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MoTek Technologies; Mountain View, California, United States

     Published: April 3, 2024   08:47

Duties: You will use your expertise on large-scale machine learning platform infrastructure, and integrate with state-of-art visual recognition technologies, to build a highly scalable deep learning infrastructure. We have aggressive growth goals so the ability to lead a team down the line is a real possibility
Requirements: MS/PhD in Computer Science; Strong C/C++ or Java experience; Knowledge of UNIX systems; Strong knowledge of large-scale machine learning platforms infrastructure

University of Luxembourg; Luxembourg City, Luxembourg

     Published: April 3, 2024   08:43

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

NEC OncoImmunity AS; Oslo, Norway

     Published: April 3, 2024   08:41

Duties: Develope, improve, and maintain Next Generation Sequencing (NGS) data processing pipelines; Develop and maintain frameworks for data ETL and exploration; Maintain, improve, and re-design unit/integration/regression testing framework; Refactor existing source code with focus on optimization and modularization/atomization; Document in a formalized manner the code developed; Actively participate in brainstorming sessions around new feature development; Collaborate with multiple internal interdisciplinary teams
Requirements: Extensive experience in programming languages used for numerical and scientific computing: Python, R, etc; Extensive experience in bioinformatics and/or working with biological or genomics data; Proficiency in Linux and/or bash scripting; A degree of higher education in computer science, Bioinformatics or equivalent studies or extensive similar experience; Proficiency in using common software management tools (git, etc)

University of Pennsylvania (UPenn); Philadelphia, Pennsylvania, United States

     Published: April 3, 2024   08:41

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

UCLA Health; Los Angeles, California, United States

     Published: April 3, 2024   08:41

Duties: The newly formed Cancer Data Sciences group at the UCLA David Geffen School ofMedicine and UCLA Jonsson Cancer Centre is seeking a Senior Bioinformatician with pipeline and data science experience. The successful candidate may be a senior analyst, or a junior one ready to take the next step in their career
Requirements: Master’s Degree in Computational Biology, Computer Science, Biostatistics ora related discipline; Four years’ biological and data science experience

Huston-Tillotson University (HTU); Austin, Texas, United States

     Published: April 3, 2024   08:41

Workload: 100%
Duties: The Instructor of Mathematics is responsible for contributing to the Mathematics Program at Huston-Tillotson University through the teaching of Mathematics courses and must create a stimulating learning environment for both traditional and nontraditional students as well as teach and work with enthusiasm and integrity in accordance with the mission of the University. The ideal faculty member is committed to urban undergraduate education, interested in undergraduate research and has experience in program development
Requirements: Ph.D degree in Mathematics or Mathematics Education with a minimum of 18 hours of graduate level mathematics courses; Prior undergraduate teaching experience required; Demonstrated effective communication and interpersonal skills; Demonstrated sensitivity to academic and cultural diversity; Demonstrated understanding of the mission and vision of the University

BWCI Group Limited; Guernsey

     Published: April 3, 2024   08:41

Duties: Producing high quality regular investment performance analysis and reports; Assisting with the review and implementation of investment options; Using mathematical models to project and compare investment outcomes for different investment strategies; Using mathematical models to project maximum losses; Assisting in the delivery of other non regular reporting and investment consultancy services to clients; Representing BWCI professionally and effectively with clients and investment managers; Checking work of other team members; Providing input into investment related projects and processes including development of mathematical models
Requirements: Maths at A Level (A - B Grade) is essential, English minimum C grade at GCSE; Maths or science based degree is desirable; Good knowledge of Microsoft Office, specifically Word and Excel; If suitable progress is made the successful candidate will be supported through Institute and Faculty of Actuaries exams; Previous experience in a financial services office environment will be an advantage to applicants; Knowledge and experience of visual basic or similar would be advantagous

University of Washington (UW); Seattle, Washington, United States

     Published: April 3, 2024   08:41

Duties: Improving data collection efficiency and accuracy in link-tracing designs (e.g. Respondent driven sampling); Partial graph data collection strategies for networks (e.g. Aggregated Relational Data); Large scale models for anomaly detection on graphs; Developing models to represent structure in networks using low dimensional manifolds; Modeling demographic and health trends in low-resource settings; Developing a decision-making framework for policy decisions based on predictions from statistical and machine learning models
Requirements: Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field

Zürcher Hochschule für Angewandte Wissenschaften (ZHAW); Winterthur, Zürich, Switzerland

     Published: April 3, 2024   07:35

Duties: Research & development at the ZHAW focuses on key societal challenges, with a particular emphasis on energy and societal integration. With its expertise in sustainable development and digital transformation, the ZHAW imparts forward-looking knowledge and takes an active part in shaping the digital and ecological transformation. With locations in Winterthur, Zurich and Wädenswil, the ZHAW is firmly anchored in its region whilst collaborating with international partners
Requirements: ZHAW 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"

SMA und Partner AG (SMA); Frankfurt am Main, Hessen, Germany

     Published: April 3, 2024   07:34

Duties: Eigenständiges Erstellen von Untersuchungen unter der Führung eines Projektleiters: Planung von Angebotskonzepten, Erstellung von Kapazitätsanalysen und Betriebsstudien, Bewertung von Verkehrsprojekten; Anwendung der Planungs- und Simulationssoftware; Erstellung von Berichten und Präsentationen
Requirements: Hochschulabschluss in einer ingenieurwissenschaftlichen Disziplin; Erste Berufserfahrung; Kenntnisse der Eisenbahnbranche; Lösungsorientierte Persönlichkeit mit Freude an der Projektarbeit; Sehr gute Deutsch- und Englischkenntnisse, weitere Sprachen von Vorteil

Aarhus University (AU); Aarhus, Jutland, Denmark

     Deadline: April 22, 2024 | Published: April 2, 2024   14:46

Duties: Specific focus areas include psychiatric disorders as well as clinical and social outcomes, but specific tasks may depend on applicant. The positions will generally involve various data analyses using Danish register data and/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development of computational methods
Requirements: Background in biostatistics, psychiatric epidemiology, pharmaco-epidemiology, or related fields, with a relevant PhD degree (required); Background in data science, statistics, psychiatric epidemiology, or related fields, with a relevant PhD degree (required); Experience in psychiatric disorder research (preferred); Experience with the analytic methods applied in epidemiology

Swedish University of Agricultural Sciences (SLU); Uppsala, Uppsala County, Sweden

     Deadline: April 12, 2024 | Published: April 2, 2024   14:38

Duties: The employment is part of the project Genetic basis of adaptive response in conifers, which aims to understand the genetic basis of climate adaptation in conifers, and in an applied context, predict individuals that can make locally adapted populations more resistant to changing climates. The student will analyze a large spatially nested dataset of sequenced Norway Spruce (Picea abies) from across Europe for insights into the population dynamics of managed and natural populations
Requirements: The applicant must have a masters degree and experience in bioinformatic and population genetic analysis using reduced representation and whole genome sequence conifer data. The candidate must have very good knowledge of R and bash. Very good skills in written and spoken English is obligatory

VTT Technical Research Centre of Finland Ltd (VTT); Otaniemi, Uusimaa, Finland

     Deadline: April 14, 2024 | Published: April 2, 2024   14:37

Duties: Perform and lead research on AI & cybersecurity; Actively contribute to our strategy on AI & cybersecurity research; Support knowledge building in the team; Continuously acquire knowledge and learn new skills; Participate in research projects, commercial and public, on both a national and international level
Requirements: You have a PhD degree in machine learning, cybersecurity, computer science, mathematics or another relevant field; You have a track record of research publications in machine learning, cybersecurity, or other relevant publication venues; You have practical hands-on experience in applying machine learning to solve cybersecurity challenges (or other types of challenges)

University of Southampton (Soton); Southampton, Hampshire, United Kingdom

     Deadline: April 24, 2024 | Published: April 2, 2024   14:17

Duties: We are seeking applications for a research fellow at the University of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in the area of Bayesian deep learning. The position is available on a fixed term basis for 36 months due to funding restrictions
Requirements: We are seeking candidates with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and demonstrable experience with: Bayesian deep learning; Development of custom modules using GPU-accelerated APIs for deep learning (e.g., Pytorch); and; Development of bespoke data loaders and pipelines

Università di Bologna; Bologna, Italy

     Deadline: April 23, 2024 | Published: April 2, 2024   14:10

Department: Engineering
Duration: temporary
Duties: The researcher will carry out advanced geostatistical analyses on the MINEYE case studies and the main variables of interest, which can be acquired in various forms, both direct (e.g.: sampling, blastholes, borehole logs) and indirect (e.g. remote sensing and geophysical techniques). for this objective, the most appropriate measurement technologies and the local, territorial and remote available information will be considered. The research will perform 3D reconstruction of the metal concentrations in the various case studies, making use of the most modern geostatistical techniques, both using the advanced softwares, available at UNIBO (e.g.: “Isatis.Neo”) or developing new tools when necessary, by using “R” or other programming codes. The researcher will actively participate in the adoption and development of the optimal methodologies for the correct technical, economic and environmental monitoring of the case studies
Requirements: Experienced researcher or 4-10 yrs (Post-Doc)

University of Oxford; Oxford, Oxfordshire, United Kingdom

     Deadline: April 15, 2024 | Published: April 2, 2024   14:05

Duties: The overall project aims to develop computer models and perform high performance computing studies of the human heart to better understand structural heart disease, and in particular the deadly inherited heart condition known as Hypertrophic Cardiomyopathy (HCM)
Requirements: Candidates would ideally hold a relevant PhD/DPhil (or close to completion) in Biomedical Engineering, Computer Science or Mathematical Biology. Having an experience of working in multiscale cardiac modelling and experience of C, FORTRAN or equivalent general-purpose programming language(s) are within the essential criteria

University of Leeds; Leeds, West Yorkshire, United Kingdom

     Deadline: April 24, 2024 | Published: April 2, 2024   14:00

Duties: We are seeking a talented researcher in Statistics to join the Department of Statistics within our School of Mathematics. This role is part of ongoing investment by the University in the areas of Statistics and Data Science. You will be joining a large Department of Statistics comprising around 27 staff with research interests in Statistics, Data Science, Statistical Bioinformatics, Financial Mathematics and Probability
Requirements: As a Lecturer, you will carry out research, teaching and associated administration within the School, Faculty and University and contribute to academic leadership in the field of Statistics. For appointments at Associate Professor Level, you must also be able to demonstrate international standing in your field, a track record of successful and substantive grant applications, the capacity to deliver an outstanding student experience and an ability to undertake successful academic leadership

University of Southampton (Soton); Southampton, Hampshire, United Kingdom

     Deadline: April 25, 2024 | Published: April 2, 2024   13:53

Duties: We will build a digital shadow for the UKs economy which constantly ingests data from many sources, generates potential adverse scenarios, models and labels the scenarios, and uses new and existing machine learning methods to build intelligent and proactive risk models. The diverse set of modelling, learning, and data management components will run on a heterogenous cloud, using an approach called event triggered computing to execute and manage computation
Requirements: You should have a PhD or equivalent experience in an area related to computational systems, either in theoretical or applied engineering. Due to the open ended nature of the research we do not require any specific research specialism, but you should have made research contributions in a related area, such as: networking, cloud architectures and systems, distributed computing, high-performance computing, or formal verification

University of Southampton (Soton); Southampton, Hampshire, United Kingdom

     Deadline: April 24, 2024 | Published: April 2, 2024   13:43

Duties: We are seeking applications for a research fellow at the University of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in the area of deep representation learning for audio data. The position is available on a fixed term basis for 18 months due to funding restrictions, with the possibility to extend the contract for another 18 months
Requirements: We are seeking candidates with a Ph.D. (either awarded or nearing completion) or equivalent professional qualification and experience in Machine Learning, Statistics, or a related field, who have in-depth knowledge in and demonstrable experience with: Recent deep learning techniques, including, e.g., diffusion models and attentional models; Development of custom modules using GPU-accelerated APIs for deep learning (e.g., Pytorch); and; Development of bespoke data loaders and pipelines

Luxembourg Institute of Socio-Economic Research (LISER); Esch-sur-Alzette, Belval, Luxembourg

     Published: April 2, 2024   12:57

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

Luxembourg Institute of Socio-Economic Research (LISER); Esch-sur-Alzette, Belval, Luxembourg

     Published: April 2, 2024   12:55

Duties: Participer activement aux projets mentionnés; Interagir avec les partenaires considérés au niveau des différents projets susmentionnés; Participer à la gestion quotidienne des projets (collecte, traitement et analyse des données), y compris les activités de sensibilisation du public, les visites de sites, les ateliers des parties prenantes, la communication sur les réseaux sociaux, etc; Développer des enquêtes et assurer leur suivi avec les partenaires; Analyser les données d’enquêtes et les fichiers administratifs disponibles; Publier, co-publier et communiquer les résultats à travers différents supports (rapports et articles scientifiques, conférences publiques ou académiques…)
Requirements: Master en géographie urbaine et quantitative (ou équivalent); Avoir une expérience avérée dans des études ou travaux de recherche traitant d’une ou plusieurs des thématiques suivantes: problématique énergétique, développement urbain, mobilité quotidienne; Avoir une expérience avérée dans la pratique de méthodes quantitatives, de cartographie, d’analyse spatiale et de programmation; Excellente maîtrise et expérience avérée dans les SIG (type ArcGis ou Q-GIS), les logiciels statistiques (types SAS ou R) et la cartographie thématique; Bonne expérience d’analyses statistiques quantitatives, que ce soit descriptive ou analytique; Disposer d’une expérience professionnelle au sein d’organismes dans le domaine public en lien avec des travaux d’études (par ex. bureau d’études, institut public de recherche…); Une expérience dans le design d’enquêtes à large échelle (questionnaires quantitatifs, sous différents formats; web, papier…; ) est souhai...

Eidgenössische Finanzmarktaufsicht (FINMA); Bern, Zürich, Switzerland

     Published: April 2, 2024   12:43

Workload: 80-100%
Duties: Sie sind die zentrale Ansprechstelle für Data Governance in der FINMA; Sie koordinieren die übergreifende Umsetzung der Data Governance, entwickeln diese strategisch weiter und erstellen KPI-basierte Reportings; Sie unterstützen und fördern die Implementierung von Prozessverbesserungen zur Automatisierung, Standardisierung und Vereinfachung von Prozessen und Kontrollen unter Nutzung moderner Technologien; Gemeinsam mit unseren SiBEs Informationssicherheit und Cyber Security stellen Sie die Einhaltung der FINMA-weiten Standards im Datenschutz und in der Informationssicherheit sicher; Sie arbeiten bereichsübergreifend mit den Datenverantwortlichen zusammen, verantworten das Datenqualitäts-Monitoring und leiten Massnahmen zur Verbesserung der Datenqualität ab; Sie leiten die Fachgruppe Datenmanagement
Requirements: höhere Weiterbildung in Wirtschaftsinformatik (HF, FH oder Uni) oder einer verwandten Studienrichtung oder vergleichbare Aus- und Weiterbildung; Idealerweise Weiterbildung im Bereich der Data Governance; Mehrjährige Erfahrung im Bereich Data Management/Data Governance; Praktische Erfahrungen im Umgang, der fachlichen Verarbeitung und Analyse von Daten oder datenbezogenen Geschäftsprozessen; Vertiefte Kenntnisse von Reporting- und Data Governance Standards, sowie von Managementpraktiken (Datenqualität, -vertraulichkeit, -pflege, KI, Data Science, Zugänglichkeit und Stammdatenverwaltung); Gute Kenntnisse zu Schwerpunktthemen der Data Governance wie Meta-Data Management, Data-Quality Management, Data Analytics, Data Warehousing oder Business Intelligence; Sehr gute Kenntnisse im Bereich der Datenmodellierung mit tiefem Verständnis über Geschäftsprozesse

University of Luxembourg; Luxembourg City, Luxembourg

     Published: April 2, 2024   12:35

Workload: 70%
Duties: The technician will perform: Some numerical simulations of models of thermodynamically consistent pulsating active matter; This will include large scale simulations using the High Performance Computer available free of charge in Luxembourg; The main task will be to write and optimize numerical codes, and to run an efficient search in parameter space to identify relevant regimes where deformation waves develop
Requirements: Scientist with a background in physics with a Bachelor degree; Very good grades and references; Fluent in English; Good communication skills with ability to discuss with students and teaching staff; Proficiency in working and communicating in a multicultural environment

University of Luxembourg; Luxembourg City, Luxembourg

     Published: April 2, 2024   12:29

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

University of Luxembourg; Luxembourg City, Luxembourg

     Published: April 2, 2024   12:27

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

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