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us: Tenure-Track Professor in Statistics

Nov

11

Sep

11

Harvard University; United States

Conduct research at the interface of statistics and AI; contribute to teaching and mentoring at undergraduate and graduate levels.

Doctorate or terminal degree in statistics or a related discipline by start of appointment; commitment to teaching and advising; submit cover letter, curriculum vitae, teaching/advising statement, research statement, service statement, names and contact information of 3-5 references, and publications if applicable; at least three letters of recommendation required, with at least one from someone who has not served as advisor; willingness to support university's policies on equal opportunity and non-discrimination.

us: Tenured Professor in Statistics

Sep

11

Harvard University; United States

The tenured full professor will conduct research in the interface of statistics and AI, teach and mentor at undergraduate and graduate levels, and contribute to the academic community.

doctorate required; demonstrated strong commitment to teaching, advising, and research; intellectual leadership; impact on the field; potential for significant contributions to the department, university, and scholarly community

ch: Dozent:in für Erziehungswissenschaften Sekundarstufe II 50%

Sep

10

Pädagogische Hochschule Zürich; Switzerland

Lehrveranstaltungen und Weiterbildungsangebote konzipieren, planen, durchführen und evaluieren; Leistungsnachweise und Prüfungen durchführen; Beteiligung an Forschungs- und Entwicklungsaufgaben innerhalb der Berufsbildung; Publikationen und Unterlagen für die Studierenden verfassen; Studierende begleiten und beraten

Abgeschlossenes Hochschulstudium mit Masterabschluss in Erziehungswissenschaften oder Psychologie und ein Lehrdiplom auf Sekundarstufe II; Mehrjährige Unterrichtserfahrung an Berufsfachschulen; Erfahrung in der Aus- und/oder Weiterbildung von Berufsfachschul-Lehrpersonen; Interesse an Entwicklungs- und Forschungsaufgaben in der Berufsbildung; Erfahrung im Projektmanagement; Gute Auftrittskompetenz und hohe Team- und Kooperationsfähigkeit; Hohe Leistungsbereitschaft und Belastbarkeit

dk: PhD scholarship in fisheries and bycatch mitigation - DTU Aqua

Sep

15

Sep

10

Technical University of Denmark; Denmark

Participate in national and EU-funded projects focusing on mitigation solutions and bycatch in fisheries impacts; explore, analyze, and publish studies on bycatch mitigation and their impact; collect and analyze field trials of porpoise behavioral studies; run fisheries impact scenarios using DISPLACE; involved in teaching and supervising student projects.

Two-year master's degree (120 ECTS points) or equivalent; M.Sc. degree in Biology, Aquatic Science & Technology or similar; familiarity with animal behavior and/or freshwater/marine ecology; experience and interest in data science and statistical analyses (preferably using R); documented interest in fisheries interactions; strong analytical skills; experience with DISPLACE; experience or interest in biological field work; proficiency in English; ability to work in teams and alone.

ch: Consultant - Deal Advisory - Valuation & Financial Modelling

Sep

8

KPMG AG; Switzerland

Conduct valuations and financial analyses, develop complex financial models, participate in engagements such as fairness opinions and valuations for various purposes, value complex financial instruments, interact with clients, cooperate closely with KPMG experts, and assist in proposal work and marketing initiatives.

Master's degree with a major in finance or accounting; first professional experience in corporate finance within an international environment is a plus; proficiency with MS Excel and MS PowerPoint is a prerequisite; strong numerical, analytical and modelling skills, sound knowledge of financial analysis and traditional valuation methods (e.g., DCF, multiples) and attention to details; knowledge of valuation methods for securities (e.g., options, derivatives), as well as modelling techniques such as Monte-Carlo simulations or lattice models, is a plus; entrepreneurial mindset and ability to set priorities in a complex and demanding environment; excellent written and verbal communication skills in French, English and German; knowledge of any other language is a plus

de: Wissenschaftlicher Mitarbeiter*in für AI for Smart Infrastructure(w/m/d)

Sep

28

Sep

8

Georg-August-Universität Göttingen; Germany

Eigenständige Forschung im Bereich KI/ML für intelligentes Katastrophen- oder Energiemanagement; Entwicklung, Implementierung und experimentelle Evaluierung neuer Methoden und Systeme; Veröffentlichung von Forschungsergebnissen; Mitwirkung an Lehre und Tutorien im Bereich Informatik; Betreuung studentischer Projekte sowie Bachelor- und Masterarbeiten; Zusammenarbeit in Forschungsprojekten mit akademischen und industriellen Partnern.

Master-Abschluss (oder gleichwertig) in Informatik, Elektrotechnik, Künstlicher Intelligenz oder verwandtem Fachgebiet; starkes Interesse und fundierte Kenntnisse im Bereich KI/maschinelles Lernen sowie deren Anwendungen; sehr gute Kommunikations- und Teamfähigkeit; Deutschkenntnisse auf C2-Niveau; verhandlungssichere Englischkenntnisse; einschlägige Forschungserfahrung und Publikationen in relevanten Bereichen sind wünschenswert; praktische Erfahrung mit Implementierung von KI/ML, digitalen Zwillingen, Simulation/Emulation und experimenteller Evaluierung, vorzugsweise in vernetzten, cyber-physischen Systemen oder verwandten Bereichen.

fr: Credit Risk Manager Intern

Sep

8

Scor; France

The intern will join the Credit Risk team, contribute to the assessment and monitoring of credit risk under the IFRS 9 framework for invested assets portfolios, analyze methodologies and models for credit risk evaluation, propose a simplified model for Expected Credit Losses, identify limitations of current frameworks, and consolidate analyses into a comprehensive research paper.

Experience in Finance or Academic research in Finance preferred; strong analytical capabilities and rigor; good interpersonal skills and multicultural awareness; good knowledge of credit risk modelling (probability of default, loss given default, exposure at default); strong interest in financial markets; open and critical mindset, curiosity, creativity, proactivity; good team spirit and ability to work with different interlocutors; culture of transparency, experience and knowledge sharing; knowledge of Python, MS Office (VBA), SQL basic, Power BI; bonus: Bloomberg, Moody’s analytics; student at top engineering school or enrolled in MSc in Mathematics, Quantitative Finance, Actuarial Science, Economics or another quantitative field; PhD students in quantitative finance research also welcome; strong interest in credit risk research and methodological work; strong writing and synthesis skills; fluent in English (written and spoken); high intellectual curiosity and appetite for rigorous analytical work;

ch: Professor:in Educational Leadership 80-100%

Oct

15

Sep

7

Pädagogische Hochschule Zürich; Switzerland

Konzeption und Durchführung von Forschungsprojekten im Bereich Educational Leadership in der Schweiz; Konzeption, Gestaltung und Mitarbeit in der Aus- und Weiterbildung von Führungspersonen in Bildungsorganisationen im Zentrum Management und Leadership (MAL); Beratung und Begleitung von Führungspersonen und Bildungsorganisationen sowie akademischem Nachwuchs; Stärkung der Forschungsperspektiven im Zentrum MAL; Vertretung des Themenfeldes und der Hochschule nach aussen (international und national, Wissenschaft und Praxis)

Einschlägige Promotion; Habilitation oder habilitationsadäquater Leistungsausweis im Themenfeld Educational Leadership erwünscht; Hochschuldidaktische Qualifikation (z. B. CAS Hochschuldidaktik oder vergleichbare Qualifikation); Ausgewiesene Forschungskompetenz inkl. erfolgreiche Einwerbung, Durchführung und Leitung von Drittmittelprojekten; Umfangreiche Publikationstätigkeit auf qualitativ hohem Niveau sowie breite Vernetzung in der internationalen Forschungsgemeinschaft des Fachgebiets; Erfahrungen in der Aus- und Weiterbildung, insbesondere in der Beratung und Begleitung von Führungspersonen in Bildungsorganisationen; Hohe Kommunikationsfähigkeit (Wissenschaft und Praxis); Bereitschaft zu enger Kooperation innerhalb der Hochschule

ch: Intern - Deal Advisory - Valuation & Financial Modeling

Sep

5

KPMG AG; Switzerland

Support the team in performing company, intangible asset, and business valuations as well as financial and market analyses; Assist with financial modelling, market research, capital market analyses, and cost of capital assessments; Contribute to valuation engagements related to M&A transactions, fairness opinions, accounting matters, tax planning, and dispute resolution; Help analyze and value financial instruments, including options, derivatives, and structured products, under the guidance of experienced professionals; Prepare research, presentations, valuation reports, and client deliverables for a wide range of projects; Collaborate with multidisciplinary teams, including transaction services, restructuring, accounting, tax, and legal specialists; Gain exposure to projects for both large international corporations and mid-market companies in a dynamic and international environment; Support business development activities, including proposal preparation, market analyses, and other marketing initiatives

Currently pursuing a Bachelor's or Master's degree in Finance, Accounting, Economics, Business Administration, or a related field with strong academic performance; Strong interest in corporate valuation, financial modelling, M&A, and capital markets; Initial experience with financial analysis and modelling through coursework, internships, student projects, or extracurricular activities; Analytical mindset with ability to work with financial data and assess complex business situations; Proficient in Microsoft Excel and PowerPoint; Strong communication and teamwork skills, with ability to collaborate effectively in an international and multidisciplinary environment; High level of curiosity, initiative, and attention to detail, with willingness to learn and take on new challenges; Fluent in German and English

us: SVP, Head of US Pricing

Sep

4

Scor; United States

Lead the US Individual and Group Life Pricing Actuarial organization; develop and execute pricing strategies for profitable growth and disciplined risk management; oversee establishment and governance of US-specific pricing assumptions; provide actuarial perspective to executive management; lead and develop a high-performing actuarial team.

Bachelor's degree in actuarial science or foreign equivalent; Fellow of the Society of Actuaries and/or Fellow of the Canadian Institute of Actuaries; 15+ years of actuarial leadership experience within life insurance and/or life reinsurance organizations; experience leading pricing functions for life insurance and reinsurance products; success managing large portfolios and driving profitable growth; deep knowledge of life reinsurance, mortality analysis, capital management, and risk assessment; expertise in U.S. statutory, GAAP, IFRS, and regulatory frameworks; experience leading and developing actuarial teams; strong client-facing capabilities and executive engagement; exceptional strategic thinking, business acumen, and communication skills; recognized leadership presence and organizational credibility.

ch: PostDoc Researcher in the area of intelligent control of networked systems

Sep

13

Sep

4

Scuola universitaria professionale della Svizzera italiana; Switzerland

Develop semantic reasoning, agentic AI, and knowledge representation techniques for industrial processes and robotics; conduct innovative research; design and implement experiments; collaborate with interdisciplinary teams; co-supervise PhD candidates and students; support the LEON team and prepare project proposals; publish research results in international conferences and journals.

PhD in Computer Engineering, Computer Science, Informatics, or a related field; demonstrated programming skills in Python and experience with semantic technologies such as RDF, SPARQL, and OWL; strong track record of scientific publications in the relevant research areas; previous experience in supervising PhD candidates and students in their thesis work; demonstrated ability to independently prepare and submit project proposals in competitive funding calls, such as EU programmers; very good communication skills in spoken and written English; ability to work in a team and in a collaborative environment; autonomy; desirable: background in semantic reasoning, agentic AI, semantic web technologies, and knowledge representation techniques; experience in research projects involving robotic systems.

lu: Research Associate (PostDoc) in Simultaneous Localization and Mapping (SLAM) and Situational Awareness for Robotics

Sep

2

University of Luxembourg; Luxembourg

Conduct cutting-edge research in perception and situational understanding, advance state-of-the-art in SLAM and situational awareness, implement and validate innovative solutions on robotic platforms, publish and disseminate research, lead project deliverables, support research proposals, mentor and supervise PhD students.

Research background in SLAM, situational awareness, robotics, computer vision, machine learning or related area; proven publications record in leading robotics conferences/journals; solid mathematical foundation; practical robotics experience; strong programming skills in Python or C++; familiarity with ROS, GTSAM, G2O, OpenCV, PyTorch or TensorFlow; prior experience in industry/publicly funded projects; strong commitment and motivation; self-initiative, creativity, curiosity, flexibility, enthusiasm; team player with leadership drive; analytical mindset; fluent English communication skills.

at: Postdoctoral Researcher (m/f/d)

Sep

28

Aug

31

Universität Graz; Austria

Independent research and publication activities in mathematics of machine learning; participation in research projects and development of new research initiatives in mathematics of machine learning, optimal transport, classification algorithms, and applications in biology and medicine; independent teaching and administration of examinations; academic and organizational support for students.

Completed doctoral or Ph.D. studies in mathematics, statistics or computer science; profound knowledge in mathematical methods, analysis and numerical aspects of machine learning, optimal transport, data science, harmonic analysis, or applications in biology and medicine; ability to integrate into the department’s research profile and contribute to interdisciplinary projects; independent working style in research, teaching, and administration; excellent written and spoken English; capacity for teamwork, organizational talent, and communication skills

ch,lu: Innovative Problem Solver – Software Engineer

Aug

31

Lifeware SA; Switzerland

Play a pivotal role in crafting smart, high-impact software solutions for clients, collaborating with clients, designing scalable architectures, and mastering both backend and frontend development.

Master’s degree or PhD in a STEM field such as Mathematics, Physics, Computer Science or Engineering; passionate about programming and willingness to learn; ability to tackle both simple tasks and highly complex projects with enthusiasm and diligence; embrace autonomy and exhibit a high degree of accountability; pride in creating finely crafted solutions; team player who enjoys collaborating with colleagues and engaging with customers; fluent in English to communicate effectively with a global customer base

at: PostDoc Position in the field of applied mathematics (m/f/d)

Sep

25

Aug

28

Universität Graz; Austria

Conduct independent research and publication activities in applied mathematics, participate in and develop research projects in mathematical image processing, inverse problems, and data science, collaborate in interdisciplinary and third-party funded projects, teach courses and conduct examinations, supervise students, manage organizational and administrative tasks.

Completed doctorate/PhD in a mathematical branch of study; solid knowledge in mathematical methods, analysis and numerics in imaging, inverse problems or data sciences; ability to integrate into the department’s research profile and contribute to interdisciplinary projects; independent working style in research, teaching and administration; excellent knowledge of written and spoken English; ability to teach in German after a 2-year transition; capacity for teamwork, organizational talent, and communication ability

us: Actuary, Financial Development Innovation

Aug

28

Scor; United States

Drive the transformation of SCOR’s actuarial modeling processes, capabilities and analytics; support model development, process improvement, and maintenance; work with various teams on business requirements and assumption updates; improve end-to-end modeling processes and input/output procedures.

Bachelors’ Degree in Actuarial Science, Mathematics, Statistics, Economics or related field with demonstrated record of academic excellence; Fellow of the Society of Actuaries (FSA) designation or equivalent; 5+ years’ proven financial modeling leadership and management experience in the insurance or reinsurance industry; experience with financial modeling, assumption updates, and cash flow analysis; deep expertise with actuarial modeling software, preferably Prophet; expertise in actuarial database software, including SQL; experience with workflow tools like Alteryx or scripting language like Python a plus; experience with BI and analytics tools, e.g. Tableau; expertise in IFRS, Solvency II or similar economic value reporting method, preferably for traditional life type products; experience with life and annuity products; strong interpersonal and communication skills; ability to work efficiently and effectively in a team setting; ability to understand complex models and perform valuation and analyses; ability to understand broader picture and impact of decisions; ability to implement and document departmental processes and controls; able to balance continuous improvement with the rigor and controls required of a valuation function.

ch: Trainee within Risk Modelling

Aug

27

Scor; Switzerland

You will be assigned specific tasks related to Internal Model development, work closely with experienced risk modellers and collaborate with stakeholders across different departments, and participate in Python-based model implementation, methodology development, analytical work, model change impact assessment and testing, as well as structured on-the-job training.

Above-average university degree (Master, PhD) in Engineering, IT, Quantitative Finance, Mathematics, Physics, Actuarial Sciences or similar; Good programming skills, preferably in Python, with interest in software engineering best practices; Familiarity with basic concepts of risk modelling, statistics and quantitative finance is an advantage; Prior experience with version control systems such as Git is an advantage; Exposure to AI-assisted software development tools (e.g. GitHub Copilot or similar tools) is an advantage; Strong conceptual and analytical capabilities, with the ability to approach tasks in a structured, goal-oriented, and independent manner; Excellent communication skills and proficiency in English, knowledge of French or German is an advantage; Global mindset, collaborative attitude and strong willingness to continuously learn and develop in an international environment

lu: Postdoctoral Researcher in Metabolomics & Lipidomics – Core Facility

Aug

26

University of Luxembourg; Luxembourg

Provide client‑oriented metabolomics/lipidomics services, method development and optimisation, instrument and workflow management, data analysis and reporting, and scientific support and collaboration within a core facility environment.

PhD in biology, chemistry, biochemistry or related discipline; strong expertise in analytical chemistry (LC-MS, IC-MS, GC-MS); hands-on experience in metabolomics, including method development and large-scale studies; experience with sample preparation from biological matrices; solid experience with computational metabolomics data analysis tools and statistics; knowledge of metabolism and life-science research; experience in lipidomics is a plus; experience with Compound Discoverer is an advantage; proteomics experience is an asset; strong service orientation; excellent organisational, interpersonal, and communication skills; ability to work independently and as part of a team; excellent command of English (C1); good knowledge of French or German (B1) is an asset.

dk: Head of Division for Wind Energy Systems Division - DTU Wind

Sep

21

Aug

26

Technical University of Denmark; Denmark

Lead and develop the Wind Energy Systems division; manage research, education, innovation, and commercial activities; oversee five heads of sections and approximately 140 employees; ensure professional development, quality assurance, resource management, and strategic development; foster collaboration across academia, industry, and society.

Excellent management and leadership skills; internationally recognized researcher and/or sector expert within the division’s focus areas; proven management experience from a medium-large organization; ability to create cohesion in the division and across the department; knowledge of the renewable energy sector and DTU’s research areas; understanding of university-level education; experience in management in a scientific or academic environment and ethical compass; result-oriented and transparent leadership style; established professional network nationally and internationally; proven track record in obtaining external funding; strong communicative skills and ability to create followship.

uk: Pricing Actuary

Aug

26

Scor; uk

Key member of the SBS & Cedant Facultative P&C Pricing and Modelling team supporting SCOR business, responsible for pricing of key individual accounts, working with Underwriters, developing and maintaining pricing models, conducting analyses, reporting, and representing the Pricing & Modelling Team on projects.

A couple years of London Market Experience; Knowledge of Microsoft Office (Proficiency in Excel); SQL, GIS and programming skills ideally in R or Python is a plus; Strong analytical skills, pro-active hands-on mentality, can-do attitude; Self-starter and solution oriented; Flexible, can adapt according to priorities; Expertise in digital technology and Data Engineering; Clear communicator, able to structure arguments and explain complex issues simply; Team player, sharing knowledge and helping to develop the team; Skills in data science, predictive modelling & analytics, machine learning, AI; Programming skills; Qualified actuary (FIA) or equivalent actuarial body qualification; Excellent academic qualifications including minimum bachelor's degree in mathematics, actuarial science, other scientific discipline, economics or finance; Advanced degree (master's or PhD) is a plus.

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