Duties: Integrate with the SIGCOM research group and contribute to the SIGCOM on-going research projects; Identify and shortlist potential applications from the 5G wireless domain (including non-terrestrial networks) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors; Design and develop the machine learning algorithms able to provide a good performance-complexity trade-off for the identified scenarios and use cases
Requirements: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on artificial intelligence; Experience with 5G communication systems; Experience with non-terrestrial networks (NTNs) is considered a plus but it is not required

Duties: The Wistar Institute has an opening for a motived candidate to join the Bin Tian lab as a Post-Doctoral Fellow to study regulation of mRNA processing and metabolism in cancer using computational and bioinformatic approaches. One area of our research is to examine how dysregulation of mRNA processing steps, especially the 3' end processing, impacts mRNA metabolism, such as subcellular localization and translation, and helps cancer cell survival and metastasis. A second area of our research is to examine therapeutic approaches that target vulnerabilities of cancer cells in mRNA processing and metabolism
Requirements: Candidates should have a Ph.D. degree in Computational Biology, Bioinformatics or a related field. Candidates who have experience in experimental biology and wish to advance a career in Bioinformatics and Computational Biology are also encouraged to apply

Duties: Apply principles and methods of bioinformatics to assist scientists, principal investigator and other laboratory team members. Discuss study design with research team, and apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information
Requirements: Bachelor of Science and 3-4 years of experience or equivalent combination of education and experience is required

Duties: Configures, debugs and ensures stable operation of HPC cluster tools such as Bright Cluster Manager, OpenHPC, Warewulf; Configures, optimizes and ensures stable operation of software such as MATLAB and open source equivalents such as Octave and SciLab. In addition, ensures that any added module or toolbox needed for this software is working properly, including necessary licenses; Configures, optimizes and ensures stable operation and availability of Message Passing Interface (MPI) such as OpenMP libraries and utilities; Configures, optimizes and ensures stable operation and availability of the R statistical package and necessary extra modules needed by the HPC cluster users; Configures, optimizes and ensures stable operation of GPU related software and libraries such as CUDA and others; Configures, optimizes and ensures stable operation of specific software needed for mathematical oncology, bioinformatics, biostatistics and any other groups of research involved in the use of the HPC cl...
Requirements: Bachelor’s Degree in Computer Science, Information Technology, Management Information Systems, Biology/Chemistry/Physics or related field; Minimum of seven (7) years' experience designing, developing and successfully administering or supporting Unix- based systems

Duties: The focus of the project is to develop quantum computing algorithms for quantum scattering in atomic and molecular systems that are expected in a fusion energy system, and demonstrate the schemes in current quantum computers. Candidates with background in (1) quantum scattering theory and computation, particularly in atomic and molecular physics, and quantum chemistry; and/or (2) quantum computing, are preferred. Fusion energy science background is desirable but not required. The selected candidates are expected to work with a team of fusion energy scientists, atomic physicists, and quantum computing scientists. The initial appointment is for two years, with a possible third year extension depending on performance and funding availability
Requirements: Completion of a Ph.D. in STEM field within the last five years or expected completion within the current academic year. Demonstrated expertise in one or more areas of quantum computing, atomic/molecular physics, quantum chemistry, and quantum scattering broadly defined

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

Duties: Use AWS to provide serverless and cutting-edge ML solutions; Contribute to leading both research and clinical initiatives to develop software solutions for complex data science projects; Use software design and development best practices to create and maintain efficient data analysis and workflow pipelines; Employ best practices in coding, including thorough testing and documentation of code
Requirements: Bachelor's or Master’s degree in computer science, electrical engineering, or related discipline; Three to five years of programming experience; three to five years of systems experience; minimum of two years of application development experience in a clinical and/or research setting; Software development experience in languages such as Python, Scala, Java; Familiarity with scripting and process automation

Duties: Build user-friendly web applications using JavaScript with React and Node.js; Build fast, stable and efficient delivery pipelines; Update LIMS workflows to match the lab’s practices and data tracking needs; Use continuous delivery practices to deliver high-quality code; Clearly communicate project challenges and progress; Ensure code is readable, maintainable, and stable through implementation of unit and end-to-end tests; Follow programming best practices and work collaboratively in-person and through GitHub
Requirements: 3+ years of software development experience; Experience working with two or more development languages including (JavaScript, Java or Python); Experience with relational databases and/or non-relational databases (MySQL, MongoDB)

Duties: Participate in project planning, recording, and evaluation of data; Conduct independent scholarly research, developing new methods and protocols under the guidance of a mentor (principal investigator); Acquire technical, lab management, and grant writing skills; Participate in seminars, lectures, poster sessions, national presentations, and professional workshops; Supervise junior lab members; Assist with other research projects as needed
Requirements: PhD in computer science, electronic engineering or a related field; Research experience in computer vision and machine learning; Proficiency in Python and/or MATLAB; C++ is a plus

Duties: We are a Cooperative with our head office in Wettingen in Canton Aargau. Our team is made up of specialists from the field of natural sciences such as geology, physics, chemistry and biology, as well as from engineering. Communication experts and staff members dedicated to operational and administrative tasks complete our motivated team. Around 130 people are involved in the project of the century of deep geological disposal
Requirements: We crawl all higher jobs in research, teaching and administration at Nagra 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: We promote the competitive capacity of small and medium sized companies in Alpenrheintal (Alpine Rhine valley region). We achieve this through the targeted networking of business and research with the aim of making the business location of Alpenrheintal more attractive and as a result increasing opportunities for employment. We bundle the research capabilities of several research institutions. There is a vibrant informal and professional exchange of ideas and thoughts within the framework of this partnership, which benefits the entire network. The services we offer are completed with our own applied research capabilities
Requirements: RhySearch 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: As one of only eleven Universities of Excellence in Germany, we are the only university with as many as six Clusters of Excellence. Recent decades have seen us produce more winners of the Nobel Prize and Fields Medal than any other German university. The University of Bonn has a 200-year history of combining excellent research in a range of disciplines with research-led teaching
Requirements: We crawl all higher jobs in research, teaching and administration at Uni Bonn 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: The salary survey was carried out from April until the end of May 2022 for all members of the Swiss Actuarial Association (SAA). The salary survey was conducted online and was based on the salary and bonus information from 2021
Requirements: The main goal of this salary survey was to examine the salary development on the Swiss market for actuaries since 2015 and if there is a salary gender gap. The survey was coordinated by the SAA Women's Group with the support of the University of Lausanne

Duties: Gesucht wird eine Persönlichkeit (m/w/d), die das vorhandene Forschungsprofil des Instituts für Mathematik im Bereich Algebra, Computeralgebra oder Zahlentheorie ergänzt und die Lehre für die Bachelor- und Master-Studiengänge sowie die Lehramtsstudiengänge in Mathematik sowie den Service der Mathematik für andere Studiengänge der JMU insbesondere in den zuvor genannten Bereichen unterstützt
Requirements: Einstellungsvoraussetzungen sind ein einschlägiges abgeschlossenes Hochschulstudium, pädagogische Eignung, besondere Befähigung zu wissenschaftlicher Arbeit, die in der Regel durch die Qualität einer Promotion nachgewiesen wird, sowie zusätzliche wissenschaftliche Leistungen

Duties: Assisting in the development of all the research activities in a predefined topic and producing results; Providing support in setting-up and running experiments; Proposing and implementing real-time solutions; Participating in organizing relevant workshops and demonstrations; Assist on the laboratory setup preparation and experiment configuration
Requirements: A bachelor degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Extensive experience working in different industrial domains; Experience working with cross-functional teams of data scientists, user researchers, product managers, designers, and engineers; Experience managing data and AI programs for schools; Strong background in image/signal processing and in particular; Performed analysis on large sets of data to extract impactful insights; Strong programming skills in Python/C/C++

Duties: Develop theoretical and methodological framework for the value of travel time estimation considering automated vehicles impacts; Design original best-worst scaling experiments and stated preference choice experiments; design questionnaires and collaborate with LISER’s survey team; Analyze the survey data; Develop models for the adoption of emerging modes using hybrid choice modeling approaches; Collaborate with the project partner at TUM and write academic papers and present the results in national/international conferences
Requirements: Ph.D. degree in transport planning/economics/engineering, or other relevant field; Excellent knowledge in discrete choice behavior modeling/travel behavior modeling/stated preference survey design; Good skills and experience in data analysis using statistical software; Excellent communication and collaboration skills; Fluency in English (speaking and writing), any other language is considered as an asset

Duties: The GNSS-R Satellite Earth Observation (GLITTER) project harnesses the power of GNSS-R (Global Navigation Satellite System-Reflectometry) for advanced Earth observation. This technique uses the reflections of GNSS signals off various surfaces - land, sea, and ice - to monitor environmental conditions. Our ambitious goal is to pioneer a new generation of experts capable of making significant advancements in this field through doctoral level education and research. At the heart of GLITTER is the development of a synchronized constellation of CubeSats, offering a cost-effective yet powerful approach to Earth observation. This innovative system allows for enhanced resolution and data accuracy through advanced beamforming techniques. Essential to our methodology are ground-truth data and calibration methods derived from near-field radar technology, which will enable comprehensive research across all facets of GNSS-R technology
Requirements: A master’s degree or equivalent in geodesy, geophysics, remote sensing, applied mathematics or physics, computer science, telecommunication engineering with a focus on remote sensing and EO, or similar; Knowledge of remote sensing techniques preferably radar techniques; ideally experience in analyzing GNSS or EO data; Strong programming skills in MATLAB, Python or C++; Highly committed, excellent team-worker, and strong critical thinking; Excellent written and verbal communication skills in English

Duties: This PhD project aims at the development of an improved distributed control of such formations of small satellites, also using a combination of solar and aerodynamic forces for propellant-less control. This will be ideal to deploy, maintain and reconfigure cost-efficiently a large formation of small satellites but requires the detailed modelling of the satellite dynamics, including the effects of aerodynamic forces (caused by the residual atmosphere in LEO) and the solar radiation pressure. After an analysis of optimal formation geometries for Earth observation, suitable orbital guidance and attitude control approaches will be developed and tested, using advanced simulation tools as well as formation flight experiments on a smaller scale with drones. These flight tests will also provide a better understanding of the level of control needed to achieve satisfactory beamforming
Requirements: The candidate should possess an MSc degree or equivalent in Control/Aerospace/Electrical Engineering, or related fields in Engineering or Computer Engineering. Solid experience/knowledge in the following areas: Mathematical and Control Engineering, especially related to spacecraft guidance; navigation and control; Modeling and simulation of spacecraft dynamics; Spacecraft formations/swarms; Control of drones and flight experiments as well as knowledge in GNSS would be an asset

Duties: The specific duties for this position may include protocol development, study design, analysis plan, sample size/power calculations, and interpretation of study data; develop, design and write new and/or revised statistical programs (say in SAS or R) and modeling based on requirements of ongoing research projects; conduct and interpret analyses of research data using descriptive statistics, inferential tests, and advanced statistical methods and models; evaluate and ensure statistical integrity, accuracy and validity of research data; compiles results and provides statistical summaries and reports to principal investigators; assist with grant proposal preparation in study design, sample size calculations, and development of statistical analysis plans; assist with preparation of journal articles, technical reports and other materials for publication and presentation; manage biomedical databases for assigned research projects; read and review appropriate biomedical and statistical papers...
Requirements: Master's degree in biostatistics, statistics or related quantitative field with 6+ years’ experience in design, conduct, monitoring, and analysis of cancer clinical studies, in preparing and reviewing clinical trial protocols, and in preparing grant applications and writing research reports, or doctoral degree with 3+ years’ experience in these areas

Duties: Be responsible for leading the research culture at PMU. The focus of the job will involve own research activities in area of expertise in AI in addition to presenting research findings at conferences worldwide; Seek external funding to support and expand research activities to enhance the prestige and visibility of PMU and to initiate research projects with local industries, government agencies and the community; Be expected to take part in the strategic planning and decision making of PMU’s Center for Artificial Intelligence
Requirements: A PhD degree in computer science, engineering, physics, data science, mathematics or a closely related field; A proven track record of carrying out cutting-edge research demonstrated by publications in top journals/conferences; A proven track record of funding acquisition through grants and/or contracts; Excellent written and verbal communication skills

Duties: The appointees are expected to make significant contribution to teaching at both undergraduate and postgraduate levels; advise postgraduate research students; play an active role in curriculum development and management; maintain an active research profile; actively seek external grants and contracts to support research endeavours; provide service to the School and University governance; contribute to professional engagement, networking, and outreach activities that enhance the academic and professional life of the School
Requirements: A PhD in Data Science/Statistics/Computer Science/Engineering or related disciplines, with a strong research record and promising teaching ability

Duties: Shaping research directions and producing results. Topics include but are not limited to: Deep learning models suitable for deployment on edge devices (e.g., NVIDIA Jetson, FPGA, etc.); Neural Architecture Search (NAS) for minimal deep architectural design; Efficient in-orbit object pose estimation and tracking; Disseminating results through scientific publications; Providing guidance to PhD and MSc students; Providing support in setting up and running experiments in the SnT Computer Vision and the Zero-G labs; Participating in organizing relevant workshops and demonstrations; Participating to teaching activities
Requirements: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.); Broad experience with machine learning algorithms and deep learning concepts; Highly experienced in one or more of the following topics: Efficient deep learning; Neural Architecture Search (NAS); Embedded systems; Jetson-Nano and/or FPGA deployment; Object pose estimation and tracking

Duties: One year appointment teaching all levels of mathematics courses and/or statistics courses. Duties include 12 hours of teaching each Fall and Spring semester totaling 24 hours of teaching per academic year. Courses will be made up of 3 and/or 4 credit hour courses. One year appointment with possible reappointment, pending funding and evaluations
Requirements: Candidates should have a Ph.D. in Mathematics or closely related field. Applicants from all areas of mathematics are encouraged to apply

Duties: Teaching, research, and service responsibilities in the area of applied mathematics and statistics
Requirements: Ph.D. in mathematics, statistics, or a related field

Duties: Post-Doctoral Fellow (A or B) with PhD in Multi-Object Tracking and Robotics
Requirements: PhD (or soon to be awarded) or equivalent industry experience in; Robotics; Signal Processing/Control; Path Planning/Trajectory Planning; Multi-Target Tracking/Multi-Object Tracking; Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches; NeRF