege); Datenanalyse für interne und Kundenanfragen - Mitarbeit an aktuellen Projekten; Abteilungsübergreifende Zusammenarbeit im Operations und mit internationalen Kollegen im IRI Netzwerk
Requirements: Immatrikulierter Student der Naturwissenschaften, Wirtschaftswissenschaften oder ähnlichen Fachrichtungen mit quantitativer Ausrichtung; Erste praktische Erfahrung in einem internationalem Umfeld wünschenswert; Erste Erfahrung in R wünschenswert; gute EDV-Kenntnisse (MS Office insb. in Excel) sowie ausgeprägtes analytisches und konzeptio­nelles Denken; Gute Englisch- und Deutschkenntnisse sowie schnelle Auffassungsgabe und Teamorientierung

Workload: 100%
Duties: The Head of Corporate Actuarial is responsible for managing all members of Corporate Actuarial; Responsible for all aspects of actuarial input for financial reporting under local statutory requirements/K-IFRS including statutory reserving of both long-term and short-term portfolios; IBNR calculations; UEPR review; Risk Loss Ratio calculations; liability adequacy testing; Prophet modeling and best estimate assumptions; Responsible for all aspects of actuarial input for financial reporting under US-GAAP (including management reporting), including long-term reporting (Active Life Reserve and the future Liability for Policyholder Benefits and DAC); Prophet modeling; Net Cost of Reinsurance; Best Estimate Assumptions and IBNR calculations for long-term and short term books
Requirements: An undergraduate degree is required; Master of Actuary, a Certified Insurance Actuary or CPA is a plus; This individual will be preferred to be a Fellow of the Society of Actuaries (FSA) or similar designation, or an Associate of the Society of Actuaries (ASA); 10+ years of progressively more responsible actuarial experience in the insurance industry; Leadership experience in a large actuarial or insurance organization

Duties: We are looking for a highly motivated software engineer looking to help bring machine learning models into production for semiconductor manufacturing. You will be responsible for designing, developing, debugging and supporting the Calibre machine learning core software. You will be teaming up with a senior group of software engineers contributing to final production level quality of new components and algorithms and to support existing components. You will be responsible for helping develop, optimize, and improve advanced models that are capable of accurately characterizing physical processes that occur during manufacturing of semiconductor chips and that are suitable to be used during the compensation framework of OPC
Requirements: MS/PhD in Computer Science, Electrical Engineering, Physics or Mathematics or equivalent combination of education and experience; Some experience and strong programming skills in C and C++ on UNIX and/or LINUX platforms; Must have the ability to collaborate closely with other members of the team and develop critical components consistently and in a timely manner

Duties: Participate in Design, development, and testing of software solutions from Quantitative Trading business requirements and/or application specifications to packaged custom software; Contribute Automation and refactoring of existing system and develop future software solutions; Assist in integrations between various internal and external systems including but not limited to SQL databases and financial analytics platforms such as Matlab, Bloomberg; Help to create technical design and support documentation as required by software development life cycle; Work with senior developers and technology leaders to create and maintain change requests and follow the change management process
Requirements: Master’s degree in computer science, Financial engineering, Financial mathematics, Risk Management, Mathematics, Quantitative finance, or related concentration; Experience or professional knowledge in quantitative analysis, statistics, financial mathematics; Understanding or experience in sql and no-sql databases such as SQL Server, Oracle, MongoDB; Experience in a scripting, objected-oriented programming languages such as C#, Python, Matlab, Go; Experience or knowledge in using development tools such as visual studio code, PyCharm; Experience or good knowledge in AWS Cloud

Duties: Support the Actuarial Transformation of the valuation system for Variable Annuities to Prophet modeling software; Support the transition of GAAP accounting guidance to LDTI, including model and system testing of Variable Annuity products; Support quarter close activities for GAAP financial reporting of Variable Annuities, including but not limited to; production run, attribution, regulatory disclosures, and sensitivity analysis; Perform Annual Assumption Review, reviewing and updating relevant assumptions and quantifying and reporting impacts; Collaborate with pricing team on launching new product development and reinsurance arrangements
Requirements: Bachelor’s degree in Mathematics, Statistics, Computer Science, or Actuarial Science with 7+ years of actuarial experience; ASA designation required; FSA preferred; Experience with Variable Annuity products required; Strong analytical, problem solving, and communication skills; Positive attitude and ability to work with others in a team environment

Duties: Sweet Briar College invites applications for a non-tenure-track Visiting Assistant Professor of Mathematics faculty position. This position has the possibility for reappointment or for appointment to the tenure-track. The successful candidate will be an engaged scholar-teacher and have a strong commitment to undergraduate education
Requirements: All but degree in an accredited Ph.D. program in a mathematical discipline, applied math or statistics; Demonstrated excellence in teaching; Demonstrated interest in working across disciplines and engaging in collaborative scholarship, teaching, and service; and; Excellent communication skills

Duties: Nach einer umfassenden Einarbeitung werden Sie selbstständig und eigenverantwortlich als Associate Consultant im Bereich der betrieblichen Altersversorgung (bAV) tätig; Sie beraten und begleiten unsere Kunden in allen Fragen rund um die betriebliche Altersversorgung; Sie führen für unsere Kunden versicherungsmathematische Bewertungen von Pensionszusagen durch und erstellen versicherungsmathematische Gutachten nach nationalen und internationalen Bilanzierungsstandards; Bei juristischen Spezialthemen zur betrieblichen Altersversorgung arbeiten Sie eng mit unserer internen Rechtsabteilung zusammen; Sie stehen von Anfang an; Ihrem Verantwortungsbereich entsprechend; gemeinsam mit unseren erfahrenen Beraterteams im kontinuierlichen Austausch mit unseren Kunden
Requirements: Wir erwarten ein erfolgreich abgeschlossenes Masterstudium der (Wirtschafts-) Mathematik, Betriebswirtschaft mit finanzwirtschaftlichem Schwerpunkt oder eine vergleichbare Studienrichtung; Sie haben Freude an der Arbeit mit Kunden und sind bereit, sich in juristische Themen einzuarbeiten; Darüber hinaus haben Sie Interesse an der IT-technischen Umsetzung mathematischer Sachverhalte; Wünschenswert sind Kenntnisse der Pensions- oder Lebensversicherungsmathematik; Sie bringen ein Grundverständnis über betriebswirtschaftliche Zusammenhänge sowie Unternehmensprozesse mit

Duties: Evaluates, processes, and analyzes high throughput datasets, including RNA, ChIP, WGBS, GWAS, eQTL, proteomics, single-cell data, etc to both well-defined and moderately complex problems; Develops algorithms, optimize and maintain analysis pipelines for reproducible analyses; Researches, employs, and customize state-of-the-air bioinformatics tools; Prepares reports and meet with collaborators to present the analytical methods or findings; Works closely with other computational and bench scientists, provide guidance to lower level analyst/programmer when necessary; Assists with drafting and completing manuscripts for publication and grand proposals
Requirements: Bachelor's degree in Computer Science, Biological Science, or a related field; Two years of relevant experience