Duties: This position will focus on the application of machine learning to develop computationally efficient emulators of high-resolution state-of-the art regional climate models. The goal of the emulators is to learn the relationship between large-scale predictions made by coarse resolution dynamical models and local surface variables of interest (such as near surface temperature, precipitation, wind speeds). This is accomplished by training the emulators to mimic the results of computationally expensive high-resolution regional climate models. The result is a suite of computationally lightweight algorithms capable of generating large ensembles that can translate coarse resolution operational climate predictions or projections into robust and reliable regional and local information
Requirements: Applicants must hold a master's degree or equivalent education in atmospheric sciences, statistics, computer science, applied mathematics or related disciplines; Experience in atmospheric physics, climate dynamics, and statistical modelling is required; Experience with scientific programming using Python, R, Matlab, Julia, C/C++ or similar is required; Experience with machine learning is an advantage

Duties: The Department of Mathematical Sciences at the University of the Virgin Islands (UVI) seeks to hire a full-time, tenure track professor at the Assistant level. We seek faculty who will inspire and mentor students at all levels while ensuring high academic standards in a nurturing and learner-centered environment in keeping with our HBCU status. The successful applicant will teach a wide range of undergraduate courses in Mathematics from foundations courses for those students who might not be ready for college level work
Requirements: PhD in any area of Mathematics, Mathematics Education, or a related field completed by August 2024

Department: Biozentrum - Center for Molecular Life Sciences
Duties: The Biozentrum of the University of Basel is one of the leading life sciences institutes in the world. Its fundamental research embraces a wide range of topics such as biochemistry, biophysics, physics of living systems, structural biology, microbiology, infection biology and immunology, cell and developmental biology, neurobiology, genetics as well as computational and systems biology
Requirements: We are looking for ambitious and highly motivated young talents from all over the world to join the Biozentrum Basel International PhD Program and our scientific community

Duties: To harvest this low grade waste heat, we can make use of magnetic materials, as the magnetic properties of these will depend on temperature; cold materials will be magnetic, while hot materials will not. By changing the temperature of two magnetic materials using an alternating stream of waste heat in contact with these, the magnetic flux through a set of coils can be changed, thereby producing electricity; this is known as a magnetothermal process. This idea has existed since it was described by Nikola Tesla in 1889, but new powerful magnets and a novel design technique will allow us in this project to finally realize an efficient device for harvesting low grade waste heat. Your role as a PhD student will be to design, model and build an experimental magnetothermal energy harvesting device setup where we can test new designs of the various sub-components of the systems. The project has many aspects. You will work on building the device and testing this, but working on a numerical mode...
Requirements: A Master’s degree in chemistry, physics, engineering or similar; Experience with realizing experimental setups would be beneficial; Basic knowledge of electromagnetism as gained from e.g. BSc courses; Ability to work independently and plan and carry out complicated tasks; Good communication skills in English, both written and spoken

Duties: Franklin & Marshall College invites applications for a one-year visiting assistant professor/instructor position in the Department of Mathematics beginning August 2024. The teaching specialty is open, but preference will be given to candidates with experience teaching calculus, and the potential to teach probability and statistics courses in our curriculum. The rank will be Visiting Assistant Professor or Visiting Instructor, depending on qualifications. Appointment is for nine months per year (mid August - mid May). This position is not eligible for employment visa sponsorship. Applicants should possess or be close to completing a doctorate in Mathematics, Applied Mathematics, Statistics, or a related discipline
Requirements: Applicants should possess or be close to completing a doctorate in Mathematics, Applied Mathematics, Statistics, or a related discipline

Duties: Develop mathematical modelling and solution algorithms for routing and scheduling passenger transport using CCAM fleets; Advance multimodal traffic assignment models to consider transport equity and multimodality; Propose and investigate the use of semi-personalized travel incentives for improving public transport; Conduct case studies to validate the models and algorithms; Publish in high-impact journals and present your results at conferences; Spend 6 months visiting one of our partner universities, in Europe or United States (the most suited partner will be decided together with the candidate during the first 6 months of the project)
Requirements: You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree. Your background should be in Transportation, Operation Research, Applied Mathematics, Computer Science, or related

Duties: The successful candidate will join the young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing, and space resource utilization
Requirements: Qualifications: The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine

Duties: The successful candidate will join a strong and motivated research team led by Prof. Stephan Leyer to pursue the PhD degree in one or more of the following signal processing topics: Adiabatic boiling; Evaporation Modelling; Machine Learning in Fluid Mechanics; Characterization of Flashing Phenomenon in Adiabatic Riser pipe; CHFPAAR; Heat Transfer Optimization in Solids
Requirements: The candidate must possess a Master of Science (MsC) degree or equivalent in Mechanical Engineering, Physics or Computer Science

Duties: We offer attractive PhD candidate positions including industrial PhD positions conducting research in close cooperation with an industrial partner. The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to pursue a PhD in the general area of Computer Vision
Requirements: A master’s degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Strong background in image/signal processing or/and in computer vision; Strong programming skills in Python/Matlab/C/C; Strong mathematical background; Familiarity with deep learning frameworks such Pytorch, Tensorflow; Commitment, team working and a critical mind; Fluent written and verbal communication skills in English are mandatory

Duties: The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to carry out research in the general area of Computer Vision. Multiple positions are open
Requirements: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in computer vision and/or image/signal processing focusing on one or more of the following topics: Computer vision; Pattern recognition; Deep learning/machine learning; Computer graphics; Experience with European projects (FP7/H2020), national/international projects and/or industrial project; Strong mathematical background; Experience with machine learning algorithms; Commitment, team working and a critical mind; Strong development skills in Python, Matlab or/and C++; Familiarity with deep learning frameworks such as Pytorch and Tensorflow; Fluent written and verbal communication skills in English are mandatory

Department: Astronomy
Duration: 1 y
Duties: The main objective of this project, which aims in shedding light on the formation of globular clusters and their multiple stellar generations, consists in the investigation of multiple stellar systems in dense star clusters. The candidate will analyse data obtained with the Hubble and James Webb space telescopes to estimate the incidence of binaries among the multiple stellar populations of globular clusters for which appropriate archive and proprietary data are available. Moreover, they will derive the spatial distribution of the distinct stellar populations and their internal kinematics.. He or she will interpret the results to constrain the scenarios for the formation of the globular clusters and their stellar populations, the internal dynamics, and for shedding light on the relation between between binary stars and multiple populations; fis/05 - astronomia e astrofisica
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duties: You will contribute to climate change mitigation through the development of a more efficient technology for the production of green hydrogen and ammonia, as part of our enthusiastic and dynamic research team of over 30 talented individuals; You will develop, integrate and optimise layered electrode structures and components for membrane electrode assemblies (MEAs); the developed electrodes will be comprehensively characterised to gain insight into their composition, microstructure and properties
Requirements: PhD degree in Electrochemistry, Fuel Cell Technology, Physics, Chemical Engineering, Materials Engineering or related fields; You have relevant background in PEM cell design and common electrochemical techniques (cyclic voltammetry-CV, electrochemical impedance spectroscopy; EIS)

Duties: Develop and extend machine learning methods for big cancer Omics data such as single-cell omics data and spatial transcriptomics data; Develop bioinformatics pipelines for analyzing high dimensional immunological data; Develop novel visualization tools for interpreting big cancer Omics data; Discover new predictive biomarkers for cancer prognosis; Collaborate on a variety of cancer and bioinformatics research projects
Requirements: Research background/experiences in Bioinformatics, Statistics, Computational Biology, Machine Learning, or Computer Science; A highly motivated and independent researcher with a strong quantitative scientific background; Programming experience in statistical program R and/or scripting languages such as Perl/Python on Unix/Linux systems; Experience in cancer genomics is not required but the ability to learn new knowledge is highly desirable; Excellent communication and writing skills; Experience of integration of multi-omics data such as WES, RNA-seq, metabolomics, proteomics, etc, is preferred

Department: Assurance
Workload: 100%
Duties: Du prüfst Konzern- und Jahresrechnungen nationaler sowie internationaler Unternehmen direkt beim Kunden vor Ort, im PwC-Office oder aus dem Homeoffice; Du gewinnst einen tiefen Einblick in die Geschäftsprozesse von verschiedenen Unternehmen und Industrien, hilfst bei Fragen zur Rechnungslegung und startest mit dem Aufbau deines professionellen Netzwerkes bis in Geschäftsleitungen; Du bist Teil der digitalen Revolution der Wirtschaftsprüfung, indem du unsere digitalen Prüftools und -ansätze einsetzt und mithilfst, diese weiterzuentwickeln; Du prüfst Nachhaltigkeitsberichte zu Umwelt- und sozialen Standards sowie zu Governance (ESG) und bist dabei, das Monitoring der Nachhaltigkeitsstrategien sicherzustellen; Du wirst von der Audit Community darin unterstützt, deine Karriereziele zu erreichen, schnell Verantwortung zu übernehmen und deine Management Skills zu schärfen
Requirements: Du bist Absolvent: in (Graduate Bachelor/Master) oder in deinem letzten Studienjahr in den Bereichen Wirtschaftswissenschaften, (Wirtschafts-)Informatik oder STEM (science, technology, engineering, mathematics), wobei wir für alle Studiengänge offen sind; Du schaffst deinen Abschluss zur: zum dipl. Wirtschaftsprüfer: in mit unserer zeitlichen sowie finanziellen Unterstützung. Ausserhalb der Busy Season gibt dir unsere Jahresarbeitszeit die Flexibilität für Lern- und Freizeit oder finanzielle Kompensation; Du hast ein Flair für Zahlen, betriebswirtschaftliche Zusammenhänge und arbeitest gerne im Team sowie mit unseren anspruchsvollen Kunden; Du interessierst dich für technische Trends sowie für Sustainability und bist gern am Puls der aktuellen Entwicklungen; Du kannst dich präzise in Deutsch und Englisch ausdrücken

Duties: The Computational Structural Biology laboratory (Andrea Cavalli) at the Institute for Research in Biomedicine (IRB, Bellinzona, Switzerland) is recruiting a highly motivated postdoc to work on the development and application of artificial intelligence (AI), in particular large language models (LLM), to the discovery of antibodies
Requirements: Our international team will welcome candidates with a PhD in Computational Sciences, Computational Biology or related fields, with less than 3 years of postdoctoral experience and expertise in development and application of novel AI based methods, such as large language models (LLM). Furthermore, candidates should have strong programming skills (Python) and experience in structural biology

Duties: Konzeption, Installation, Betreuung und Auswertung von Windmessungen; Entwerfen und Optimieren von Windpark-Layouts; Erstellen von Energieertragsberechnungen; Berechnen von Schall- und Schattenwurfsprognosen; Koordinierung und Prüfung externer Wind-, Schall- und Schattenwurfgutachten
Requirements: Abgeschlossenes technisches oder technisch-naturwissenschaftliches Studium; z.B. Master of Wind Engineering, Meteorologie, Physik; Einschlägige Berufserfahrung in vergleichbarem Tätigkeitsbereich; Sehr gute Kenntnisse in WindPro & WAsP, WINDSIM wünschenswert; Gute Englischkenntnisse; Eigenständige Arbeitsweise; Reisebereitschaft

Duties: A PhD position is available in the frame of the project “Statisical Mechanics of Active Matter” funded by the FNR. Applicants are expected to have a good experience in statistical mechanics and numerical simulations. The project will focus on dense active matter, combining particle-based and hydrodynamic approaches, using recent methods of optimal control theory and stochastic thermodynamics. The candidate is also expected to take part in the scientific activities organized within Physics of Active Matter group and the Department of Physics and Materials Science, such as seminars, colloquia, and summer schools
Requirements: Excellent analytical and numerical skills; Solid knowledge of Statistical Physics; Good written and oral skills in English

Duties: The applicant will be responsible for optimizing the parameters of the low-emittance injector and studying system modifications to reduce the projection emittance, with a view to upgrading SACLA in the short term. In addition, the applicant will be responsible for the redesign and simulation of the injection section including the electron source and the development of necessary equipment for future KHz-order high-repetition rate
Requirements: Applicants must have a doctoral degree before starting employment

Duties: Designs and performs experimental studies that directly answer the above research questions, using both in vitro systems and animal models; Collects and analyzes data and presenting at national/international meetings; Prepares manuscripts for publication; Applies for external fellowships; Mentors junior lab members; Establishes new research protocols and procedure; Summarizes research findings and publish results in research journals; Maintains laboratory operations; Supervises research staff
Requirements: MD or Ph.D. in Basic Science, Health Science, or a related field. Experience with large-scale genomic datasets. Prior experience with brain development, and/or cancer cell biology would be an asset

Duties: In collaboration with industry, academia, and governments around the world, we generate and commercialize innovative technical solutions to real world problems. Our research portfolio engages multidisciplinary teams with expertise and skills that range from fundamental algorithms and understanding, to machine learning and statistics, to media analytics and systems, to devices, networks, and sensing. Our mission is to advance the frontiers of knowledge to solve complex problems addressing fundamental societal challenges and creating business value for NEC
Requirements: A PhD in computer science, electrical engineering, networking, optics, machine learning, data science, mathematics or equivalent work experience; A proven track record of collaborative research; Strong written and verbal communication skills

Duties: In this role, you will be part of a highly collaborative environment in which you will work independently on a multi-disciplinary team to design and develop flight and/or mission-critical onboard software for autonomous systems
Requirements: B.S. in Aerospace Engineering, Computer Science; 7+ years relevant experience

Duties: Subject to availability of funding, the Department will have two openings at the level of Tenure-Track Assistant Professor, with the possibility of appointment at a higher level for exceptional candidates. One of these positions may be named position, the Harold H. Martin chair. The department has identified several priority areas (Algebra & Algebraic Geometry, Computational Applied/Mathematics/Data Science, Discrete Mathematics, Geometry & Topology, Mathematical Analysis, and Number Theory), but outstanding candidates in any area of mathematics may be considered
Requirements: Candidates must have a PhD in mathematics by employment start date and have a strong record of research accomplishments in mathematics as well as effective teaching. Candidate will teach undergraduate and graduate courses in mathematics. The normal teaching load for research-active faculty is 2-1

Workload: 80-100%
Duties: Die Hauptaufgabe ist die fachliche und finanzielle Leitung von Forschungs- und Entwicklungsprojekten inklusive Ressourcen- und Terminplanung; Mitarbeit in der Umsetzung von Forschungs- und Entwicklungsprojekten sowie Unterstützung der Unternehmen und Forschungspartner bei der Durchführung von entsprechenden Entwicklungsprojekten; Mitarbeit in der Akquise und Initiierung von Forschungs- und Entwicklungsprojekten inklusive Projektvorbereitung und Gesuchsstellung
Requirements: Sie haben erfolgreich ein technisches Studium abgeschlossen und eine mehrjährige Erfahrung in der numerischen Simulation. Sie gehen gerne auf Menschen zu und haben Spass im Umgang mit einer Vielfalt von verschiedenen Persönlichkeiten und Organisationen

Duties: We are seeking a full-time Postdoctoral Research Assistant who will work with Professor Malavika Nair and the SMARTBio Team to develop prototype regenerative and therapeutic technologies for cardiac tissue engineering using extracellular matrix derived constructs, at the Department of Engineering Science, Institute of Biomedical Engineering, Botnar Research Centre, Headington. The post is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is fixed-term until April 2027
Requirements: You should hold a relevant PhD/DPhil (or be near completion) in fields such as biomedical, electrical or materials engineering, together with relevant experience. You should also have sufficient specialist knowledge in the discipline to work within established research programmes (i.e. experience with fabricating electronics and cell culture), as well as excellent communication skills

Duties: The successful candidate will work on quantification of differences and changes in the brain, using multimodal, longitudinal magnetic resonance images (MRIs), genetic information, self-reported mental health, and cognitive test scores from cohorts of individuals with known differences in biomedical risk at birth, including prenatal drug exposure. These individuals are followed over an extended period of development, now reaching well into adulthood. The data offer a unique opportunity to model heterogeneity in intercepts and slopes, of brain development, and link these to differences in biomedical risk at birth, cognition, mental health, and biomarker information
Requirements: Applicants must either hold a Master’s degree or equivalent in computational neuroscience, psychology, cognitive science, neuroscience, biomedical engineering, or a closely related field; Excellent English communication skills, orally and in writing are required; Applicants must have experience working with a high-level programming language such as MATLAB, Python, and/or R; Some competency and experience with processing neuroimaging data is required