**Company: Siemens Digital Industries Software Job Description Summary: Siemens Digital Industries is looking for a PhD candidate to join a research training program in Belgium. The candidate will work on developing hybrid machine learning accelerated solvers for predicting physical phenomena. The candidate must have a Master’s degree in related fields, experience in numerical methods and programming languages, excellent analytical skills, and fluency in English. The candidate will receive an attractive salary and benefits. Working at Siemens Software offers flexibility and rewards. Siemens values diversity and is an equal opportunity employer. #LI-LC1. Job Description: We’re Hiring, World! Let’s make the difference together! Video: MEET US in 2 Minute s ! Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely, collaborating with partners and customers, we care about the digital transformation in the process and discrete industries. With our Digital Enterprise portfolio, we provide and encourage companies of all sizes with an end-to-end set of products, solutions, and services to integrate and digitalize the entire value chain. Meaningful optimization for the specific needs of each industry, our outstanding portfolio supports customers to achieve greater efficiency and flexibility. We are constantly adding innovations to its portfolio to integrate groundbreaking future technologies. We have our global headquarters in Nuremberg, Germany, and have around 75,000 employees internationally. We offer a role with responsibility, independence, and the possibility to contribute proactive. We foster a teamwork… culture with room for individual development. About the role / Segment Strategy & Innovation group of Siemens Industry Software NV in Leuven, Belgium is looking for a PhD candidate to join a three-year research training within the EU-funded MCSA doctoral network IN-DEEP. You will be hosted at Siemens in Leuven and be enrolled in the PhD program at KU Leuven. As a doctoral candidate within the IN-DEEP project you will be at the forefront of developing new hybrid machine learning (ML) accelerated solvers. A fast-expanding area of research is the application of ML techniques to predict physical phenomena (fluid flow, solid deformation, etc.). In this domain, one of the most promising approaches is to not try to replace completely traditional numerical methods with ML algorithm but instead use those to enhance part of the solver when it is relevant. In that vein, your work will be focused on designing novel hybrid algorithms combining classical numerical methods with deep learning approaches aimed at accelerating the solver and/or increasing accuracy, as well as coming up with training strategies for those algorithms. International mobility As a PhD candidate, you will be employed for 36 months by Siemens in Leuven, Belgium. During this period, you will also undertake placements at AGH, Poland and at BCAM, Spain. Requirements Specific Eligibility Criteria on the Horizon Europe Marie Skłodowska-Curie (MSCA) program apply, including the mobility rule and PhD rules. In particular you must not have resided or carried out your main activity (work, studies, etc…) in Belgium for more than 12 months in the 3 years immediately prior to your recruitment under the IN-DEEP project and be — at the date of recruitment — a doctoral candidate (i.e. not already in possession of a doctoral degree). Applicants of any nationality are welcome. Your qualifications Required Qualifications: • A Master’s degree in Applied Mathematics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related field. • Strong background in numerical methods, modelling, and simulation. • Experience with programming languages such as Python, C++or MATLAB • Excellent analytical and problem-solving skills. • Ability to work independently as well as in a team. • Good communication and interpersonal skills. • Strong motivation to conduct research and publish results in high-quality scientific journals. • Fluency in English (both written and spoken). Preferred Qualifications: • Experience with Machine Learning • Familiarity with Deep learning framework such as Pytorch/Tensorflow/Jax/… • Publications in relevant scientific journals or conferences. Offer The DC will be hosted in the Research Department of SISW in Leuven, Belgium, and registered as a doctoral candidate in KU Leuven. The successful candidate will benefit from an innovation-driven industrial environment. Personalized career development plans will be established to support the needs of the PhD candidate. The DC will receive an attractive salary in accordance with the MSCA regulations. The financial package will include: 1) Living allowance yearly gross budget: 40.800€/year (country correction coefficient applies) (Includes salary, employers’ cost and different benefits), 2) Mobility allowance of €600, 3) Family allowance (€660), if applicable. The exact (net) salary will be confirmed upon appointment and is dependent on local tax, social and health insurance regulations, and the country correction factor. Start time: before and up to September 2024. Working at Siemens Software Why us? Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer phenomenal benefits and rewards, as you’d expect from a world leader in industrial software. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. If you want to make a difference – make it with us! #LI-LC1 Job Family: Research & Development Req ID: 408054
Company:Siemens Digital Industries Software
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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.
