Duties: An important focus of the position is to develop and lead a research team focused on applying quantitative tools (e.g., statistics, machine learning, optimization, simulation) to healthcare delivery, healthcare operations and healthcare management as well as medical decision support. Your role is to build, extend and collaborate with hospitals and regional authorities, the healthcare industry, and interdisciplinary research teams. Through this, you will help to shape the faculty’s strategy in health-focused quantitative research and innovation
Requirements: As our new professor, you will be instrumental in advancing our department's teaching and research in healthcare analytics and management science. We are looking for candidates in industrial engineering, operations research, computer science, economics, or a related field. You must have demonstrated track record with publications in recognised and leading journals based on experience in developing and applying advanced analytical methods. We focus on strong expertise in mathematical modelling, optimisation, machine learning, and data-driven decision-making

Duties: Development support of our Workiva Global-to-Stat (GSR) solution for financial reporting, compliance and audit; Implementation support of Workiva Wdesk, Wdata and connected reporting solutions; Extract, transform, and load financial data between Workiva and internal/external databases; Development support of Workiva scripts using Python or Workiva's API for automation, data validation and integration; Provide training and support on Workiva functionalities to finance and accounting teams
Requirements: Bachelor of Science in Informatics (BSc) or equivalent; 2-3 years of experience in accounting, financial reporting, or related IT/finance role; Strong knowledge in SQL, Python, JavaScript, or API integrations; Strong MS office knowledge, especially Excel; Experience using different ERP systems such as (e.g. SAP, Oracle, ABACUS and NetSuite, etc.) and data visualization tools (Power BI); Ability to communicate complex financial and technical concepts effectively; Proactive, independent self-learning and creative mindset; Passion for automation, innovation, and process optimization in finance

Duties: Be a part of the Global Center of excellence of Corporate Treasury and support projects around the globe to implement state of the art SAP Treasury solutions; Lead the design, configuration, and implementation of SAP Treasury & Risk Management (TRM) solutions for global clients; Advise clients on best practices across Cash and Liquidity Management, In-House Cash (IHC, IHB), Bank Communication Management (BCM), Treasury and Risk Management, and integration with core Finance (FI) and other SAP solutions including usage of AI in SAP applications; Manage project teams, oversee deliverables, and ensure high-quality client outcomes; Develop strategic roadmaps for treasury transformation, often as part of large-scale SAP S/4HANA programs; Support business development through proposal creation, client presentations, and pre-sales activities; Mentor junior consultants and contribute to building internal capabilities in SAP Treasury
Requirements: Bachelor's or Master's degree in IT, Business Administration, Finance or comparable education; At least 6 years of professional experience with SAP Treasury solutions; Experience with SAP S/4HANA; Open and communicative person who is eager to develop projects and client relationships; Proficient English skills; Committed, convincing and entrepreneurial personality

Duties: Play a key role in large-scale client engagements primarily related to SAP programme and SAP enabled business transformation, as well as conceptual advice throughout the implementation cycle; Identifying key client process and technology issues and recommending solutions; As an IT advisory subject matter expert you work closely with our Financial Management team on developing high-end finance solutions and participate in large finance transformations; Actively support relationship development across our clients, market and vendor communities; Supporting development of proposals for national and international clients; Promote knowledge sharing with and training of other colleagues; Leverage your strong SAP subject matter expertise and strengthen the international KPMG network of SAP experts
Requirements: University degree, ideally with strong focus in business informatics and/or business administration; 3-4 years experience in SAP consulting, preferably at a system integrator and/or an international management consultancy firm; SAP subject matter expertise in the Financial and Controlling domains; Excellent business process know-how and knowledge of the translation/implementation of these processes in SAP; Up to date with newest developments in the SAP Finance domain (S/4HANA Finance); Experience in dealing with international clients; Willingness to travel; Fluent in English, German is a valued asset

Duties: Identify and engage new clients, using GenAI as a strategic entry point, and expand our footprint within existing accounts; Build trusted relationships with tax decision-makers (e.g., Heads of Tax, CFOs, in-house tax experts) in corporations with international reach; Lead business development activities from prospecting through to deal closure; Promote and implement our proprietary DG GenAI tool and other applied AI solutions for Tax & Legal, tailoring use cases to client needs; Support clients in identifying, documenting, and realizing GenAI opportunities across the full range of Tax & Legal applications; Collaborate with global technical teams and subject matter experts to adapt and deliver AI solutions; Provide structured market feedback to inform ongoing AI solution development; Represent the company at industry events, webinars, and in publications-strengthening our position as a thought leader in AI for Tax & Legal; Contribute to making AI work both for our clients an...
Requirements: Proven experience in business development, with a focus on acquiring new clients and expanding existing accounts in the Tax & Legal sector; Strong sales acumen with the ability to leverage AI solutions as strategic entry points for client engagement and relationship building; Demonstrated ability to build and maintain relationships with key decision-makers, such as Heads of Tax, CFOs, and in-house tax experts in multinational corporations; Degree-level education required; Experience in tax technology with proficiency in customizing digital assets/tools to meet business needs within the tax services industry; Strong interest and eagerness to apply cutting-edge technologies in the tax domain, particularly AI-driven solutions; Understanding of data management principles and practices, with the capability to design and implement data product frameworks and integrated data hubs is nice to have; Experience in utilizing established Microsoft tools (e.g., Power Platform or Azure AI) to dri...

Duties: Cybersecurity is vital for democracy, for people’s safety and the proper functioning of public (e.g., hospitals) and private institutions (e.g., banks). Effective cybersecurity requires expertise both in social and in technical domains as cyberattacks target not only computers (e.g., malware) but also people (e.g., phishing). Furthermore, cybersecurity in organizations involves a team of experts who need to coordinate to effectively prevent, protect and respond to cyberattacks. The goal of this interdisciplinary project is to study, measure and improve cybersecurity teams’ preparedness and resilience to different forms of cyberattacks. The project will develop and scientifically test cyber range and cyber war exercises for teams, develop metrics to objectively quantify cybersecurity preparedness levels, and explore innovative way to improve preparedness (e.g., via game-based training interventions using AR/VR)
Requirements: A Master in Cybersecurity or equivalent degrees with expertise in cybersecurity assessment or a Master in Experimental Psychology, HCI, UX or related fields; Experience with research methods in social sciences (e.g., empirical research, experiment design); Experience in statistical methods is considered a strong asset; Experience with cybersecurity and programming

Duties: This PhD project aims to develop an analysis tool for the optical ground-to-satellite links and vice versa. In this context, key performance indicators of various modulation types will be analyzed considering the variations in the zenith angle and the atmospheric conditions. The project aims to develop a simulator to combine all the analyses; The position holder will be required to perform the following tasks: Carrying out research in the predefined areas; Disseminating results through scientific publications; Communicate and interact with the partner’s team to collect requirements and report results; Implement and open-source proof-of-concept software tools; Collaborate with other researchers of the program
Requirements: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. The ideal candidate should have some knowledge and experience in a number of the following topics: Turbulence modeling with wave propagation simulations; Modulations used in optical wireless communications; Data Analysis and Management; Implement and open-source proof-of-concept software tools; Machine learning is a plus

Workload: 100%
Duties: Support in the delivery complex OT security transformation projects to global manufacturing, pharma or critical infrastructure organizations; Analyse, define and implement new structures for existing OT Firewall VLAN's to ensure they align to defined internal segmentation principles; Work with Manufacturing Sites, Engineering and IT teams to analyse and build resilience with existing OT architecture; Develop & implement secure reference architectures for standard services and applications within the OT environment; Advise clients on how to deploy security technology within OT environments; Support clients with the analysis of OT incidents through investigation and technical analysis such as PCAP; Keep abreast with the latest technology trends and predictions in the OT and Manufacturing world
Requirements: Experience working with ICS technologies and/or environments on one or more of the following: SCADA, DCS, EMS, DMS, ADMS, PCN, RTUs, IACS, PLCs, HMIs, etc. Manufacturing Execution Systems (Data historians, EBR, OEE, SAP); knowledge of Industry standards such as ISA Standards (ISA 99/IEC62443, S95, S88) and Communication networks and protocols (Serial, Profibus, Ethernet); OT Cybersecurity Experience or as Automation/Controls Engineer/OT Network Engineer within Manufacturing or Critical Infrastructure environments; Experience deploying and managing leading OT security tooling and solutions and the Ability to drive the creation of prototypes and proof of concepts for clients; Expertise in securing OT network architecture; Excellent presentation, written and verbal communication skills; ability to clearly communicate and excellent consulting skills; Ability to interact with technical experts and decision makers; Fluent English, additional languages a bonus

Duties: Analytics Product Shaping. You engage directly with business product owners and business users to develop an understanding of their process and how data & analytics can be used to generate value for their areas; Palantir Foundry Implementation. You leverage the data in our data platform, transforming it to fit your use case, and build dashboards as well as workflow applications that provide insights towards the business; Agile Delivery. You work with data engineers, product leads and business stakeholders in a cross-functional scrum team, leveraging modern product management techniques to quickly build valuable products incrementally
Requirements: You love working with data and have 5+ years of experience both in the building of high-impact data assets as well as applications. You have experience writing high-quality code with Python, Spark and/or SQL; Deep experience working with Palantir Foundry stack

Duties: EMEA audit assignments: preliminary risk assessment, documents review, production of surveys and; summary memos, transaction testing and result analysis, working papers documentation (in English), …; Global Follow up: contribute to the recommended corrective actions quarterly follow up analysis; Department’s initiatives: contribute to these initiatives when needed
Requirements: Currently in master 1 or 2 or equivalent in business management, with a specialization in audit and accountancy, information systems or insurance, you are looking for a 12 (from master 2) or 24-month contract; You are curious, rigorous, with strong analytical and synthetical skills; Intervening in an international context, you have strong verbal and written communication skills in both French and English

Workload: 100%
Duties: Lead Tech Due Diligence - Assess platforms, ERP landscapes, architecture maturity, security posture, and scalability of target companies in M&A deals; Design System Harmonization Plans - Identify overlaps, define integration points, and architect consolidation strategies across ERP and IT systems post-merger; Predict Challenges and Shape Roadmaps - Help clients foresee risks tied to complex system consolidations and guide them with practical, business-aligned technology roadmaps; Establish Playbooks and Standards - Codify learnings and best practices into reusable frameworks for due diligence and harmonization; Engage C-Level Stakeholders - Translate complex technical findings into actionable recommendations for executives and cross-functional teams; Mentor and Empower Teams - Build client and internal capabilities by sharing frameworks, tools, and proven methods for sustainable decision-making
Requirements: 7 years in consulting, enterprise architecture, or M&A advisory. Proven record leading ERP or IT system consolidations; Strong understanding of enterprise architecture, ERP ecosystems (mainly SAP, Oracle, etc.), integration patterns, cloud platforms, and security; Ability to simplify complex technology landscapes into clear roadmaps aligned with business priorities; Comfortable engaging with executives, leading small teams, and presenting strategic insights in clear, business-friendly language; TOGAF, PMP, ITIL, or equivalent certifications would be considered a plus

Duties: Responsible for planning and executing strategic IT projects with a deep commitment to our clients'long-term success; Actively cultivate and strengthen close client relationships, serving as their trusted advisor and their first point of contact; Independently secure new projects and expand existing ones in the industry of Technology Strategy and Transformation; Leverage your comprehensive knowledge of technology and the industry to guide both internal and external stakeholders through critical project phases and situations; Assume the role of presenting key project outcomes to senior client management, demonstrating comfort with exposure to top-tier executives; Work with entrepreneurial passion to advance PwC with your contributions to people development, recruiting, and practice areas
Requirements: A degree in computer science, (business) informatics, or a related discipline with higher-than-average grades; At least six years of relevant experience, ideally with a consulting firm or with industry experience from a strategy department or inhouse consulting; Excellent industry-specific knowledge in the insurance or banking sector; Familiar with all the stages of development for successful IT organizations and IT processes; Demonstrate a track record of successfully leading projects and guiding project team members; Know how to plan IT initiatives and build solid business cases and align those with key stakeholders; Good at understanding and communicating complex topics in both German and English; French would be a plus

Duties: Zusammen mit deinem Team konzipierst, entwickelst und implementierst Du Softwarelösungen für unsere Kunden aus unterschiedlichen Branchen; Du berätst und unterstützt unsere Kunden bei der Neu- und Weiterentwicklung seiner bestehenden Softwarelösungen; Du magst die "you build it, you run it" Mentalität. D.h. Du pflegst den gesamten Lebenszyklus des Systems von der Entwicklung, über das Deployment bis hin zum Monitoring und Alerting
Requirements: Du hast ein abgeschlossenes Studium in einem MINT Fach; Du verfügst über mehrere Jahre Berufserfahrung als Entwickler/-in im Umfeld moderner Technologien und Architekturen, wie z. B. Java, Python, Quarkus, Microservices, Apache Kafka, RESTful APIs; Idealerweise hast Du Erfahrung mit Kubernetes; Ein naturwissenschaftlicher Hintergrund bzw. ein grundsätzliches mathematisches Interesse sind von Vorteil; Du fühlst dich wohl in komplexen Systemarchitekturen; Clean Code, CI/CD und DevOps sind keine Fremdwörter für Dich

Duties: Maintain an appropriate scholarly or professional development activity and to keep up to date with developments in the field as necessary to carry out the duties of the position; Participate in the comprehensive advisement of students majoring in the College; Contribute to the overall work of the College and/or equivalent external organizations by representing the institution and faculty on appropriate committees and groups; Effectively contribute to the management and administrative processes and committee structures of the School, faculty, and College, as required
Requirements: A PhD candidate from Western Universities with at least 30-semester hours beyond master and bachelor’s degree is required. Candidate must have the ability to demonstrate and instruct in English. Candidate must have the ability to teach at the university level

Duties: Du entwickelst in enger Zusammenarbeit mit unseren Kunden stabile, leistungsfähige und benutzerfreundliche Anwendungen von der UI über die Business-Logik bis hin zur Datenbank; Technologisch setzen wir in der Frontend Entwicklung überwiegend auf Angular und im Backend auf Java; Dabei arbeitest Du ein einem Team erfahrener IT Experten und Expertinnen, bist neuen Ideen aufgeschlossen und auch bereit, Dein Wissen mit anderen zu teilen; Du arbeitest im gesamten Lifecycle der Softwareentwicklung: von der Requirements Analyse, über Spezifikation, Dokumentation, Test und Support
Requirements: Du hast ein erfolgreich abgeschlossenes Studium der Informatik bzw. einer vergleichbaren Fachrichtung, aber wir sind auch engagierten Quereinsteiger/-innen aufgeschlossen; Du hast mindestens 2 bis 5 Jahre Berufserfahrung als Front- und Backend-Engineer; Du bringst Know-How in Angular, Java, PostgreSQL und Docker mit; Du sprichst fliessend Deutsch und hast sehr gute Englischkenntnisse

Duties: Participate in cutting edge research in machine intelligence and machine learning applications; Develop solutions for real world, large scale problems
Requirements: PhD in Computer Science, related technical field or equivalent practical experience; Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence); Programming experience in one or more of the following: C, C++, Python

Duties: Design, build and scale supervised ML models for active learning and Bayesian Optimization of materials synthesis and performance; Implement best practices and innovate methods for uncertainty quantification; Combine datasets of multiple fidelities and sources to power data-driven materials discovery; Work with the computational team to identify materials design pathways that target desired functional properties and their synthesis; Work with infrastructure and automation teams to transfer data and predictions in real time; Work with the experimental team to drive material discovery and development, and build domain-specific acquisition functions
Requirements: PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field; Experience with uncertainty quantification, active learning and Bayesian Optimization; Experience implementing, evaluating, and hyperparameter tuning small and large supervised models in a Bayesian Optimization context (Gaussian processes, Bayesian Neural Networks) on small and large datasets; Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.); Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models

Duties: The University of Göttingen is an internationally renowned research university. Founded in 1737 in the Age of Enlightenment, the University is committed to the values of social responsibility of science, democracy, tolerance and justice. It offers a comprehensive range of subjects across 13 faculties: in the natural sciences, humanities, social sciences and medicine. With about 30, 000 students and more than 210 degree programmes, the University is one of the largest in Germany
Requirements: We crawl all higher jobs in research, teaching and administration at Uni Göttingen 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: DTU is recognized internationally as a leading university in the areas of the technical and the natural sciences, renowned for our business-oriented approach, our focus on sustainability, and our amazing study environment
Requirements: We crawl all higher jobs in research, teaching and administration at DTU 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"

Workload: 100%
Duties: As a Data Engineer, you will play a central role in the development and operation of the University’s modern data platform. You will design, build, and maintain scalable data pipelines that support analytics, reporting, and data-driven decision-making. Working closely with analysts, data architects, and business stakeholders, you will ensure high-quality, secure, and efficient data integration from diverse sources into our Azure-based data ecosystem; Key Responsibilities: Design and implement data pipelines using Azure Data Factory and Databricks; Develop scalable and maintainable ETL/ELT workflows to ingest data from various systems (e.g., SAP, APIs, databases); Ensure data quality, consistency, and lineage across all stages of the data lifecycle; Optimize pipeline performance and resource usage in line with Azure best practices; Collaborate with data analysts, integration experts, and business stakeholders to understand data requirements and translate them into technical solutions...
Requirements: Degree in Computer Science, Data Engineering, Information Systems, or equivalent professional experience; Hands-on experience with Azure Data Factory and Databricks, including PySpark or Spark SQL; Strong understanding of data modeling, data warehousing, and ETL/ELT processes; Familiarity with Delta Lake and working in cloud-native data environments; Knowledge of data governance, access control, and security concepts in Microsoft Azure; Experience with version control, CI/CD practices, and agile development workflows; Exposure to business intelligence tools (e.g., Power BI) is a plus; Experience in data integration (e.g., with Workato or similar tools) is considered an asset; Experience integrating data from SAP systems or enterprise applications is an advantage; Fluent in English; French or German is an asset; Strong problem-solving, communication, and documentation skills

Workload: 100%
Duties: As Integration Expert, you will be responsible for designing, implementing, and maintaining robust and scalable integration solutions. You’ll collaborate closely with business and IT stakeholders to define integration strategies and apply best practices in system architecture and data exchange; Key Responsibilities: Design and build integrations using Workato or similar middleware platforms (e.g., Mulesoft, Boomi, Make, Zapier); Define integration architecture and advise on optimal integration patterns and standards; Translate business requirements into secure, scalable, and maintainable integration solutions; Implement workflows that automate and orchestrate data exchange across cloud and on-premises applications; Document technical architecture, data flows, and operational procedures; Ensure proper monitoring, logging, and error handling of integration pipelines; Collaborate with enterprise architects and developers to align integration with overall IT strategy; Stay current with ...
Requirements: Degree in Computer Science, Information Systems, or equivalent professional experience; Strong expertise in integration platforms (Workato preferred, but alternatives are welcome); Solid understanding of integration patterns (e.g., pub/sub, request/reply, batch processing, event-driven architecture); Experience with API design, management, and security (REST, SOAP, OAuth); Familiarity with enterprise architecture concepts (e.g., TOGAF, microservices, data mapping); Practical knowledge of scripting or low-code/no-code environments (e.g., JavaScript, Python); Experience with business applications (e.g., Salesforce, ServiceNow, Microsoft 365) is a plus; Knowledge of ETL Tools like Azure Data Factory and Experience in the area of Data Engineering is a plus; Fluent in English; French or German is an asset; Strong communication, analytical, and documentation skills

Duration: 3 y       
Workload: 100%
Duties: The selected candidate will join the new Systems and Network Security Group led by Prof. Vincent Lenders. The person will contribute to cutting-edge research in cybersecurity for critical infrastructures and perform the following tasks: Research: Conduct scientific research to advance the field of cybersecurity in critical infrastructures on problems related to network security, IoT security, AI agents, security automation, vulnerability discovery or human factor security; Technology transfer: Work with industrial and governmental partners to transfer the group’s research results into functional prototypes and technology demonstrators for uses cases in the field of satellite systems, vehicular networks, smart cities, and others; Education: Contribute in the teaching activities of the University’s Cybersecurity Master program and supervise Master students; Dissemination: Present your research results at scientific conferences, journals and technology events
Requirements: A MSc degree (or equivalent) in Cybersecurity, Computer Science, Electrical Engineering, etc; Interest in security research and/or security engineering; Ability to work in a multidisciplinary research environment; Strong analytical and problem-solving skills; Fluent written and verbal communication skills in English are required. Knowledge of French, German, or Luxembourgish will be appreciated but is not a requirement to apply

Workload: 12h/w
Duties: We are looking for a structured and independent academic employee to help us with downloading and checking primarily satellite data; The job; Your primary responsibilities will be: downloading of satellite data and checking the availability of wind speed and direction; Extract satellite data for specific locations on Earth; Download and store ground-based data to be used for validation purposes
Requirements: We are looking for a academic employee who has an interest in satellite data and wind energy, and that has basic knowledge about computers and software. You must be able to work independently, be able to use English as a working language. You are in the process of achieving a relevant higher education at bachelor level or similar

Workload: 75%
Duties: Development and application of interpretable causal machine learning-based mathematical models with a focus on longitudinal and time-to-event data; Development of methods for these models; Data analysis and interpretation; Presentation and publication of scientific results at conferences and in journals; Collaboration with project partners
Requirements: University degree (master’s degree or equivalent) in statistics, computational biology, computer science, mathematics, econometrics, physics or related fields; Profound knowledge in machine learning and causal inference; Experience in some of the following fields: machine learning, causal inference, (mathematical) statistics, probability theory; Programming skills (preferably Python, C++, Julia and/or R); Interest in identifying causal effects, life sciences, and medical topics; Proficiency in written and spoken English

Duties: Identify high-impact projects and engage with senior stakeholders from high-profile clients in a broad range of industries such as Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Products, and Public Services; Facilitate digital innovation for your clients by providing holistic, end-to-end data and platform architectures considering the latest developments; Direct and support the design of enterprise architecture and drive implementation projects; Simplify complex concepts and abstract technical information for stakeholder decision making; Challenge the status quo, seek the information you need, understand the challenge at hand, and communicate your ideas clearly to senior stakeholders; Implement and continue learning best-practices in technology, data engineering, analytics, and consulting approaches
Requirements: A university degree in fields such as business informatics, computer science, physics, mathematics, or any engineering discipline is preferred; Over 7 years of work experience focusing on data engineering, analytics, or data science, with consulting experience being a plus; Experience in sourcing, preparing, and delivering end-to-end data architecture or platform solutions to internal or external clients; A good understanding of a broad set of data platforms, tools, and methodologies surrounding enterprise architecture and data platforms, with DataBricks and Microsoft certifications as a plus; Experience in developing architectural requirements and deploying large-scale solutions within international conglomerates; Fluency in English and German, with a willingness to travel within Switzerland and occasionally internationally, while French language skills are considered a plus