Jobs Posted on the Whova Community Board of ISF 2024: Dijon, France | June 30-July 3
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JR 0119188 Lecturer in Business Analytics (Research and Teaching)(Level B) at the University of Sydney
The University of Sydney Business School We are looking for a Lecturer in Business Analytics (equivalent to a tenure-track Assistant Professor in North America) who possesses:
a PhD in Econometrics, Statistics or ... a related field an active research program with significant potential for future publications in field of specialisation evidence of high-quality teaching potential in field of specialisation and interest in or potential for teaching in interdisciplinary teams demonstrated capacity to stimulate, actively engage and educate a range of audiences using various media capacity to contribute to curriculum development potential for engagement and collaboration with partners from industry and government evidence of successful teamwork and a collegial approach. To be considered for this position, please provide a CV and a cover letter which demonstrates your suitability and enthusiasm for this role. These will provide evidence of how your experience and scholarship aligns with the role and should be uploaded online, along with a job market paper, three reference letters and any other supporting documents.
Adelyce Vous souvenez-vous de la dernière fois que vous avez essayé de traverser la bureaucratie française pour obtenir un financement, un projet ANR, etc ? C'est pour ce genre de démarch... e que j'ai besoin de votre aide.
Adelyce est une entreprise française leader dans le pilotage de la masse salariale des collectivités territoriales. Nous accompagnons les élus locaux et les structures publiques pour les aider à anticiper correctement leurs dépenses.
Nous sommes à la recherche de quelques experts en forecasting pour évaluer et attester de la pertinence de travaux menés plusieurs années auparavant, en vue de la constitution d'un dossier pour l'obtention de financements publics de R&D. Il s'agit de deux ou trois jours de travail, à l'issue desquels un rapport d'expertise devra être produit.
Si vous vous dites que ça a l'air ennuyeux et rébarbatif, vous avez probablement raison :-) Mais au moins vous en apprendrez un peu sur ce domaine, et vous donnerez un coup de main à une entreprise qui essaie d'améliorer la gestion des finances publiques.
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Scientific Researcher (2 positions)
University Duisburg-Essen, House of Energy Markets and Finance You will have the opportunity for own scientific further qualification (esp. PhD) with numerous support offers, doing research in projects on data science methods for energy syste... ms and markets. You will receive individual supervision of your scientific work at the highest level, which will enable you to publish in international first-class journals. We offer a friendly working atmosphere in an innovative and digital-savvy team.
Startree.ai Disclaimer: not focused on forecasting. Focus is on TS anomaly detection and data mining. There were interesting anomaly detection presentations today at the conference so sha... ring here. The core product of my company is the Apache Pinot database. We provide a downstream product, ThirdEye, that monitors data inside the database tables. We model some metrics as univariate timeseries and monitor them. Monitoring frequencies are between 1 minute and daily, and there are thousands of such timeseries, so there are interesting challenges, in particular: - robustness: things should work with minimal configuration and zero user labels. - speed: we provide simulation of detection configuration that takes a few seconds max. Detection for a single point takes a few milliseconds max. - more open projects: like root cause analysis, hierarchical anomaly detection, feedback loop, etc… - a fair amount of more standard backend engineering: maintaining a REST api An important part of the job is also to understand users needs and help them be successful. I found that backend engineers without a data science / ml background often struggle with this. Based on your background you could lean more towards customer success / TS analysis or more towards a more classic backend role. Code is in Java so we tend to reimplement TS algorithms. Some examples of algos we use: robust ets, hamper filter, matrix profile. Knowing Java is obviously not a requirement.
Link:https://boards.greenhouse.io/startree/jobs/4786884004See More >>
PhD
The Hong Kong Polytechnic University We are thrilled to announce that we are recruiting 2 PhD students with full scholarship in the field of Tourism Demand Forecasting in School of Hotel and Tourism Management at The... Hong Kong Polytechnic University (PolyU-SHTM). This is an incredible opportunity to be part of a world leading institution and engage in cutting-edge research with a specific focus on machine learning forecasting with multimadal data and hierachical forecast. The stipend is HK$18000 per month with exta conference funding and associate funding.
Link:https://www.polyu.edu.hk/shtm/people/academic-staff/anyu-liu/See More >>
PhD or Postdoc in Physics-informed Wind Power Forecasting
Carleton University A PhD or Postdoc position in physics-informed deep learning for wind power forecasting is open in the APEX lab at Carleton University in Ottawa, Ontario, Canada. The ideal candida... te will have experience in one, or more, of the following areas: -Deep learning, auto-encoders, anomaly detection -Numerical Weather Prediction (NWP) modeling, Computational fluid dynamics -Wind power forecasting methods -Big data analytics, algorithm parallelization, database development
Applications are welcome from all areas of engineering, applied math and computer science, and are especially encouraged from under-represented groups including, but not limited to: women; visible minorities; First Nations, Inuit and Métis peoples; persons with disabilities; and persons of any sexual orientation, gender identity and/or expression.
A background in Python programming is considered a strong asset. The start date is negotiable, ideally commencing in Winter/Spring 2025 or Fall 2025.