**Company: Institut Mines-Télécom Business School Job Description Summary: Telecom Paris, a school of the IMT, is looking for a new Lecturer specialized in Deep Learning for Multimodal Data. The ideal candidate will have a PhD in computer vision, machine learning, or signal processing, with strong international experience. Fluency in English is required, and French is not mandatory. Experience in university teaching is desirable. The position offers 49 days’ annual leave, flexible working hours, teleworking options, and other benefits. Deadline to apply is October 12th, 2024. Job Description: Who are we? Télécom Paris, a school of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of the top 5 French general engineering schools. The guiding mission of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and economy that respect people and their environment. We are looking for a new Lecturer specialized in Deep Learning for Multimodal Data for our Images, Data and Signal (IDS) department at Télécom Paris. As a member of our dynamic team, you will contribute to research and teaching in a stimulating and innovative environment. Your main missions will be to : • Participate in cutting-edge research projects in deep learning applied to multimodal data • Teach and mentor students in the field of deep learning and multimedia technologies • Collaborate with researchers and industry professionals to develop innovative solutions • Contribute to the publication of… scientific articles and the dissemination of research results The ideal candidate will hold a PhD in computer vision, machine learning or signal processing, with an excellent publication record and solid international experience. He/she will demonstrate competence in deep learning for multimodal data, computer vision and video processing. Qualities such as team spirit, autonomy, motivation, as well as the ability to secure funding and advise theses are essential. Fluency in English is required, while knowledge of French is not mandatory. Experience in university teaching is desirable. Additional skills in probabilistic models, statistical image/video processing and continuous learning will be appreciated. If you are passionate about deep learning and multimodal data, and would like to join a team of internationally renowned researchers, come and join us! Why join us? You’ll be working in a fast-growing, pleasant, green and accessible environment (particularly for people with disabilities) just 20 km from Paris (RER B and C, close to major roads, shared shuttle service from Porte d’Orléans). You will benefit from : • 49 days’ annual leave (CA + RTT) • Flexible working hours (depending on the department’s activity) • Teleworking 1 to 3 days/week possible • 75% reimbursement of public transport season ticket • Proximity to numerous sports facilities, concierge service, underground car park, in-house catering, etc. • Staff association at school and department level • Good to know: our social security contributions are lower than in the private sector To apply, please send the following documents: • a detailed curriculum vitae (max 2 pages), • a letter of motivation, • a report on activities (table of activities) in research (supervision, problems, etc.), teaching (title, volume, etc.) and collective tasks (max 4 pages) • a description of teaching (summary of activities, a brief project for integration into university teaching and continuing education) (max 4 pages) • a research description (summary and results of activities, a brief plan for integration into research) (max 4 pages) • a copy of the 3 best publications, list of publications • the names and addresses of two qualified personalities who can give an informed opinion on the application. Additional information : Application deadline: October 12th, 2024 Type of contract: Permanent contract Contact: Enzo Tartaglione - Full job description here. Telecom Paris is an equal-opportunity employer. All our positions are open to individuals with disabilities
Company:Institut Mines-Télécom
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
