Duties: At DTU Chemical and Biochemical Engineering, we are at the forefront of developing innovative carbon capture and utilization technologies. We are looking for 2-3 skilled and experienced Carbon Capture and Utilization Pilot Managers to join our dynamic team working on demonstration plants that feature promising new technologies to improve the efficiency of CO₂ capture and utilization. Our department conducts cutting-edge research in chemical and biochemical engineering, with a strong focus on sustainable technologies. As part of our commitment to addressing climate challenges, we operate multiple carbon capture and utilization pilot plants that demonstrate the practical application of our research.As Carbon Capture Pilot Manager, you will lead our carbon capture pilot projects from planning to operation. You will oversee the full value chain of pilot activities, managing both technical and operational aspects while coordinating key stakeholders and project partners
Requirements: Master’s degree or marine engineer and technology manager or higher; Demonstrated experience working in a research environment; Proven track record in the operation of pilot plants or demonstration facilities; Experience in planning and management of carbon capture pilot work; Expertise in managing tasks related to pilot activities, including planning and executing experimental campaigns, procurement of specialized pilot equipment and devices, and collection, treatment, and analysis of data/results from pilot operations; An organized approach and confidence in documenting and presenting your findings to both technical and non-technical audiences; Ability to drive projects forward independently, yet value input and knowledge-sharing across teams; Experience with designing process flow diagrams and P&IDs; Excellent communication skills in English

Duties: Join us at DTU Chemical and Biochemical Engineering, where you’ll be at the forefront of developing innovative carbon capture and utilization technologies. We are looking for 2-3 skilled development engineers to join our dynamic team working on demonstration plants that feature promising new technologies to improve the efficiency of CO₂ capture and utilization. Our department conducts cutting-edge research in chemical and biochemical engineering, with a strong focus on sustainable technologies. As part of our commitment to addressing climate challenges, we operate multiple carbon capture and utilization pilot plants that demonstrate the practical application of our research
Requirements: We expect you to have a masters degree or marine engineer and technology manager; Comprehensive experience with prototyping and innovation (preferably also pilot plant experience); Experience with designing process flow diagrams and P&IDs; Networking and people skills; Good understanding of the Danish/European visions and strategies within the green transition; Excellent communication skills in English and preferably also Danish; Out-spoken character; To be able to put in the extra work when required due to deadlines and off hours networking events; Exceptional communication skills, to be able to communicate the vision of the projects to both researchers, CEOs, the public and funding agencies

Duties: Join us at DTU Space to contribute to research that could revolutionize our understanding of stellar structure and evolution. We are seeking an enthusiastic and skilled Postdoctoral Researcher to join the ERC-funded MAGNIFY project, led by Dr. Victoria Antoci. This project explores the effects of magnetic fields on stellar structure and mixing processes within stars. It focuses on magnetic field generation, the impact on pulsations, and broader implications for stellar evolution. MAGNIFY investigates the variability induced by stellar spots and examines the origin of magnetic fields causing these variations in A and F stars. Using asteroseismology, we aim to detect and analyze near-core and surface magnetic fields. This involves comparing theoretical models with photometric observations from the Kepler and TESS satellites, complemented by Gaia data and ground-based spectroscopic and spectropolarimetric observations
Requirements: Extensive experience in stellar modeling (MESA & GYRE); Experience in magneto-asteroseismology is highly desirable; Strong analytical skills and a proven track record of research publications; Proven ability to conduct independent research; Effective communication and mentoring skills; A commitment to diversity and inclusion in the workplace; Candidates with diverse backgrounds in stellar modeling and those who have worked on various types of stars are encouraged to apply; As a formal qualification, you must hold a PhD degree (or equivalent)

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: The candidate will be working on the project “NeverGiveUp: Fallback adaptable heterogeneous multi-robots for efficient and collaborative lunar prospection.” A project starting on the 1st of June in collaboration with the RSL-ETHZ research team. NeverGiveUp aims to develop a robust and highly autonomous approach to heterogeneous multi-robot exploration, which would enable them to overcome difficulties and failures while accomplishing collaborative lunar prospection missions. This framework includes approaches to identify and predict potential failures, react before the damage occurs, and define, share, and execute tasks while considering the local terrain and robot states. We plan to use both wheeled robots and advanced walking (legged) robots equipped with cutting-edge locomotion control techniques and autonomous modes to navigate obstacles and challenging terrain adeptly
Requirements: The candidate should possess an MSc and bachelor’s degree in computer science, Artificial Intelligence or Robotics Engineering with a GPA of 3.2+. We expect a candidate who is passionate about Machine learning and robotics and who is looking forward to further developing his or her skills in robotics in challenging terrestrial and space environments

Duties: Sie entwickeln, optimieren und charakterisieren optische Interferenzschichten und nutzen dabei hoch-präzise Mess- und Beschichtungstechnologien: Eigenständige Berechnung, Simulation und Optimierung komplexer Dünnschichtdesigns mit etablierter Simulationssoftware; Bedienung und Überwachung von Beschichtungsanlagen zur Herstellung optischer Schichten; Prozessentwicklung für optische Beschichtungen; Akquise und Mitgestaltung innovativer Projekte; von der Vision bis zur erfolgreichen Umsetzung: Sie bringen kreative und unkonventionelle Ideen ein, um die Industrie mit zukunftsweisenden Lö-sungen zu unterstützen. Sie verfolgen aktuelle Entwicklungen in der Forschung und Wissenschaft und präsentieren Ihre Ergebnisse aktiv in Publikationen und an Konferenzen
Requirements: Sie verfügen über ein abgeschlossenes, technisches Studium; idealerweise mit Promotion; in Physik, Materialwissenschaften, Ingenieurwesen oder einem ver-wandten Fachgebiet mit Schwerpunkt Optik oder Photonik. Praktische Industrieerfahrung im Bereich optischer Beschichtungen ist von Vorteil. Sie gehen gerne auf Menschen zu und haben Spass im Umgang mit einer Vielfalt von Persönlichkeiten und Organisationen. Für diese Position suchen wir Kandidatinnen oder Kandidaten mit nachweislicher Erfahrung in der Entwicklung und Herstellung optischer Interferenzschichten! Bitte beachten Sie, dass Erfahrungen ausschliesslich im Be-reich Halbleiter-Dünnschichten für diese Position nicht ausreichen

Duties: Du prüfst Konzern- und Jahresrechnungen nationaler sowie internationaler Unternehmen direkt bei den Kund: innen vor Ort, im PwC-Office oder aus dem Homeoffice; Du beurteilst Geschäftsprozesse, unterstützt bei Fragen zur Rechnungslegung nach verschiedenen Standards (OR, IFRS, Swiss GAAP FER, US GAAP) und wirkst bei Sonderaufträgen sowie Sonderprüfungen mit; Du bist Teil der digitalen Revolution in der Wirtschaftsprüfung, indem du unsere digitalen Prüftools und -methoden einsetzt und an deren Weiterentwicklung mitarbeitest; Du prüfst Nachhaltigkeitsberichte zu Umwelt-, sozialen und Governance-Standards (ESG); Du kannst dich in einem internationalen Arbeitsumfeld, das von Teamgeist, Vertrauen und gegenseitiger Unterstützung geprägt ist, persönlich entfalten; Du baust dir ein breites Netzwerk auf und lernst die vielfältigen Karrieremöglichkeiten bei PwC kennen
Requirements: Du befindest dich mindestens im 4. Semester deines Studiums (Bachelor/Master) in den Bereichen Wirtschaftswissenschaften, (Wirtschafts-)Informatik oder STEM (Science, Technology, Engineering, Mathematics), wobei wir für alle Studienrichtungen offen sind; Du hast ein Flair für Zahlen, betriebswirtschaftliche Zusammenhänge und arbeitest gerne im Team sowie mit unseren Kund: innen; Du kennst dich mit den gängigen MS-Office-Anwendungen (Word, PowerPoint, Excel, Outlook) aus und interessierst dich für die Digitalisierung, insbesondere für Datenanalyse-Tools (Power BI, Alteryx, Matlab); Du kannst dich präzise in Deutsch und Englisch ausdrücken

Duties: Du baust nachhaltige Kundenbeziehungen auf und unterstützt unsere Kunden bei Unternehmenstransaktionen, insbesondere bei der Durchführung von käufer- und verkäuferseitigen Due-Diligence-Projekten sowie bei Verkaufsprozessen und in komplexen Carve-out-Situationen; Du übernimmst die Verantwortung für die Analyse von Erfolgsrechnungen, Cashflow-Statements und Bilanzen, dabei wirst du einen starken Fokus auf die Analyse und das Verständnis der wesentlichen Werttreiber der Zielgesellschaften legen; Du und dein Team werden die Analysen stark auf neuen Data & Analytics-Tools basieren und damit unseren Kunden helfen, fundierte Entscheidungen zu treffen; Du übernimmst Verantwortung in verschiedenen Projekten in der Schweiz und in Europa und arbeitest mit vielfältigen Teams und Experten zusammen; Du arbeitest selbständig und hast Freude daran Mitarbeiter auf Projekten zu führen und förderst aktiv deren Entwicklung; Du entwickelst dein technisches Know-how und deine Soft Skills du...
Requirements: Du hast einen Masterabschluss in Betriebswirtschaftslehre, Finance oder Naturwissenschaften (z.B. Mathematik, Ingenieurwesen, Technologie) von einer Universität oder Hochschule. Zusätzliche Weiterbildungen (wie z.B. CPA, CFA) sind von Vorteil; Du verfügst über mindestens 5 Jahre relevante Berufserfahrung in den Bereichen Transaction Services, Corporate Finance/M&A oder in ähnlichen Bereichen, davon mindestens 2 Jahre als Manager; Du hast ein grosses Interesse an strategischen Fragen, Finance sowie Mergers & Acquisitions, ein Flair für Zahlen und bringst eigene Ideen und Erfahrungen ein; Du hast ausgeprägte kommunikative Fähigkeiten und sprichst fliessend Deutsch und Englisch (Französisch von Vorteil); Du zeichnest dich durch starke analytische Fähigkeiten und fundierte Accounting-Kenntnisse aus, bist belastbar und agierst als Teamplayer; Du bist eine flexible, motivierte Persönlichkeit mit einer ausgesprochenen Dienstleistungsorientierung

Workload: 100%
Duties: Execute high-impact projects and engage with senior stakeholders from high-profile clients in industries such as Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Manufacturing, and Public Services; Empower your clients to derive value from their data by designing and adapting modern data architectures, data platforms alongside advanced AI solutions; Facilitate your clients'progress in digitization through strategic use of modern technologies, enterprise, and data architectures; Challenge the status quo, seek the information you need, understand the challenge at hand, and come up with creative and simple solutions; Implement and continue learning best practices in technology, data engineering, analytics, and consulting approaches
Requirements: Possession of a degree (bachelor/master/diploma) preferably in business informatics, computer science, physics, mathematics, or any engineering discipline; Initial work experience in the field of data engineering, data science, visualization, or analytics (including a thesis); Proficiency in multiple programming languages or experience with data architectures and platforms; Experience in developing ERDs, Enterprise Architecture, or Data Flow concepts; Excellent interpersonal, listening, and communication skills, alongside a proactive and enthusiastic approach to delivering value to clients; Fluency in English and German, with a willingness to travel within Switzerland and occasionally internationally

Duties: Develop robust, scalable image analysis workflows for lightsheet microscopy using OME-Zarr and related technologies; Integrate workflows into platforms such as Fractal and tools for 3D+t interactive visualization and quantitative feature space exploration; Contribute to the design and development of the OME-NGFF specification; Collaborate across international teams to ensure seamless integration with existing tools and frameworks; Engage regularly with biologists, engineers, and developers to support effective cross-disciplinary research and tool development
Requirements: You hold a MSc or PhD degree in computer science, data science, computational biology, or a related field; You have 2+ years of relevant experience; You are proficient in Python or similar programming languages; You have demonstrated track record in open-source scientific software development for image analysis; You are familiar with software engineering best practices, including version control, testing, and continuous integration; You possess strong interpersonal communication skills with experience working across teams and disciplines; You are independent, proactive, and goal-oriented and have a passion for scientific discovery and tool building; Preferred; You have experience in processing lightsheet microscopy images or other large-scale multidimensional image datasets; You are familiar with cloud-native applications and the OME-Zarr file format; You have contributions to community-driven software infrastructure projects

Duties: Conduct cutting-edge research in perception and situational understanding, advancing the state-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields; Developing and implementing innovative solutions, validated through real datasets and experiments on our robotic platforms; Disseminating research findings through publications in leading peer-reviewed journals (e.g., IEEE RA-L, Elsevier RAS) and top conferences (e.g., ICRA, IROS), and engaging in outreach events; Take a leading role in research projects, prepare project deliverables and collaborate with stakeholders; Being involved in the preparation of research proposals to secure industry partnerships and attract national and European grant funding
Requirements: Research background in at least one of the following topics: simultaneous localization and mapping (SLAM), situational awareness, robotics, computer vision, machine learning, and/or related area; Proven record of publications in leading (1st quartile) conferences and journals in the field of robotics; Solid mathematical foundation paired with practical robotics experience; Strong programming skills in (at least one of) Python/C++; Familiarity with robotics frameworks like ROS; optimization-based frameworks such as GTSAM, G2O, or similar; computer vision frameworks like OpenCV; and/or deep learning frameworks such as PyTorch and TensorFlow

Duties: Assumes responsibility for the administrative and academic functions of the department; Teaches at the undergraduate and the graduate levels. Leads the faculty in continued curricular development; Engages in and promotes active research; Performs other duties as assigned by the Dean of the College of Science, Engineering and Technology (COSET); Performs other job-related duties as assigned
Requirements: A Ph.D. in Mathematics or a related discipline from an accredited institution is required. The successful applicant should be eligible for a tenured Professor level position, and should have a distinguished record of successful program administration in an academic setting and a reputation for teaching, research and intellectual leadership

Duties: Contrôler les états financiers consolidés et annuels des entreprises nationales et internationales directement chez le client, au sein des locaux PwC ou à domicile; Évaluer les processus d'entreprise, analyser, documenter et porter un jugement sur des questions comptables; Aider à répondre aux questions concernant la comptabilité selon différentes normes (OR, IFRS, Swiss GAAP RPC, US GAAP) et effectuer des missions spéciales et des audits; Participer à la révolution numérique de l'audit en utilisant nos outils et approches d'audit numérique en contribuant à leur amélioration; Contrôler les rapports de durabilité concernant les normes environnementales, sociales et de gouvernance (ESG) et assurer le suivi des stratégies de durabilité; Bénéficier d'un coaching sur le lieu de travail et en dehors de celui-ci afin d'atteindre les objectifs de carrière et de développement professionnel et personnel; Constituer un réseau interne et externe, acquérir un savoir-faire ...
Requirements: Titulaire, ou sur le point de l'être, d'un Bachelor ou Master dans le domaine de l'économie ou finance, de l'informatique de gestion ou des STEM; Obtenir le diplôme d'expert-comptable (pris en charge par PwC) est un objectif. En dehors de la « busy season », notre temps de travail annualisé donne la flexibilité d'étudier et d'avoir du temps libre ou une compensation financière; Un premier stage dans la comptabilité ou dans un domaine similaire est un atout; De langue maternelle française, avec d'excellentes connaissances en anglais; Intérêt pour l'actualité, les tendances technologiques ainsi que pour le développement durable; Faire preuve de résilience, de persévérance et d'adaptabilité

Duties: The Weierstrass Institute conducts project oriented research in applied mathematics with the aim of solving complex problems in technology, science and the economy. The institute deals with the whole scientific solution process, starting with mathematical modeling, followed by the theoretical analysis of models, and ending with the numerical simulation of the solution. In this context, the WIAS maintains long term, wide-ranging contacts with those who apply mathematics in industry and other areas of research and for whom it is a reliable partner
Requirements: WIAS posts regulary jobs at our sites. 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: The Zuger Kantonsspital comprises four clinics: the Surgery Clinic, the Orthopaedics and Traumatology Clinic, the Medical Clinic and the Obstetrics and Gynaecology Clinic. These specialisations are complemented by anaesthesia/intensive care medicine with an intensive care unit, diagnostic and interventional radiology and the interdisciplinary emergency centre
Requirements: We crawl all higher jobs at Zuger Kantonsspital 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: Designing and training surrogate models (emulators) for biogeochemical modules within ESMs; Quantifying the response of the biological carbon pump to changing environmental drivers; Integrating observational datasets (e.g., satellite data, in situ measurements) with model output; Collaborating with climate scientists, oceanographers, and data scientists within national and international consortia; Publishing research in peer-reviewed journals and presenting at international conferences
Requirements: A PhD in oceanography, climate science, applied mathematics, computational science, or a related field; Experience with Earth System or biogeochemical modelling; Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling; A strong interest in interdisciplinary collaboration and addressing complex Earth system questions

Duties: We are looking for a curiosity-driven and conceptually-minded candidate who enjoys scientific discussion and interdisciplinary science
Requirements: To be considered for this position, you must have a PhD in a field like physics and applied mathematics or a field related to one of the components of the climate system. As a suitable candidate you have expertise in analyzing complex systems (e.g., using dynamical systems theory, statistical physics) and/or process-level expertise in a specific component of the climate system. You should also have experience in presenting your results to the scientific community at international conferences and through peer-reviewed publications in international journals

Duties: The Friedrich Miescher Institute for Biomedical Research (FMI), based in Basel, Switzerland, is a world class biomedical research institute with a twofold mission - understanding the fundamental mechanisms of health and disease, and training early career scientists. The institute has an international staff of about 330 people, from over 40 countries, and 19 research groups whose main areas of focus are Neurobiology, Genome Regulation and Multicellular Systems. Named after Friedrich Miescher, the Basel biochemist who discovered nucleic acids, the FMI is affiliated with the University of Basel and Novartis Biomedical Research
Requirements: We crawl all higher jobs in research, teaching and administration at FMI 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: Lifeware is a pioneer in providing tailormade, fully integrated, web-based solutions for the management of life insurance companies. Founded in 1998 in Switzerland by a group of leading mathematicians, physicists, and computer scientists, Lifeware is dedicated to pushing the boundaries of life insurance and fintech through innovation and cutting-edge technology. We take pride in our commitment to excellence, creativity, and fostering a dynamic work environment where every team member has the freedom to contribute their ideas
Requirements: hold a Master’s degree or a PhD in a STEM field such as; Mathematics, Physics, Computer science or Engineering; are passionate about programming (experience is not; mandatory) and have a willingness to learn; tackle both simple tasks and highly complex projects with; enthusiasm and diligence; embrace autonomy and exhibit a high degree of; accountability for your work; take pride in creating smart and finely crafted solutions that meet the; needs of our customers; are a true team player who enjoys collaborating with; colleagues and engaging with customers; are fluent in English to communicate effectively with our global; customer base

Duties: Perform research at the interface between biophysics, biomedicine, and computer science; Simulate molecular dynamics of ion channels; Predict variant-specific protein structures using AlphaFold; Co-develop machine-learning approaches to incorporate quantum effects in molecular dynamics simulation; Predict variant-specific drug candidates and validate them by simulations; Participate as a team member in discussions for validation approaches; Become an active memberwithin the Institute of Advanced Science at the University of Luxembourg in which the project is hosted
Requirements: Master’s degree or equivalent in biophysics, physics, computer science, pharmacology, biomedicine or related fields; Demonstrated expertise in computational modelling; Experience with molecular dynamics; Interest in interdisciplinary science; Experience in working on High-Performance Computing (HPC) environment and/or in pharmacology is an advantage

Duties: We have about 3480 people from 84 nations, so our workforce is as diverse as our ideas. Together, we create our distinctive values: personal and business, economic and ecological, and social and ethical. And the people we work for are just as varied as the people who work for us. In our everyday work we naturally observe laws, directives and standards. So in this respect we're the same as any other professional services firm
Requirements: We crawl all higher jobs at PwC 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: Carrying out research in the predefined areas; Managing and contributing to national and international research projects; Preparing project deliverables; Disseminating results through scientific publications; Presenting results in well-known international conferences and workshops; Implementing proof-of-concept solutions; Providing guidance to PhD, MSc, and BSc students; Organizing relevant workshops and demonstrations; Contributing to the acquisition of research funding
Requirements: The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field; The ideal candidate should have some knowledge and experience in the following topics: Quantum Software Engineering; Program Analysis; Testing; The candidate should have critical thinking and team working skills

Duties: The PhD project will focus on designing and optimizing soft robotic arms and grippers mounted on a rigid, fully actuated UAV to form a highly dexterous and efficient SAM. The goal is to develop model-based design concepts and optimization strategies that enhance adaptability, reach, speed, and safety. Starting with selected UAV, manipulator, and gripper designs, the team will optimize virtual prototypes before building the final physical SAM. While INRIA Lille leads the control design, both teams will collaborate on use-case scenarios and real-world demonstrations to assess performance and future potential
Requirements:  The candidate should possess an MSc degree or equivalent in Robotics/Aerospace/Mechatronics/Mechanical or Electrical Engineering, or related fields in Engineering or Computer Engineering; Programming Skills: Design tools for Mechanical/material design, Experience with MATLAB/Simulink and Python, programming skills in C/C++ are an asset

Duties: Hervorragende persönliche Entwicklungsmöglichkeiten durch umfassende Weiterbildung und abwechslungsreiche, herausfordernde Projektaufgaben, z. B.: Strukturierung und Management komplexer Projektvorhaben; Analytisch anspruchsvolle Geschäftsprozessmodellierung und -optimierung; Konzeption von Steuerungssystemen mit statistischen, finanzmathematischen und KI-Methoden
Requirements: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Gute IT-Kenntnisse und Spass an der Technik