Duties: The Department of Mathematics and Statistics at the University of North Florida invites applications for a one-year Visiting position in Mathematics and Statistics (Position#312283) that will begin August 2022 for the 2022-23 academic year
Requirements: Applicants should have at least a Master in Mathematics or Statistics; Master in Mathematical Education or Master of Arts in teaching with at least 18 graduate credits hours in mathematics or Statistics. Successful candidates must have a strong interest and ability in teaching undergraduate courses such as introduction to mathematics, statistics, and upper division courses based upon the candidate’s expertise. The teaching load is 12 credit hours per semester. This position will be a 1-year appointment with a 9 month contract

Duties: We are looking for a highly motivated and ambitious PhD candidate who is interested in research at the frontiers of complex fluids, non-Newtonian Fluid Mechanics, soft matter, bubbles, droplets, and mathematical and computational fluid mechanics
Requirements: A MSc degree in one of the followings fields: physics, mechanical or chemical engineering, applied mathematics, fluid dynamics, material sciences; Previous experience in mathematical and/or computational fluid dynamics. Experience in using open-source codes such as basilisk is an advantage, but not necessary. However, you should be excited about the prospect of developing open-source computational fluid dynamics codes; Demonstrated experience with programming (C, C++, Python, …) and data analysis in physics

Duties: do original research in the field of tensor networks applied to strongly correlated systems; contribute to the UvA’s Master programme as a teaching assistant; play an active role in the group, including supervision of Bachelor and Master students; participate in the CMT group activities (such as seminars, discussions, journal clubs, etc.); present you results at international workshops and conferences
Requirements: a Master degree in theoretical physics, with a focus preferably in (computational) condensed matter physics; a background in quantum many-body physics and numerical approaches (ideally knowledge/experience in tensor network methods); solid programming skills; the ability to work independently and to collaborate in a collegial research environment; a highly motivated, passionate, and creative attitude; excellent written and oral English communication skills

Duties: The Computational Mathematics Group at the University of Zurich has openings for a PhD position (3+1 years) and a PostDoc position (2+1/2 years) in the field of numerical analysis of wave propagation problem and of non-conforming discretizations of flow problems
Requirements: Master/diploma in Mathematics, PhD in Mathematics for the PostDoc position, very good knowledge in numerical analysis and good knowledge in programming

Workload: 50%
Duties: Entgegennahme und Priorisierung von Aufträgen via Telefon oder E-Mail von Mitarbeiterinnen und Mitarbeitern der oben genannten Bereiche oder von Dozierenden und Studierenden; Ausführung von Access- und User-Account Management anhand von Aufträgen; Analyse von Störungen und Erfassung im Ticketsystem (Top Desk); Weitgehend selbständige Behebung der Störungen im ICT-Bereich (1st-Level-Support); Weiterleitung von Problemen an zentrale oder dezentrale 2nd-Level-Support-Einheiten; Kontinuierliche Orientierung der Kunden über den Verlauf ihrer Störungen; Führen, Weiterentwickeln und Pflegen der Lösungs- und Wissensdatenbank; Mitarbeit beim Ausbau des Service-Angebots; Servicezeiten von 07: 00 - 19: 00 Uhr teilweise auch samstags von 08: 00 - 12: 00 Uhr
Requirements: Sie bringen eine abgeschlossene Berufsausbildung und Erfahrung im Bereich Service Desk und IT Support mit. Zudem verfügen Sie über eine systematische, exakte Arbeitsweise und setzen gekonnt Prioritäten. Ihre analytischen Fähigkeiten helfen Ihnen, bereichsübergreifend mitzuarbeiten. Sie sind eine offene und kommunikationsstarke Persönlichkeit, die auch unter hoher Belastung freundlich, kunden- und lösungsorientiert reagiert. Sehr gute Deutschkenntnisse in Wort und Schrift setzen wir voraus

Duties: Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications
Requirements: Bachelor in Computer Science or related; Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology; Strong background in software testing and formal methods applied to software engineering, such as, propositional/temporal logic, sat solving, model checking, etc; Strong analytical skills; Industry experience in information and communication technology will be considered as an advantage; Commitment, team working, a critical mind, and motivation are skills that are more than welcome

Duties: The successful applicant will be integrated in the research group COIN, a recently established research group in the University of Luxembourg. The doctoral student will be a member of the Doctoral School for Science and Engineering (DSSE) offering a Doctoral Program in Computer Science, aiming to provide interdisciplinary and internationally competitive research training
Requirements: Master’s degree in Computer Science or related disciplines; Proven experience (e.g. via publications or personal projects) in Machine Learning and/or Human-Computer Interaction; Familiarity with Reinforcement Learning and Adaptive User Interfaces will be appreciated; Language: Good commandment of English is a must

Workload: 80-100%
Duties: Applikationssupport für RIS/PACS inklusive Sekundärsysteme; Basisdatenpflege und Schulung RIS/PACS; Benutzerverwaltung und Datenkorrekturen RIS/PACS; Projektmitarbeit bei strategisch wichtigen IT-Vorhaben der Radiologie; Koordination zur ICT-Schnittstelle; Teilnahme am Pikettdienst
Requirements: Erfahrung im Support von Applikationen und/oder RIS/PACS; Eine flexible Persönlichkeit mit abgeschlossener Ausbildung als (Wirtschafts-) Informatiker*in, Radiologiefachperson HF oder Medizintechniker*in HF; Vertiefte Kenntnisse im Bereich DICOM, weitere Kenntnisse HL7 und IHE wünschenswert; Hohe Kommunikationsfähigkeit und Freude am Kundenkontakt; Ausgeprägte Dienstleistungsorientierung; Verantwortungsbewusstsein, Selbständigkeit und Zuverlässigkeit; Fähigkeit, innerhalb verschiedener Berufsgruppen teamorientiert zu arbeiten

Workload: 80-100%
Duties: Du bist Teil der zentralen Anlaufstelle rund um alle Dienstleistungen der IT; Du nimmst Incidents und Service Requests aus unserer Applikations- und Infrastruktur-Umgebung entgegen, erfasst und bearbeitest diese in unserem Tickettool und bietest Lösungen per Remote-Zugriff und vor Ort an. Bei Bedarf übergibst du Tickets an weitere Support Levels; Deine Erfahrung und Freude im direkten Kundensupport hilft dir allgemeine Anfragen gekonnt zu bearbeiten, Bestellungen abzuwickeln und zu beraten, sowie unsere internen Mitarbeitenden zu unterstützen; Als Retter in Not leistest du regelmässigen Pikettdienst in der Nacht, an Wochenenden sowie Feiertagen, um betriebskritische Störungen entgegenzunehmen, zu lösen oder entsprechend weiterzuleiten; Du stellst das Life Cycle Management von unserem Electronic Workplace (HW, SW) sicher (Evaluation, Installation, Betrieb, Wartung, Support) und betreust die Druckerumgebung (Managed Print Services); Du verfasst Meldungen bei Störungen und Ausfäll...
Requirements: Du verfügst über eine abgeschlossene Informatikausbildung oder Berufslehre mit relevanter Weiterbildung; Du bist versiert im Umgang mit einem Trouble-Ticket-System und die Prozesse der Service Operation sind dir vertraut (ITIL Kenntnisse von Vorteil); In deiner bisherigen Laufbahn hast du dir fundierte Kenntnisse im Bereich Microsoft-Betriebssysteme, Office-Applikationen und Netzwerkdienste angeeignet; Du arbeitest bei hoher Autonomie zuverlässig und strukturiert und bewahrst auch in hektischen Situationen die Übersicht; Du verfügst über sehr gute Deutschkenntnisse (mündlich und schriftlich); Gute Englischkenntnisse sind von Vorteil

Duration: 1.5 y       
Workload: 100%
Duties: The researcher will participate to an exciting research project in collaboration with Predictive Layer, which is specialized into time series forecasting, using artificial intelligence and machine-learning to solve business problems. It processes its clients’ data with exogenous data to make near-term forecasts. The systems to be developed under the research projects are based on forecasting time series data. Fluctuations and trends of financial target signals result from strong dynamic interactions with the external environment whose underlying factors are constantly changing in their relative contribution
Requirements: PhD in mathematics (possibly related to data science and machine learning algorithms), eventually in statistics, theoretical physics or theoretical computer science with excellent academic and publication records; Very good knowledge of Python; Excellent writing and verbal communication skills, as well as presentation skills. Besides proficiency in English, creativity, innovative and independent thinking is a must

Duties: Ihr Meilenstein auf dem Weg zur Professorin! PRIMA-Beiträge richten sich an hervorragende Forscherinnen, die ein hohes Potenzial für eine Professur aufweisen. PRIMA-Beitragsempfängerinnen sind mindestens auf dem Niveau einer Gruppenleiterin angestellt und führen ein Forschungsprojekt mit einem eigenen Team an einer Schweizer Forschungsinstitution durch
Requirements: haben ein Doktorat (PhD) oder können eine mindestens dreijährige Forschungstätigkeit nach dem Hochschulabschluss (Äquivalent zum Doktorat) ausweisen und verfügen über mindestens zwei Jahre Forschungserfahrung nach dem Doktorat oder der äquivalenten Qualifikation zum Doktorat; oder haben einen medizinischen Abschluss (Staatsexamen oder äquivalenter Abschluss) und verfügen über mindestens drei Jahre klinische Tätigkeit und mindestens zwei Jahre Forschungstätigkeit nach dem medizinischen Abschluss

Duties: Management von Sicherheitsschwachstellen und -massnahmen sowie Mitarbeit in den operativen Sicherheitsprozessen und bei der Sicherheitsvorfallbearbeitung; Beraten und Unterstützen der Fachbereiche bei sicherheitsrelevanten Projekten und bei der Schutzbedarfsanalyse; Begleiten von externen Sicherheitsanalysen; Erkennen und Analysieren von Sicherheitsvorfällen im SIEM u.a; Durchführen von Security-Awareness-Massnahmen sowie interner Audits und Informationssicherheitsrisikoanalysen; Mitarbeit bei der laufenden Weiterentwicklung des Informationssicherheitsmanagementsystems (ISMS)
Requirements: Abgeschlossenes Studium der Informatik, Mathematik oder ein vergleichbares Studium mit Schwerpunkt der Informationssicherheit; Berufserfahrung im Bereich der IT- bzw. Informationssicherheit; Praktische Erfahrung im Bereich Netzwerksicherheit; Idealerweise Kenntnisse und Fähigkeiten in den Bereichen Security Incident Response und Schwachstellenmanagement; Idealerweise Grundkennnisse im gesetzlichen und regulatorischen Rahmen der Informationssicherheit (ISO/IEC 2700x, VAIT-, u. a.); Fähigkeit zu analytischem und konzeptionellem Arbeiten; Hohes Mass an Sozialkompetenz sowie kommunikative Fähigkeiten

Duties: The focus of the PhD project will be on mathematical/algorithmic innovations and control theory, but a close link with engineering applications will be ensured throughout their execution, which enables a validation of the obtained results and algorithms and may inspire novel research questions. In this respect, the PhD project benefits from the unique position of the hosting NUMA section as a very large applied mathematics center operating within a Faculty of Engineering Science, and it is well integrated with the many collaborations and ongoing projects on both the methodological and application side
Requirements: The ideal candidate has a Master degree in mathematics (applied, computational mathematics) or a Master degree in Engineering (Control, Mechanical, Electrical, Mathematical Engineering). Applicants whose mother tongue is not English, must present an official language test report. Prerequisites are a good basis knowledge of linear algebra and differential equations, a strong interest in a mathematically oriented project, enthusiasm and a critical mindset. Familiarity with control theory and good programming skills are not required but could be an advantage

Duties: Drives all statistical aspects of biomarker development for Takeda R&D assets for Oncology Cell Therapy and TA covering design and analysis from pre-clinical to early clinical studies; Drives data driven decision making in multidisciplinary team environment (comprising of preclinical, biomarker, translational and clinical scientists, and computational biologists and quantitative pharmacologists) by providing high level of statistical rigor to the analyses and interpretation of complex data generated by translational teams; Independently provides strategic and expert statistical input to drug development including feasibility assessments, development plans, complex study designs, cross-study analyses including statistical methodology, interpretations, regulatory submissions and follow up
Requirements: PhD in statistics/biostatistics or in bioinformatics with an emphasis on statistics with at least 6 years of relevant industry experience or MS in statistics with at least 10 years of relevant industry experience; Expert knowledge across broad areas of statistical methodologies inlcuding subgroup analysis, longitudinal data analysis, multivariate methods, predictive modeling, machine learning, Bayesian modeling. Strong background in statistical modeling in R or SAS with the ability to independently code relevant programs

Workload: 100%
Duties: Teaching a normal load of 3 to 4 courses (12 credits) per semester including upper and lower division courses Leading the Applied Mathematics Emphasis
Requirements: PhD in Mathematics or closely related discipline as of the starting date for the position; Experience or credentials in teaching a wide range of lower and upper division Mathematics courses including numerical methods, differential equations, and mathematical modeling

Workload: 100%
Duties: The College of Computer and Information Science (CCIS) at Prince Sultan University aims to provide world-class education in Computing, Information Systems, and Engineering for both undergraduate and graduate programs. The College offers Bachelors of Computer Science, Bachelors of Information Systems, Bachelors of Software Engineering, Master of Software Engineering, Master of Cybersecurity programs, and soon Ph.D. program. The Bachelor of Computer Science program and the Information Systems programs are ABET-accredited, the Software Engineering Program is expected to attain ABET accreditation status in 2022
Requirements: Qualified Candidates with suitable experience in academic and industry who are able to contribute in the areas of: Cybersecurity Governance, Risk Management, Compliance; Cryptography (applied and quantum) and IT privacy; Cybersecurity in emerging technologies and distributed systems such as blockchain, IoT, AI; ISO, NIST, COBIT, and related international standards; Cyber-Physical System Security, Penetration Testing, and Ethical Hacking

Duties: Carry out research in the area of Computer Vision/Machine Learning; Participation in currently active research projects in the MRG; Development of new algorithms, that includes implementation, data gathering, testing, and demonstration; Preparation/presentation of research papers; Preparation/Submission of research proposals; Participation in innovation activities related to the exploitation of research outputs
Requirements: Bachelor's degree and postgraduate degree in a relevant field (Computer Science, Computer Engineering, Data Science, Multimedia) from an accredited institution; Ph.D in a relevant field (e.g. Computer Science, Computer Engineering, Data Science, Computer Vision, Machine Learning, Multimedia) from an accredited institution will be considered an advantage; Strong computer programming skills (e.g. Python, Matlab, C/C++); Prior experience with Machine Learning/Use of Deep Learning Libraries (e.g. Tensorflow, Pytorch etc.); Prior experience in a research position will be considered an advantage

Duties: Using your quantitative analysis and modeling skills you’ll explore and exploit data sources through the use and creation of scientific processes and technologies to uncover and communicate business insights. Apply advanced consulting skills and extensive technical expertise; full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction; mentors and may supervise team members. You’ll provide detail-oriented and organized analytics and models using excellent verbal and written communication skills
Requirements: Degree in Mathematics, Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is preferred; Experience with developing requirements and building statistical or simulation models; Experience with scripting or scientific languages and software, including Python, R, MATLAB, @RISK, ARENA, or SAS; Experience with Free Open-Source Software and Commercial Off-The Self Software products in statistics, Monte Carlo or discrete event simulation, extract, transform, and load Extract, Transform, Load processes, and quantitative workflow automation

Duties: Recueillir et analyser la pertinence des données; Envoyer des requêtes SQL pour interagir avec les bases de données; Élaborer des modèles prédictifs afin d'anticiper les évolutions des données et des tendances; Créer des tableaux de bord adaptés afin de rendre les résultats lisibles et exploitables par tous les métiers; Veille technologique (collecte de données, plateformes de traitement, expérimentation)
Requirements: De formation Master ou école d’ingénieur avec une spécialisation en statistiques, machine learning, software engineering. Vous justifiez d’une expérience d’au moins 3 ans en tant que Data scientist et/ou un poste similaire

Duties: Peraton is seeking Cryptologic Computer Scientists to join its Cyber Mission Business Unit in the support the Intelligence Community (IC) Cyber missions. You will apply your skills to identify and solve complex technology problems by applying and adapting theoretical principles to develop new software and/or hardware solutions. Design develop deliver and operate solutions to hard cryptologic computer science problems within a scientific framework
Requirements: Master’s Degree in Computer Science and 3+ years of experience, Bachelor’s degree in Computer Science and 5+ years relevant experience. An Associate’s degree in Computer Science plus 7+ years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position; Experience in computer systems research, simulation and model development and prototyping; Experience with software design, programming, computational science, algorithm analysis and design, reverse engineering, or designing developing computer or information systems; Experience with engineering hardware and software required; TS SCI with polygraph required

Workload: 100%
Duties: The Department of Mathematics, College of Arts and Science, at Embry-Riddle Aeronautical University - Prescott, invites applications for a full-time tenure-track position to begin in August 2022. Embry-Riddle's Prescott Campus is respected worldwide for cutting-edge instruction and training for tomorrow's aviation, aerospace, security and intelligence leaders
Requirements: The successful candidate must hold a doctorate in mathematics, data science, or a closely related field at the time of appointment. Preference will be given to applicants with credentials and/or research interests in data science. We seek an energetic individual who will join our growing department of sixteen faculty members to help continue our tradition of excellence in teaching and scholarly activities

Duties: Securing/Hardening an Information System by applying Security Control Technical Implementation Guides (STIGs); Utilizing vendor patches (updates) regularly and on schedule; Providing robust and logical justifications for any deviations to ATO requirements; Analyzing raw data, artifacts and documentation for reporting to stakeholders; Vulnerability scanning via Nessus/ACAS/QUALYS and other tools and reporting results. (Analysis, mitigations and deviation justifications of CVE’s to produce and IAVM Report); Demonstrating the ability to work in a close-knit Team environment; Working with team members with diverse skill sets and experience. (e., mentoring Jr. members and being mentored by Sr. members)
Requirements: CompTIA Security+ CE Certification; 5+ years of experience with a combination of IT and Cybersecurity; Technical experience in Win 10 & Linux Operating Systems/Fedora/Mac OS/Chrome OS); Policy creation and maintenance experience; Professional verbal and written communication skills; Experienced in the use of MS Office Suite tools (MS Outlook, Word, Excel, & PowerPoint)

Duties: The Department of Mathematical Sciences at the University of Cincinnati is seeking applicants for multiple Visiting Assistant Professorships to teach courses in mathematics and/or statistics at the undergraduate level. Appointments will begin on August 15th, 2022 and will initially be for one year with the possibility of renewal for a second year. Teaching load will nominally be 12-15 credit hours distributed over the Fall and Spring semesters, and may include courses that are 3, 4 or 5 credit hours. There may be the opportunity to conduct research, with priority given to those with research interests in, but not limited to, the areas of Analysis, Applied Mathematics, Statistics, and Probability
Requirements: Candidates must have a PhD in mathematics, statistics, or a closely related field prior to the effective date of the appointment

Duties: Program statistical analyses (i.e., tables, listings, figures, and inferential statistical output) using SAS®; Act as an integral member of project team. Attend project team meetings; work with biostatisticians, data managers, and project managers; Perform SAS® programming using such techniques as SAS® macro language, advanced data manipulation techniques, and statistical procedures (e.g., PROC GLM, PROC FREQ, PROC REPORT); Perform quality review of SAS® programs generated by other statistical programmers and biostatisticians; Review and provide feedback regarding Data Management Plans; Interact with technical and clinical staff in house and with sponsors
Requirements: MS/MA or equivalent in statistics, biostatistics, or related field; 1 year experience in statistics, biostatistics, or related field preferred; Strong knowledge of SAS® programming language; Knowledge of medical and statistical terminology; Detail-oriented; Familiarity with coding dictionaries (WHO, COSTART, ICD-9, MedDRA)

Duties: The Department of Mathematics at William & Mary, a public university of the Commonwealth of Virginia, invites applications for (one or more) one-year, non-tenure-track visiting instructional position that will begin August 10, 2022
Requirements: A Ph.D. or ABD is required in Mathematics or a related discipline by the time of appointment (August 10, 2022)