Duties: The School of Mathematical and Physical Sciences at Macquarie University (MQ) in Sydney, Australia, is investing significantly in expanding its research capacity in statistics and statistical data science. We are seeking an outstanding candidate for a continuing position as Associate Professor (Level D) or Professor (Level E). We prefer candidates whose research program fosters new collaborations within the School and across the University, encompassing areas such as Statistical Modelling, Computational Statistics, Biostatistics, Astrostatistics, Medical Statistics, Statistical Image Analysis, and Statistical Machine Learning
Requirements: A PhD in statistics, statistical data science or a related discipline; Demonstrated and sustained contributions to undertake outstanding research in statistics or statistical data science aligned with School research areas as evidenced by ongoing publications in top-tier journals and evidence of national or international recognition in the discipline; Demonstrated and sustained ability to attract external research funding; Demonstrated proficiency in teaching and curriculum development at both the undergraduate and postgraduate levels

Duties: A Postdoctoral Research Fellow position is available at the Department of Geoscience, Faculty of Science and Technology. The position is affiliated to the newly funded Centre of Excellence, iC3: Centre for ice, Cryosphere, Carbon and Climate with the research group, Centre for ice, Cryosphere, Carbon and Climate. The iC3 polar research Centre in Arctic Norway is seeking to recruit a Postdoctoral Research Fellow to advance our knowledge on how the Antarctic Ice Sheet impacts Southern Ocean plankton ecosystems and productivity. This position is open to qualified applicants of all nationalities
Requirements: A Norwegian doctoral degree or a corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree in ocean physics, biogeochemistry and/or plankton ecology; Comprehensive experience in running and analysing numerical models; Sufficient knowledge of programming languages like Fortran, Python, Matlab or equivalent

Duties: An immediate opportunity exists for a research scientist/engineer interested in the areas of mathematical modeling and/or numerical simulation of complex flows relevant to high-speed flight. Responsibilities include basic research in nonequilibrium energy transfer mechanisms in high temperature gas flows, along with CFD code development. Candidate will be required to interact closely with the US Air Force (USAF) customer and learn/build on their academic and other computational skill set in a niche area that is of high value to the USAF
Requirements: A PhD or equivalent degree in Engineering (Aerospace, Mechanical, Chemical) or related fields (Chemical Physics or other)

Duties: The main purpose of the role is to manage the day-to-day delivery of statistical analyses of relevant YH ARC studies. Key duties will include: the development of research proposals, statistical programming for checking, manipulating, summarising and analysing data, writing up of research results and dissemination through publications, seminar and conference presentations, and public engagement and outreach activities; contributing to the identification of possible new areas of research
Requirements: First Degree in relevant subject area or equivalent professional qualifications; PhD in relevant subject area or equivalent experience; Knowledge and understanding of the routine practices and procedures in research; Knowledge of a range of advanced quantitative research techniques and methodologies; Experience of performing quantitative analyses in software such as R or python

Duties: The principal aim of the post is to undertake a programme of quantitative work conducting longitudinal analysis of child welfare data (SOSCARE) linked with maternity data (NIMATS) and area level Indicators of Multiple Deprivation (linked through postcode)
Requirements: Have (or be about to obtain) a PhD in a relevant subject such as social sciences, applied statistics, epidemiology, public health, pharmacy, psychology or related area; Strong quantitative skills and experience of using statistical packages such as STATA, R or SPSS

Duties: A PhD position is available at the Department of Physcis and Technology, Faculty of Science and Technology The SFF Integreat announces one vacant PhD position in the intersection of the research topics information theory and deep learning. The focus of this PhD fellowship lies on method development in the intersection between information theory and deep learning. The PhD student will focus on exploiting the knowledge that neural networks have inherent structures that can be used to improve information theoretic measurements
Requirements: This position requires a Norwegian master's degree in physics, mathematics/statistics, computer science, or similar, or a corresponding foreign master’s degree recognized as equivalent to a Norwegian master's degree. You must document significant coursework in machine learning, pattern recognition, statistics, deep learning, and programming skills. Coursework in signal processing and physics will be considered a plus

Duties: The successful applicant will be expected to work closely and collaboratively with a multidisciplinary project team, and to contribute to the design and conduct of clinical trials
Requirements: You will hold a Postgraduate degree in statistics supported by a publication record and be fluent with study design, analysis and presentation of statistical trial data. The post will also have the opportunity to work on methodology projects

Duties: The Assistant Professor of Finance is a tenure-track, full-time, 10-month academic position. The position is responsible for a 12-hour per semester teaching load in finance and related areas at both the undergraduate and graduate levels. A productive program of research and scholarly publication is expected and supported by a reduction in teaching load. Active involvement in service functions is also expected
Requirements: An earned doctorate in Finance or related field from an accredited institution by August 1, 2024; Experience teaching at the University level

Duties: Mithilfe bei der Durchführung und Organisation des «Statistic Camp Master»; Dateneingabe und -auswertung; Literatursuche und -verwaltung; Erstellung von Live-Votings auf Klicker; Mitbetreuung der Lernplattform ADAM inklusive Foren; Mitverantwortung bei der Prüfungsorganisation und -durchführung; Prüfungsaufsicht; Präsenzlisten in Excel übertragen
Requirements: Fortgeschrittenes Bachelorstudium oder erstes Mastersemester in Psychologie; Statistikkenntnisse und Interesse an Statistik; Gute Computer- und Internetkenntnisse; Gute Kenntnisse in R

Duties: Data Integration: Utilize your bioinformatics skills to integrate multi-omics data sets, including genomics, transcriptomics, proteomics, and epigenomics; Algorithm Development: Collaborate with team members to develop and implement novel algorithms and analytical methods for data integration and interpretation; Statistical Analysis: Conduct statistical analyses to extract meaningful insights from integrated multi-omics data sets, contributing to scientific publications and presentations
Requirements: Bachelor’s or master’s degree in bioinformatics, Computational Biology, or a related field; Strong programming skills in languages such as Python or R; Familiarity with bioinformatics tools and databases commonly used for multi-omics data analysis

Department: Engineering; Civil Engineering
Duties: In coastal areas close to river deltas, flooding events may occur caused by a single forcing or by several combined coastal and river forcings. The objective of the research is the application of advanced multivariate statistical methods, such as Copulas, "structure variable" or the "Metastatistical Extreme Value Distribution" (MEVD; Marani and Ignaccolo, 2016), for the analysis of the spatial and temporal combination and correlation between variables which, during compound coastal flooding, are frequently determined by the same meteorological event. The investigated area is the Po river Delta, and the marine area in its vicinity, characterized by several lagoons and low sandy barriers of great productive and environmental value. This area is subject to both river floods and extreme marine events and is extremely vulnerable to the effects of climate change; icar/02 - costruzioni idrauliche e marittime e idrologia
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Department: Medical Sciences; Medicine
Duties: The project aims to design and conduct environmental epidemiology studies (e.g. biomonitoring) in environmental high risk; areas in Italy, that include communities engagement. The main objective is to provide an integrated intervention model for SNPS and SNPA to characterize the state of the environment, assess the population exposure to specific pollutants, investigate the association between environmental risk factors and health outcomes, measure the impacts associated with contamination and remediation scenarios, providing population engagement at every stage of the process and adopting appropriate risk communication strategies; The project therefore consists in the definition of epidemiological surveillance procedures with engagement of communities and local administrators in the definition of research questions, research protocols and their public appraise, interpretation of the results and their public health implications; med/01 - statistica medica
Requirements: Experienced researcher or 4-10 yrs (Post-Doc)

Workload: 80-100%
Duties: Play a key role to help investigation teams to establish what has happened, uncovering what occurred, when, who was involved, how, and its impact; Apply advanced investigative and visualization techniques, machine learning and predictive coding algorithms to get faster and better insights into collected data; Contribute to the development of novel tools and methodologies, and building scripts to enhance delivery of digital forensic services; Identify, secure and acquire digital evidence from a broad range of data sources such as computer/laptop hard drives, USB and external storage devices, mobile devices, networks, server systems and IoT devices; Perform digital forensic analysis and evaluation of data from various sources using specialized tools and state-of-the-art methodologies; Manage and maintain KPMG's digital forensic lab and equipment, and contribute to training, mentoring and guiding team members on related methodologies, best practices, tools and capabilities; Help with mana...
Requirements: Hold a master's degree in data science, computer science, natural science, engineering and other related majors; Technology focused, curious with a keen eye for detail, will to be challenged by taking on responsibility and handle the pressure of delivering quality results to demanding timelines; Good knowledge of programming language (e.g., Python, C#) and data query language (SQL); Strong Machine Learning and Natural Language Processing technics (text classification, semantic search); Proficient with one of the major eDiscovery platforms (Relativity, Reveal, Recommind) and experience with forensic collections (Encase/FTK/Cellebrite, etc.); Good knowledge of the operating systems (Microsoft Windows, Unix, MacOS); Proficient in English; German or French are a strong advantage

Duties: Raiffeisen Oberösterreich hat sich dem Anspruch höchster Kund: innenorientierung verschrieben. Unsere Mitarbeiter: innen sorgen für Nachhaltigkeit und Nähe bei der Beratung und Begleitung in allen finanziellen Angelegenheiten. Sie erstellen gemeinsam mit ihren Kund: innen passende Lösungen für alle Lebensabschnitte und -situationen
Requirements: We crawl all higher jobs at RLB OÖ 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: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Workload: 80-100%
Duties: Obtaining a PhD and participation in a doctoral program; Support of the project management, including coordination with European project partners; Literature research activities; Planning and implementation of the cross-sectional data collection; Data analysis of the national EARLY cross-sectional data; Scientific dissemination activities (publications, congress abstracts); Participation in teaching activities
Requirements: Successfully completed Master degree (MSc/MA) in medicine, public health, psychology, health professions, social sciences or a similar discipline; Motivation for independent scientific work and strong interest in the topic of the study; Strong team player, reliability, good communication and self-organization skills; Good oral and written language skills in German and English; Experience in quantitative data analysis and in the use of software for data analysis (e.g., R, Stata) preferable (or strong commitment to learn quantitative analysis

Duties: Oversee the day-to-day management and maintenance of our HPC cluster; Monitor system performance, troubleshoot issues, and implement necessary upgrades to ensure uninterrupted HPC services; Provide user support for HPC systems and applications; Collaborate with researchers and IT teams to understand computational needs and provide tailored solutions; Conduct training sessions and tutorials to empower users in utilizing HPC resources effectively; Keep track of the latest developments and technologies in the field to ensure our HPC environment remains state-of-the-art
Requirements: Proven track record as a Linux System Administrator; Working knowledge of Python, Conda, and Jupyter Notebooks; Experience managing access privileges with Active Directory and authentications (e.g. Kerberos and NFS security); Excellent problem-solving and communication skills; Enthusiastic about further developing the platform independently; Proactive, takes initiative and follows through on opportunities

Duties: You will be conducting scientific research at the international level, publishing your results in highly reputed conferences and journals; You will be seeking opportunities to lead and participate in collaborative, funded research projects with academia and/or industry; You will take part in the development of our research-based teaching portfolio at the bachelor, master, and PhD levels; You will be responsible for the teaching of courses. DTU employs two working languages: Danish and English. Master and PhD courses are taught in English, while bachelor courses are taught in Danish and in English. You are expected to be fluent in at least one of these languages, and in time are expected to master both; You will contribute to the culture of collaboration at the department, and you will participate actively in joint activities aimed at developing the department and the section
Requirements: You are an active researcher both on the foundational side and on the application side of formal methods, witnessed by a publication record at the international level; Your research focuses on quality aspects of software systems such as correctness, safety, security, performance and/or dependability; You are recognized by the international research community as an expert in your field; You are an expert in one or more of the following areas: Quantitative/probabilistic aspects of formal methods; Quantitative/probabilistic aspects of programming languages; Program verification

Duties: Space weather, similar to weather on Earth, has a significant effect on infrastructure in space and on Earth. For example, solar storms may obstruct radio communication on Earth and space. Severe space weather events may even lead to failures of the electric grid, causing significant economic damage and posing a threat to societal stability. As weather forecasts on Earth, space weather forecasts may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance
Requirements: A MSc. degree or equivalent in Computer Science. You should have some knowledge and experience in some of the following topics: Space weather models and tools; Machine learning, in particular, time series forecasting; Excellent programming skills

Duties: Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension to 5 and more years. Involvement in immunology projects with single-cell transcriptomic data analysis
Requirements: You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology; Experience with the analysis of mRNA transcriptomic data sets, in particular with single-cell RNA-seq data analysis pipelines (Seurat, Scanpy); You are a highly motivated scientist with the drive to develop further; Experience in immunology is a plus

Duties: We are seeking Graduate Researchers to join our research teams at the Lebanese American University and University of Milan and collaborate on international projects. Individuals in this role are expected to be recognized experts in identified research areas such as Artificial Intelligence, Machine Learning, Big Data, and Cyber Security, where they will be leading a team of researchers and developers. The ideal candidates will have keen interest in producing new science to understand intelligence and technology
Requirements: Prospective candidates must have earned an MS or a PhD in Computer Science, Computer Engineering or related fields, have demonstrated an ability -or show promise and interest- in conducting innovative research, and have demonstrated: Experience solving analytical problems using quantitative approaches, optimization and algorithms; Technical knowledge in Machine Learning

Duties: High Performance Big Data Research Team at RIKEN R-CCS researches and develops system software for large-scale HPC (High Performance Computing) systems such as the Supercomputer Fugaku. Especially, we study state-of-the-art techniques for convergence of HPC, AI and Big data technologies as well as fundamental R&D in HPC. To achieve the goal, we develop system software to accelerate deep learning and big data processing on large-scale HPC systems, i.e., (HPC for AI/BD). we also apply AI and Big data processing techniques to resolve several technical challenges in large-scale HPC systems. We also study techniques to design next-generation large-scale HPC systems. The research topics include (but not limited to):
Requirements: Applicants must have a Ph.D. or expect to receive a Ph.D. before the date of appointment. In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researchers, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientists. The candidate should have knowledge and experience in programming with C/C++ languages. Experience in parallel programming (MPI, OpenMP, or other parallel programming languages) and research and development for scaling and accelerating large-scale I/O is also desirable

Duties: Theoretical performance bounds on radar tasks in distributed radar networks with the use of large reflective surfaces and robust estimation algorithms; Novel high mobility joint radar and communication systems exploring novel architectures (ultra-massive MIMO, intelligent surfaces), new modulation techniques exploiting available dimensions in next generation sub-THz/THz systems; Novel approaches to radar based health monitoring, including vital sign monitoring in the absence of a controlled environment through the use of distributed sensors; erif; font-size: 12px; ">Novel algorithms and architectures for distributed point cloud processing for target detection, identification and tracking
Requirements: The candidate should possess (or be in the process of completing) a master degree or equivalent in Electrical/Electronic Engineering, Computer Science or Applied Mathematics or Physics with electromagnetic background

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: PhD or MD with previous training in biochemistry or cell biology and possess exceptional computational skills. The most advanced degree must have been conferred within the last 3 years; Experience with large-scale genomic datasets; Prior experience with brain development, and/or cancer cell biology would be an asset; Prior first author publications are highly desirable

Workload: 100%
Duties: Plan and execute interdisciplinary projects connecting machine learning, software engineering and biomedical domain knowledge; Research, pilot and evaluate novel computer vision approaches for extracting insight from high-resolution biological images; Transform proof-of-concept machine learning models into automated, tested and production-ready systems; Support and mentor junior colleagues; Clearly communicate your results in internal and external presentations
Requirements: Ph.D. or MSc. in a relevant field, e.g. Computer Science, Machine Learning or Bioinformatics; Eagerness to lead initiatives, learn new technologies and excel in a complex space; Solid theoretical foundations and 4+ years of experience developing novel machine learning techniques; Advanced skills in Python, Linux, cloud computing and machine learning software stacks