Duties: An ideal candidate will be able to apply expert knowledge and experience in Actuarial Analysis to make business recommendations for rating plan changes via regulatory filings and actively contributes to shaping pricing and product strategies. As a member of the P&C Actuarial team you will be challenged and empowered to grow professionally
Requirements: Bachelor’s Degree or higher in Actuarial Science, Math, Statistics, Data Science or related field of study; Casualty Actuarial Society Designation (minimum ACAS, preferred FCAS); 2 or more years management/supervisory experience; 5 or more years of experience in the actuarial field within the P&C insurance industry

Duties: The primary focus of this project involves both theoretical and applied work in optimal design (design of experiments) and Gaussian processes, with a specific application in epidemiology
Requirements: MSc in mathematics, statistics, computer science, biostatistics, or physics (need not be finished in the time of the application); Some experience in spatial statistics, or numerical linear algebra

Duties: As a participant in the internship, you will have the opportunity to work and collaborate with researchers within the Robotics and Artificial Intelligence Group at Luleå University of Technology in supporting developments within our research in field robotics. Duties: Supporting the group activities with hardware and software developments
Requirements: To be qualified for this position you must be a university student in the later part of your program. You have competence and experience in the domain of robotics and artificial intelligence and want to tribute to the university’s research. You must be able to express yourself both orally and in writing in English as both co-workers and research partners speak English

Department: Assurance
Workload: 100%
Duties: A career in our Financial Services Audit practice, within External Audit services, will provide you with the opportunity to provide a range of Assurance services and business advice to a variety of clients from small, fast growing clients to large entities. Our clients are often well known brands and many have broad international reach. We focus on using the latest technology to reduce the level of manual testing ensuring you’ll focus on the most valuable areas of client service and on enhancing corporate governance and the reliability of our clients’ information
Requirements: As an Intern/Trainee, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution

Workload: 80-100%
Duties: Provide guidance to national and international firms on tax implications across various business activities including mergers & acquisitions, reorganizations, financing, real estate transactions, supply chain operations, and legal, financial, and operational transformations; Assist clients in tax compliance, tax accounting, and the transformation of tax functions; Incorporate national and international tax laws into analysis and recommendations; Collaborate with interdisciplinary teams and international colleagues from diverse departments; Engage in direct communication with clients and tax authorities
Requirements: Hold a degree from a university or university of applied sciences, ideally in STEM, law, or economics; Previous experience in tax or project management is an asset; Show a keen interest in business management and tax law matters; Strong analytical, logical, and adaptable thinking abilities, coupled with a proficiency in numerical analysis; Great aptitude for process-oriented thinking, effective communication, and a passion for digital innovation; High level of customer focus, teamwork, and dedication; Fluent in both French and English; additional language skills is a plus

Workload: 80-100%
Duties: Provide guidance to national and international firms on tax implications across various business activities including mergers & acquisitions, reorganizations, financing, real estate transactions, supply chain operations, and legal, financial, and operational transformations; Assist clients in tax compliance, tax accounting, and the transformation of tax functions; Incorporate national and international tax laws into analysis and recommendations; Collaborate with interdisciplinary teams and international colleagues from diverse departments; Engage in direct communication with clients and tax authorities
Requirements: Hold a degree from a university or university of applied sciences, ideally in STEM, law, or economics; Previous experience in tax or project management is an asset; Show a keen interest in business management and tax law matters; Strong analytical, logical, and adaptable thinking abilities, coupled with a proficiency in numerical analysis; Great aptitude for process-oriented thinking, effective communication, and a passion for digital innovation; High level of customer focus, teamwork, and dedication; Fluent in both French and English; additional language skills is a plus

Department: AISEC - Applied and Integrated Security
Duties: Chip designs of new, open architectures based on the RISC-V instruction set facilitate to adapt and harden processors for embedded systems; Implementation of hardware and firmware for FPGAs and microcontrollers; Design of analog circuits, systems and algorithms for Physical Unclonable Functions, tamper detection and hardware fingerprinting; Side-channel and fault analyses in the hardware security lab; You will have various opportunities to publish your scentific results, and the possibility of working towards a doctorate
Requirements: A scientific degree (Master or equivalent) in Electrical and Computer Engineering, IT Security, Computer Science, or a related subject; New ideas that you actively contribute within the framework of industry and research projects, and ability for independent and goal-oriented work style; Interest in information security as well as research and implementation of secure embedded systems; Background in at least one of the following domains: hardware design, digital design, analog design, hardware software co-design, FPGA design, electronic measurements, circuit design, communications engineering; Background in current instruction sets and architectures of embedded processors (in particular RISC-V) preferred; Experience in IT security or cryptography (professional or private) is a plus

Workload: 40-100%
Duties: You build and extend the existing consulting business for Actuarial Services depending on your own field of expertise and business case; You acquire new projects and develop new business opportunities for your team and sector based on your market knowledge and using your network actively; You lead or support consulting projects in actuarial topics, such as finance transformation, IAS 19, ESG, reserving, implementation of tools, actuarial pricing, Swiss Solvency Test, Solvency II, ORSA or responsible actuary mandates; You are ready to collaborate in a broad range of interdisciplinary projects within the insurance sector and cross sell your market experience or support the governance, risk and compliance advisory team and the management consulting team; You share your knowledge; you lead and develop the actuarial team members. You continuously develop your technical knowledge and soft skills with on and off-the-job training
Requirements: Your insurance knowledge and network focuses on the Swiss market. Knowledge of regulatory and accounting frameworks and requirements (e.g., IFRS 17, local accounting standards, SII, SST) as well as actuarial modelling (e.g. Python, VBA, R, C++) are an advantage; You are an entrepreneurial spirit, preferably with a network extending to the Romandie and ready to contribute to building and expanding our consulting service offerings and to work interdisciplinary on a wide range of projects; You have several years of work experience with focus as an actuarial consultant and are a qualified actuary (SAV, DAV or equivalent); You are fluent in English and German and preferably French at a conversational level

Duties: The Electrical Engineering and Computer Science (EECS) department at the Milwaukee School of Engineering (MSOE) seeks applicants to fill one or more Computer Science Faculty positions at any rank to support a cutting-edge online Master’s program in Machine Learning. This candidate may also teach courses in our undergraduate Computer Science or Software Engineering programs and advise capstone and research projects
Requirements: Candidates with expertise in Applied Machine Learning, Adversarial Machine Learning, Deep Learning, Generative AI, Tiny ML, Data Science, AI Platform Software, Data Engineering, or Cloud Computing are highly encouraged to apply, though expertise in any domain will be considered; Must have a Doctorate by the beginning date of the appointment (Fall 2024)

Duties: The Department of Statistics at the University of Georgia (UGA) invites applications for the position of Associate Director of the Statistical Consulting Center (SCC), starting July 1, 2024. This is a 12-month fulltime non-tenure-track position at the rank of Academic Professional Associate or Academic Professional (in the case of highly-qualified candidates) with a career ladder. See the UGA’s Guidelines for Appointment and Promotion of Academic Professionals for more information about each rank
Requirements: Applicants must have a Ph.D. degree in statistics, biostatistics, data science, or a related discipline by the time of appointment

Duties: Candidates are expected to sustain an active, externally funded research program, to engage undergraduate and graduate students through effective teaching, and to participate in service to the University and the profession. Candidates should be able to work effectively in a team environment. To advance scholarly innovation and excellence, we especially welcome candidates who will broadly increase the university’s diversity, equity, and inclusion through any of the following: their lived experience, research, teaching, and/or mentoring
Requirements: Candidates must hold a Ph.D. in Informatics, Bioinformatics, Biology, Public Health, or a closely related field (e.g., Science and Technology Studies, Epidemiology, Psychology). A firm commitment to the role of diversity in all aspects of research, education and service is essential

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

Duties: This position will work under minimal supervision of the faculty. They will participate in study and survey design, data collection, data management, data analysis, preparing IRB applications, grant preparation, and manuscript preparation
Requirements: Master's degree in Statistics, Biostatistics, Biometry, Mathematics or related field

Duties: The Department of Linguistics at University of Florida invites applications for a Visiting Assistant Professor in the areas of syntax and semantics beginning August 16, 2024. This is a 9-month, full-time, non-tenure-accruing, appointment with a 2/2 course assignment. Expertise in syntax and semantics is required and additional expertise in field methods and morphology is welcome. Participation in department life and appropriate department service are also expected
Requirements: A Ph.D. in linguistics or be in their final year of Ph.D. study

Duties: Visiting Assistant Professor/Instructor in Mathematics to teach courses in Mathematics at the undergraduate level. Position begins August 19, 2024. The position is renewable for up to five years, contingent on performance and funding
Requirements: Ph.D. in Mathematics

Duties: The Department of Mathematical Sciences within the School of Natural Sciences and Mathematics (NSM) at The University of Texas at Dallas invites applications for multiple tenure-track faculty positions at the Assistant Professor level in the following areas: Mathematics; Statistics; Data Science
Requirements: A PhD or equivalent in Mathematics, Statistics, or a related discipline is required prior to employment; those with ABD status will be considered at the application/interviewing stage

Duties: This is a 9-month tenure track appointment with expected research (45%), teaching (50%), and professional service (5%) responsibilities at the Assistant Professor level in the Warnell School of Forestry and Natural Resources at the University of Georgia (UGA). This position will focus on the use of contemporary and advanced forest biometric methods to quantify and improve forest management through modeling, with an emphasis on pine plantations in the southern U.S
Requirements: Prior to appointment, applicants must have a Ph.D. in Forest Biometrics, Forestry, or a closely related field

Duties: Quantum communication/Quantum key distribution/Quantum networks; Development of testbeds for quantum communication; Experimentation equipment of quantum communication infrastructure; Free space optical communication; Fiber optics/photonics/optoelectronics; Statistical signal processing; Physical layer security; Machine learning and artificial intelligence applied to quantum communications
Requirements: The candidate should possess a Master in Engineering (M.E. or M.Sc.) degree or equivalent in Engineering, Computer Science, Applied Mathematics, Applied Physics, and an experience in a number of the following topics: Development, deployment, and contruction of laboratory testbeds; Laboratory Instrumentation; Knowledge of photonics and optics is highly valuable; Knowledge of Linux; Network management; Optical fiber connectivity (Patching, Mux/Demux); Web API management and GUI development

Duties: This PhD will focus on applying model-based RL technics to increase the autonomy of space robots for near-field operations
Requirements: The candidate should possess an MSc degree or equivalent in Computer Science, Data Science, or Robotics engineering

Duties: Un/una docente in didattica delle scienze naturali presso il DFA/ASP opera di regola sia nella formazione di docenti generalisti (scuola dell’infanzia e scuola elementare) che in quella dei docenti specialisti (docenti di scienze naturali presso la scuola media e docenti di biologia, chimica o fisica delle scuole di maturità), nonché nella formazione continua dei docenti di ogni ordine e grado. Attraverso la realizzazione di corsi teorici e applicativi e attraverso le visite nelle pratiche professionali, prepara i docenti generalisti di scuola infanzia e di scuola elementare allo studio dell’ambiente in una prospettiva sistemica e interdisciplinare, rispettivamente a progettare e realizzare attività d’insegnamento e apprendimento in scienze naturali nella scuola media o delle discipline scientifiche nelle scuole di maturità (per i docenti specialisti). Inoltre, in collaborazione con i colleghi e le colleghe del Laboratorio MEM e di altri centri di ricerca del DFA/ASP e della ...
Requirements: Master nell’ambito delle scienze naturali. Il titolo PhD in ambito delle scienze naturali o della didattica delle scienze naturali o ambiti affini con laboratorio MEM costituiscono titolo preferenziale; Abilitazione all’insegnamento riconosciuta dalla CDPE per la scuola dell’obbligo o le scuole di maturità o un’abilitazione per le scuole professionali rilasciata dalla SUFFP; Esperienza pluriennale di insegnamento; Spiccato interesse per i temi della formazione e dell’educazione; Esperienze professionali in qualità di formatrice/tore di docenti, di docente di pratica professionale e/o di esperta/o costituiscono titolo preferenziale; Ottima conoscenza del sistema scolastico e accademico ticinese e svizzero

Duties: ENSI is responsible for the supervision of Swiss nuclear facilities, i.e. the nuclear power stations, the interim storage facility for radioactive waste, the nuclear research facilities at the Paul Scherrer Institute (PSI) in Villigen and the Ecole Polytechnique Fédérale in Lausanne. Its regulatory remit covers the entire life of a facility, i.e. from initial planning, through operation to final decommissioning including the disposal of radioactive waste
Requirements: We crawl all higher jobs in research, teaching and administration at ENSI automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: With guidance, you will lead biostatistical analysis and reporting, document review and data inclusion for NDA submissions of assigned studies by collaborating with cross-functional partners to meet clinical development project deliverables and timelines. This may include, but is not limited to, providing statistical consultation on clinical development plans, clinical trial design and clinical study endpoints, calculating sample size, authoring statistical analysis plans and providing biostatistical input into clinical development documentation, scientific publications and presentations, and regulatory filings. Dependent upon the area of assignment, you may lead projects or other activities that are non-molecule based, such as Biostatistics tools, programming, centralized analyses and reporting, etc
Requirements: PhD in biostatistics or related discipline with relevant experience in statistical analysis of biomedical data using SAS software in the biopharma industry, healthcare, consulting, academia or a related environment. PhD with 2+ years’ biostatistics experience is preferred; MS in biostatistics or related discipline with 6+ years’ relevant experience in statistical analysis of biomedical data using SAS software; Multiple years’ biostatistics or related experience, including experience effectively leading small projects and project teams; Significant biomedical statistical analysis experience and experience working with relevant software

Duties: Collaborates in design of innovative and efficient clinical trials, including the selection of study population/endpoints to address study objectives, and contributes to project development strategy; Defends protocols and analysis plans at internal governance reviews and provides independent reviews of complex protocols; Independently authors and/or reviews protocol, statistical analysis plan, clinical study reports, associated publications, and other study level documents; Presents summary data and analyses results, in a clear, concise, complete, and transparent manner; Provides statistical support and leadership to address health authority request, publication, presentation, and other public release of information
Requirements: PhD (6+ years’ experience) or MS (8+ years’ experience) in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience; Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation; Great interpersonal, communication, writing and organizational skills; Expertise in statistical/clinical trials methodology as it related to clinical development and ability to apply to relevant clinical development framework

Duties: Provide expert statistical consultation and strategic leadership from plan to execution during all Phases of drug development. Provide directions to statisticians on statistical and programming principles and methodology. Responsible management of administrative and scientific activities of Biostatistics group. Lead and implement valid and innovative study design, analysis and reporting of clinical study results. As a formal member of a cross-functional clinical drug development team, lead and plan clinical drug development programs
Requirements: MS or PhD in Statistics, Biostatistics or related field with 10+ years related experience; Strong oral and written communication skills and leadership capability; Communicate and manage effectively throughout all levels of the organization

Duties: Contributes to the efficient planning, execution and reporting of clinical/observational studies, post hoc analyses, HTA analyses, regional analyses, PK-PD and Biomarkers analyses; Translates scientific questions into statistical terms and is responsible for the quality and timeliness of corresponding statistical deliverables
Requirements: PhD or M.S in Biostatistics, Statistics or related scientific field; 3+ years (6+ years for MS) of experience in applying statistical methods in biomedical research, Pharma, CRO, Academia or Healthcare industry or in providing statistical direction in these areas