Workload: 100%
Duties: You will work in interesting and leading-edge SAP S/4HANA business transformation programs, analyzing our clients'supply chain processes and advise on the design and implementation of SAP solutions; We need you to have experience across two or more supply chain areas in SAP: Demand and Supply Planning, Purchasing, Manufacturing, Inventory Management, Warehouse Management, Logistics Execution, Distribution, Transportation; Strong knowledge of integration points with SAP's financial modules is a must; You will lead and support the day-to-day activities of SAP advisory engagements and be responsible for successful delivery of projects and solutions at KPMG quality; You support the growth agenda of the SAP team, taking a leading role in the Supply Chain domain by sharing knowledge, showing thought leadership and developing and supporting the career aspirations of team members; You leverage your strong subject matter expertise to strengthen the global KPMG network of SAP experts and suppor...
Requirements: University degree, ideally with strong focus in business informatics supply chain management, and/or business administration; More than 10 years of experience in business process consulting and implementation of SAP Supply Chain solutions; Excellent understanding of SAP functionality and processes across multiple Supply Chain areas, supported by strong project management skills; Work independently by taking ownership and responsibility. At the same time being a team player and jointly take part in our success; Willingness to travel; Fluent in English, as well as fluent in either German OR French

Workload: 100%
Duties: You will work in interesting and leading-edge SAP S/4HANA business transformation programs, analyzing our clients'supply chain processes and advise on the design and implementation of SAP solutions; We need you to have experience across two or more supply chain areas in SAP: Demand and Supply Planning, Purchasing, Manufacturing, Inventory Management, Warehouse Management, Logistics Execution, Distribution, Transportation; Strong knowledge of integration points with SAP's financial modules is a must; You will lead and support the day-to-day activities of SAP advisory engagements and be responsible for successful delivery of projects and solutions at KPMG quality; You support the growth agenda of the SAP team, taking a leading role in the Supply Chain domain by sharing knowledge, showing thought leadership and developing and supporting the career aspirations of team members; You leverage your strong subject matter expertise to strengthen the global KPMG network of SAP experts and suppor...
Requirements: University degree, ideally with strong focus in business informatics supply chain management, and/or business administration; More than 10 years of experience in business process consulting and implementation of SAP Supply Chain solutions; Excellent understanding of SAP functionality and processes across multiple Supply Chain areas, supported by strong project management skills; Work independently by taking ownership and responsibility. At the same time being a team player and jointly take part in our success; Willingness to travel; Fluent in English, as well as fluent in either German OR French

Workload: 100%
Duties: Work in a fast paced, manage projects in a driven environment, grasp new technology, and contribute at a rapid pace; Research, experiment, and utilise leading Big Data, Machine Learning platforms and other emerging technologies to add business value; Technically and professionally, you will manage and support investigation teams in the organization of special forensic investigations; Contribute your knowledge actively to the design and implementation of data analyses for the detection and prevention of white-collar crime; Utilise technical and industry knowledge to identify complex client issues and build long-term business relationships with key executives through engagement delivery and networking in professional organisations
Requirements: You have a Bachelor's or Master's Degree in Data Science, economics, finance or a comparable course of study; You bring along a minimum of 8 years consulting experience; You are fluent in English; German and French are considered an asset; You are experienced in the field of Forensic, Forensic Technologies, Forensic Data Analytics, eDiscovery, Incident Response, etc; Extensive experience in data analytics with any of the following software: IBM SPSS, Alteryx, Rapidminer, Python; Design and develop analytics solutions for analyzing vast datasets (Hadoop, Hive, Spark), developing models, forensic analytics tests and deploying dynamic dashboards (Tableau, PowerBi); ACA/ACCA qualified (or equivalent), or relevant work experience; Knowledge of extraction and analysis of data from ERP systems such as SAP and Oracle Financials; Statistical, predictive modelling techniques and unsupervised pattern detection (regression, clustering, decision trees, neural networks, etc); Working knowledge and ...

Workload: 100%
Duties: Support KPMG in delivering complex business centric data migrations for our clients; Act as Subject Matter Expert for migration topics; Lead the planning, management and execution of migration cutover events, covering both business and technology aspects; Lead migration workstream for large-scale programs in the financial services industry
Requirements: Background in computer science or business information systems; Migration experience and knowledge of migration strategies and approaches as well as their processes; Proven experience in technical projects (e.g. software projects, customer/data migrations); Good understanding of IT platforms within banking and their structure; In-depth knowledge of selected product/business areas (e.g. trading, loans, customer data models/CRM); Ability to work with senior stakeholders; Strong ethical behaviors and high integrity, which align with KPMG's vision and aspirations

Workload: 80-100%
Duties: Weiterentwicklung des Instrumentariums für datenbasierte und teilautomatisierte Aufsicht; Datenanalyse und Visualisierung mit Fokus auf quantitative Analysen; Mitarbeit bei der Weiterentwicklung der Tools für die simulationsbasierten Solvenzberechnungen; Mitarbeit bei der Betreuung von Versicherungsunternehmen bezüglich SST-Aspekten. Beantwortung von SST-Anfragen; Mitarbeit bei der stetigen Weiterentwicklung und Pflege der Standardmodelle und dazu passender Aufsichtstools (inklusive IT-Implementierungen) in der Versicherungsaufsicht
Requirements: Hochschulabschluss im quantitativen Bereich (Mathematik, Statistik, Data Science, Informatik, Physik); Sehr gute Kenntnisse der Programmiersprachen wie R, Python, ggf. Matlab sowie sehr gute IT-Umsetzungskompetenzen; Erste Berufserfahrung im quantitativen Risikomanagement (Praktikum, Doktorat/Postdoktorat); Erfahrung in der Datenverarbeitung/-analyse sowie in der Aufbereitung und Berichterstattung von Ergebnissen von Vorteil; Erfahrungen mit dem SST sowie Kenntnisse in statistischen Verfahren wünschenswert; Vernetztes Denken sowie zuverlässige, systematische und selbständige Arbeitsweise; Ausgeprägte Eigeninitiative und Kreativität sowie Freude an der Zusammenarbeit im Team; Sehr gute Deutsch- oder Französischkenntnisse (C2) und gute Kenntnisse der jeweils anderen Sprache (B2) sowie gute Englischkenntnisse (B2)

Duties: AEE - Institute for Sustainable Technologies (AEE INTEC) was founded in 1988 and is today one of the leading European institutes of applied research in renewable energy and resource efficiency. In the three target group areas "Buildings", "Cities & Grids" and "Industrial Systems" as well as three technological working groups "Renewable Energies", "Thermal Storage" and "Water and Process Technologies", the R&D projects carried out range from basic research projects to the implementation of demonstration plants
Requirements: We crawl all higher jobs in research, teaching and administration at AEE INTEC automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Das Universitäts-Kinderspital beider Basel (UKBB) ist ein eigenständiges, universitäres Kompetenzzentrum für Kinder- und Jugendmedizin sowie für Lehre und Forschung. Als eines der drei selbständigen Kinderspitäler der Schweiz spielt das UKBB eine zentrale Rolle bei der Sicherstellung der kantonalen, regionalen und überregionalen kinder- und jugendmedizinischen Gesundheitsversorgung
Requirements: We crawl all higher jobs in research, teaching and administration at UKBB automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Requirements: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Duties: Lead and individually contribute to data science and machine learning R&D projects; Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems; Interview candidates for open positions on our team; Lead and contribute to projects from early-stage research through development, in consultation with stakeholders; Provide technology leadership to yield innovative differentiating solutions; Implement and optimize state-of-the-art algorithms in distributed environments
Requirements: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; proficient at implementing, and evaluating accurate and scalable solutions to business problems; Proven ability to lead development projects from conception through deployment; Proven ability to lead and conduct research projects; 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms

Duties: The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes in a military medical research setting. While the primary task for the Bioinformatics Engineer is to assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing
Requirements: Candidates must have completed a Bachelor’s or Master’s degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area; Candidates must have at least 2-4 years of hands-on experience in Bioinformatics; Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio; Maintain a familiarity with next generation sequencing and microarrays

Duties: Develop and implement machine learning algorithms to solve business problems; Design and implement scalable data processing and machine learning pipelines; Collaborate with product, engineering, and data teams to identify machine learning opportunities; Evaluate and improve the performance of machine learning models; Stay up-to-date with the latest developments in machine learning research and apply them to real-world problems; Write clean, scalable, and maintainable code; Communicate technical concepts and ideas to both technical and non-technical stakeholders
Requirements: PhD or Masters's Degree in Computer Science, Mathematics, or Statistics a similar technical field of study with a specialisation in Machine Learning, Data mining, Information Retrieval or Data science; 10+ years of industry experience in building production-grade machine learning systems with all aspects of research, model training, tuning, deploying, serving and monitoring. Industry experience in ecommerce, recommender systems, digital marketing or two-sided marketplaces is a plus

Duties: Improve existing pipelines for content acquisition; Develop, train, and validate machine learning models to target various use cases for biological literature; Use a variety of NLP libraries and techniques for entity recognition and relationship extraction; Contribute to quality control and reliability efforts for our processes, pipelines, tools, and models that support development, build, and maintenance our biological content
Requirements: Graduate degree in bioinformatics, computer science, or related field combined with 5-8 years of experience in NLP engineering; Proficiency inJava or Python and a demonstrable ability to quickly learn; Solid understanding of the deep learning ecosystem; Experience with machine learning algorithms and frameworks such as PyTorch or Tensorflow; Experience with word embeddings and language models such as Word2Vec or BERT

Duties: für Studierende und Absolventen, Erfahrene; alle Disziplinen
Requirements: kann auch für Stellengesuche verwendet werden

Duties: The Swiss National Science Foundation (SNSF) funds excellent research at universities and other institutions; from chemistry to medicine to sociology. Thousands of teams are generating knowledge for a better future for all. Together with our partners, we play a key role in shaping research in Switzerland
Requirements: We crawl all higher jobs in research, teaching and administration at SNF 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: Individually contribute to data science and machine learning R&D projects; Use your data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems; Contribute to projects from early-stage research through development; Implement and optimize state-of-the-art algorithms in distributed environments; Develop an understanding of Epsilon PeopleCloud Digital Media Solutions personalization platform and proprietary datasets; Participate fully in our collaborative approach to research and applications projects
Requirements: Ph.D. in a computational, mathematical, engineering, or scientific field; Fluency in computer programming, data structures, and algorithm design; Proven analytic and modeling skills; Proven ability to conduct research projects; Research experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms

Duties: Design, prototype, implement, evaluate, optimize and monitor machine learning algorithms and related software systems to generate sports data and insights with high accuracy and low latency; Build, test, deploy and maintain production systems; Maintain and promote best practices for software development, including deployment process, documentation, and coding standards; Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company
Requirements: BSc or MSc or equivalent experience with a strong software engineering component; Experience with deep learning and some of the languages and technologies in our stack; Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback

Duties: Conduct end-to-end computational analyses of single cell and spatial transcriptomics data; Contribute to establishment and maintenance of single-cell and additional bioinformatics processing pipelines; Implement tools for cross-dataset and multi-omics data harmonization, integration, and visualization; Develop and implement innovative computational biology algorithms and data science approaches towards identification and in-silico validation of novel immuno-oncology targets and biomarkers; Advance analytics support for in-vitro and in-vivo validation of drug targets, mechanism-of-action (MOA) analysis, patients’ stratification and biomarkers discovery
Requirements: Ph.D. or equivalent hands-on years of experience in Bioinformatics/Computational Biology & Data Sciences; Strong programming and data science skills (Python or R preferred); Hands-on experience in data analysis workflows of RNA-Seq and single-cell RNA-Seq; Ability to propose and carry out independently computational biology research projects; Demonstrated impact via the development of novel innovative algorithms/analyses and the adoption of available open source or licensed solutions

Duties: Develop long term strategy for scaling the routing and delivery optimization systems; Lead the team in model and algorithm development by taking business requirements and complex problem statements, and clearly defining data science/statistical projects; Develop and operationalize machine learning and science-based tools/models iteratively to support growing business use cases and complexity; Develop and deliver on key performance indicators for financial impact, customer impact, labor impact, and more
Requirements: 8+ years in routing, optimization, machine learning, data science, and/or engineering positions in top CPG, retail, or e-commerce organizations; 5+ years’ experience managing people and leading a team of leaders; An advanced degree (M.S., Ph.D., or equivalent experience) in Statistics, Applied Mathematics, Engineering, Computer Science, or related field; Proven experience with bringing structured thinking in ambiguous problems spaces and delivering solutions; Experience with machine learning and advanced optimization methodologies

Workload: 80-100%
Duties: Perform IT audit, assurance and regulatory mandates for a multinational client portfolio of banking, asset management and insurance clients; Analyze risks and IT processes in a heterogeneous client environment to provide recommendations and improvement points in our clients'processes; Work in close collaboration with international and multidisciplinary account teams; Participate and contribute to the Swiss and international Financial Services KPMG network and build a personal external network in the Swiss Financial Services market; Support and further develop Financial Services audit, regulatory and assurance solutions by continuously seeking and driving improvement and innovation; Work as an independent team member and be a mentor for junior staff
Requirements: Degree level education (e.g. business informatics, business administration or likewise); At least 2-3 years of professional experience in the field of IT Audit, business processes and design/review of risk and control procedures; Experience with Financial Services and/or Corporate clients (preferably with Big4 history); Know-how with FS regulatory work would be an asset; Willingness and ability to travel domestically and abroad occasionally; Excellent social and communication skills; Independent working style and positive attitude; Fluent in both German or English is a mandatory requirement

Duties: Conceive, develop, and deploy robotic and automation software solutions for advanced manufacturing applications and perception-driven solutions; Design, build, debug and implement robotic and automation solutions. Spec, develop pipelines, and implement on hardware perception and perception enabled solutions for high mix environments; Develop and test advanced software solutions for manufacturing and industrial processes and technologies; Assist in preparing proposals and cost estimates. Meet with customers to promote new business and develop technical requirements
Requirements: Requires a Bachelors, Masters, or a PhD in Robotics, Mechanical Engineering, Electrical Engineering, Software Engineering, or Computer Science or similar (PhD requires 0 years, MS requires 1, and BS requires 2); 2 years experience: Development of electromechanical and robotic systems from concept to deployment (full spectrum of robotic solution development); Development work using C, C++ or python

Duties: Perform engineering design and analysis of complex fluid flow systems in support of validation testing or other research studies for external and internal customers; Use of Creo and/or SolidWorks preferred; Conduct evaluations and reviews of system designs with a mind for safe operation of high temperature/pressure systems; Communicate with clients to arrange for conducting experiments and testing including quoting/bidding the cost to test based on their requirements; Coordinate with the team of engineers and technicians to execute all preparation, safety assessment, setup, testing, and data processing tasks needed for each project; Ensure strict adherence to test procedures and safety protocols to maintain compliance with the Quality Management System, and work with the team to document and close any non-conformances
Requirements: Requires a Bachelors in Mechanical Engineering or directly related engineering degree; summer internship or undergraduate research in the area of: petroleum systems, complex fluid flow systems, fluid rheology or similar field

Department: Advisory
Workload: 100%
Duties: A career within General Consulting services, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage
Requirements: As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution

Duties: Computer simulations of materials under shock and impact; Testing of materials with MTS, Hopkinson Bar, Plate Impact, ballistic impact, etc; Develop algorithms in MatLab, Python, FORTRAN, or similar for high strain-rate applications; Use of lasers in various applications; Use of digital image correlation
Requirements: Requires a PhD in Mechanical Engineering, Materials Engineering) or Nuclear Engineering; Previous experience with computer codes applied to impact problems is a plus

Duties: Develop models for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop and validate simulations for control strategies for fluid thermal systems using 1D finite volume of finite element principles. This may include the use of off the shelf software such as Hysys, NPSS, or fluent; Develop improved or optimized piping system designs/improvements for existing or planned systems based off of model feedback; Run cycle analysis and optimize cycles for refrigeration and power generation
Requirements: Requires a Bachelors, Masters or a PhD in Mechanical Engineering. experience in Thermal fluid system modeling and control background. Graduate experience in developing model and control algorithms for thermal fluid piping systems is preferred

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL