Visage is an intelligent talent platform that helps companies recruit more efficiently. Visage sourcing technology blends 4,000 Sourcers and AI to find talent within hours. We are revolutionizing the way recruitment is done at companies like L'Oreal, Siemens, Orange, etc.
Our Venture-backed startup is headquartered in San Francisco.
You will join a team that focuses on building an amazing product *coming straight out of Silicon Valley*! We are a 20 people tech team with many skills : data, devops, dev, q&a
Smart Email Assistant - Project Motivation
When clients review profiles sourced by our community, they can either disqualify them, contact them, or save it for later. Our platform allows users to contact and follow-up their prospects easily with an *email template auto-filled* with job title and its location, candidate name, and current position.
However, we prompt users to *personalise these cold emails* to increase open and response rates. They should make sure they are interesting, appealing, and written in a tone that *reflects their company’s culture and values*. The more interesting, the higher the chances for a recipient to become a potential candidate. Last but not least, the subject line is essential. It doesn’t matter how good an email is if it’s never opened.
Other strategies can be impactful to *grab passive candidate’s attention* such as considering the recipient’s time zone.
Your Role *Post-internship PhD*
Our ultimate goal is to *develop a personalized cold email generator*. The content of the email has to meet general guidelines in terms of length, clarity, and information provided. But besides what we say, the way we say it is what *makes the difference*. The tone of the voice must reflect the user brand culture in order to *attract the right audience*. For example, a traditional company will go for an opening such as “Dear Mr. Smith”, while a disruptive start-up looking for young graduates would prefer “Hey John”.
This new feature would be a clear *competitive advantage* for Visage. It will help our users to both save time and increase the engagement rate. This is a *long-term and ambitious project* that will be subject to a *PhD*.
*Internship Mission* This internship will set the basis for the thesis in terms of data, exploratory analysis, modeling, and research framework. You will leverage *5 years of data* including *thousands of email exchanges*. Under the supervision of our senior data scientist, your mission will consist of several stages :
- Data Gathering : - Engagement rates (target): % open, reply and lead rates. - Email-related data: title, body, signature, length, sender email type, user, and recipient time zones...
- Use Data Science techniques to tag : - *Level of Personalization*: Determine which emails were personalized by the user in historical data. Emails can be compared to templates provided by Visage. Text similarities will be evaluated using either naive methods, embeddings associated with classical Machine Learning models or Deep Learning.
- *Spammy email content*: Investigate the relationship between bounced emails and their content. Were some messages rejected due to some content?
- Both subjects may lead to *model prototypes and APIs creation*.
- Exploratory analysis and data visualization : - Investigate the *relationship between emails’ attributes and engagement rates*.
- Design and *develop visualizations* to provide users metrics to track the impact of their personalization effort. - Start some literature search :
- Start exploring what methodologies and models other researchers have already developed in the field of *text generation*.
- Investigate the capability of the natural language models such as *GPT-3* or other promising models to generate short emails in different writing styles.
Your Profile and Skills You *think before you code*, you like to have passionate discussions about the *best ways to solve a problem*. You understand that technology is not an objective but a way to get the most efficient solution to a problem.
You are a student in your *last year of engineering school* and you are *seeking a PhD* after graduation. You have knowledge and experience in:
- *Machine Learning*
- *Neural Networks*
- *Natural Language Processing*
- *Database* Systems
- *Python* Programming and main libraries (Pandas, Numpy, Scikit-learn, Keras…)
Values We hire and keep people who are constantly overachieving. However, we don’t hire jerks, as brilliant as they can be. You will be part of a pro sports team that knows that excellence comes from being open-minded and always challenging ourselves. Our values are :
- *Visionary*. We anticipate where the world is going and we build accordingly.
- *Meaning*. We don’t sacrifice our long term vision and beliefs for short term returns. We work the hardest when nobody is watching.
- *Honesty*. We practice radical transparency: direct and honest in communication and sharing of company strategies.
- *Balance*. Whilst we work intensely, we value life balance. We take time to rest and refresh.
- *Impact*. We cover a lot of ground on truly important work. We focus on great results.
Contact Us [email protected]
raKam is recruiting a Young Doctor in AI in search of his first permanent contract: a greatopportunity for a profile from research to take charge of all the R&D of a consulting firm, and this in an ideal setting. A company on a human scale with a collaborative spirit and an excellent atmosphere!
CONTEXT Our client is a consulting firm in management, organization and IS transformation.
Their missions are structured around topics of AI, Data Science and blockchain, with the aim of creating value for their customers. Founded in 2004, the firm operates in various sectors, including health, insurance, banking, transport, industry and services...
We are looking for a Young Doctor to take charge and structure all the R&D of this ambitious consulting firm. The challenge is to continue, prioritize and accelerate all their R&D projects, which they are now carrying out in parallel with their consulting missions to clients.
POST In direct collaboration with the CEO and the entire team of Consultants and Directors of Practices, your missions will be as follows:
- Deepen, structure and define existing and to be undertaken R&D projects. You will be on permanent scientific watch to propose new approaches and methods and share them with the team. You will be responsible for the framing, the proposals, the respect of the control of the deadlines and the resources on the studies that you will have to conduct.
- Carry out studies and projects:
. of Data Science applied to very diverse concrete subjects, with structured and unstructured data, especially in image processing.
. of AI, implementing techniques of classification, behavioral segmentation, Machine Learning and Deep Learning.
. You will also have to use blockchain techniques, especially to secure data.
- Work in direct contact with consultants and practice managers, in order to be aware of customer issues and to be able to rely on their work in the context of R&D missions. This real porosity will also allow a gradual increase in skills, and a diversification of your missions, to become, in the long term, able to intervene also in advice to customers.
Position based in Boulogne (92100).
PROFILE - You hold a PhD in Computer Science or Applied Maths, with a specialization in Data Science or AI, combined with a strong blockchain component. - You are a "Young Doctor": you have just finished your doctorate, or post-doc, and are looking for your first permanent contract in a company.
- You have a solid theoretical background in mathematics and algorithmics, coupled with expertise in Data Science, AI and blockchain, developed during your thesis.
- Empathy and collaborative spirit characterize you. You know how to communicate to best share the methods and challenges of R&D. - Proactive, autonomous and pedagogue, you have the necessary perspective to manage the organization of R&D and show you strength of proposal.
- Pragmatic, with a "business appetite", you are sensitive to the impact of R&D and its concrete results produced on the business.
- Fluent English.
To apply: send your CV to [email protected]
Dear all, Interested in Deep Learning and Graph ? Apply to our Master internship position in Structural attention mechanism for Graph Transformers.
As part of the French National Project called ANR CodeGNN, you will have the opportunity to continue with a funded PhD in our team !
More information below or at : https://lifat.univ-tours.fr/medias/fichier/lifat-internship-anr-codegnnen_1637256648035-pdf
Keywords Transformers; Graphs, Machine learning
Context Most of the objects of interest of our today's life are based on discrete objects with sequential (strings) or more complex (graph) relationships. We can evoke the relationships between people in social graphs, the bounds between atoms in a molecule or the topographic distance between speed sensors in traffic analysis, to name a few.
The prediction of the properties of such objects falls in the scope of structural pattern recognition.
Apply for an HPC job at Jülich Supercomputing Centre within the OpenGPT-X project to optimize the project’s NLP workloads on GPUs close to the metal
Join our team as soon as possible as a Research Scientist in High Performance Computing (HPC)
Your Job:
Within the Accelerating Devices Lab and within the OpenGPT-X project, you will use High Performance Computing techniques on GPUs to improve large-scale Machine Learning applications, in particular Natural Language Processing (NLP) models.
In more detail you will be: using HPC tools and techniques to optimize scalable training algorithms;
analyzing, consulting on, and improving training runs using up to the full JUWELS Booster, exploiting the features of the underlying GPU and networking hardware;
liaising with project partners for hardware-specific consulting;
identifying key code requirements to assess and procure new hardware for NLP and other ML-related workloads;
presenting your research at scientific meetings, conferences, and as scientific papers.
Your Profile: You are an excellent team player and a curious researcher, knowledgeable within the field of HPC, especially of GPU-accelerated HPC systems. You know how to dig into complex applications and have some experience with ML/DL workloads, ideally by tuning them for performance.
More specifically, your profile is: Master or PhD (preferred) degree in Computer Science, Mathematics, Physics, or similar fields;
Very good command of written/spoken English and ideally a good command of German;
Comprehensive experience using HPC systems as well as parallel/distributed programming with GPUs;
Practical experience in optimizing AI and ML workloads for performance, preferably with special emphasis on NLP models;
A track record of your work in code repositories (Open Source), scientific workshops, conferences, and other publications;
Self-motivated personality, used to work in a multidisciplinary team and environment solving scientifically challenging problems on large computers.
You don’t need to check all the boxes above to apply to this position. In the end, your scientific curiosity, self-motivation, and team-spirit are most important to us.
Our Offer: We work on the very latest issues that impact our society at grand scale and are offering you the chance to actively help in shaping the change! We support you in your work with:
An exciting and varied role at the frontiers of science in an international and interdisciplinary working environment;
Access to cutting-edge and unique supercomputing systems including large-scale GPU installations and Quantum Computers;
A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work, as well as options to flexibly work part-time from home;
Comprehensive training courses and individual opportunities for personal and professional further development;
Extensive company health management;
Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy;
Full-time position with the option of slightly reduced working hours and 30 days of annual leave;
Targeted services for international employees, e.g. through our International Advisory Service;
The position is initially for a fixed term of 3 years, with possible long-term prospects. Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD).
Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. With us, your personality counts just as much as your skills, regardless of age, origin, gender, sexual identity, disability, or ideology.
We look forward to receiving your application until 21.12.2021
Full call for applications with link to the Online-Recruitment-System [https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-486-EN-JSC.html?nn=363488]
The Applied Media Systems group of Ilmenau University of Technology in Ilmenau, Germany, is looking for candidates for a half-time Ph.D position (20 hours/week), in the area of machine learning for audio.
The duties include teaching seminars and supervising students in Media Technology and Electrical Engineering.
Duration: starting with 3 years, can be extended up to 6 years.
Starting date: February 1st, 2022.
Our group works on audio coding, filter banks, autoencoders, stochastic optimization, audio and musical source separation.
The ideal candidate will have solid knowledge in digital signal processing and machine learning for audio and video.
Requirement: Master's in electrical engineering or similar, with focus on digital signal processing and/or machine learning for audio and/or video.
Essential is curiosity for learning, ideas, and ingenuity.
If you are interested, send me an email, with a few of your main achievements: [email protected]
The official applications link is: https://jobundkarriere.tu-ilmenau.de/jobposting/f8e166014bb5382777de6fee7cb10d877f98a70b0
Our groups website is: https://www.tu-ilmenau.de/mt-ams
1. Job description The Electronics department of CeREF Technique is looking for an electronics engineer within the framework of of the Win2Wal SMARTSENS research project in partnership with VOCSens and UNamur. The candidate selected will join the team of 8 research engineers already in place.
The objective of the SMARTSENS project is to design an innovative IoT measurement network, using micro- gas sensors and incorporating Machine Learning techniques to improve the accuracy of quality measurements air, associated with industrial emissions monitoring, process control and safety.
The engineer hired will be responsible for designing electronic devices, embedded software and network infrastructure. 2. Profile sought
Required Skills The areas of expertise targeted are those of electronics and IT.
More specificly :
• Electronic design (schematic, routing, assembly)
• Embedded programming (C / C ++, RTOS)
• Knowledge of low power IoT networks (LoRAWAN, Sigfox) The following skills are a plus:
• Knowledge of machine learning techniques
• Mastery of Linux systems
• Python programming
• Mastery of electronic laboratory instruments
Beyond the technical skills required, the person hired will have the following qualities:
• In terms of project management: sense of responsibility and initiative
• On the human level: scientific and critical spirit, creativity, rigor, ability to work in collaboration with teams, flexibility, openness and availability
• In terms of language skills: good knowledge of English
• Good technical oriented writing skills
Required training Master or Doctorate in Industrial or Civil Engineering Sciences (electronic focus) or equivalent training.
Professional experience
Job suitable for a young graduate.
3. Working conditions Employment contract: Fixed-term contract from 12 to 36 months with immediate entry into office.
Location: Mons (Haute Ecole Louvain en Hainaut, Electrical Engineering) and on the partners' site.
4. Submission of candidatures
Applications should be sent to Jean-Baptiste Coulaud, research manager, as follows, by sending their curriculum vitae by email along with a cover letter.
By email to [email protected]
Dear colleagues, Could you please diffuse the following announcement via your respective email diffusion lists ?
A full professor position is open at the Laboratory for Computational and Quantitative Biology (LCQB), Institut de Biologie Paris Seine (IBPS), Sorbonne University (SU) with a starting date from September 2022.
For more information please see : http://www.lcqb.upmc.fr/content/full-professor-position-artificial-intelligence-and-data-science-biology .
Martin Weigt UMR 7238 - Computational and Quantitative Biology
Sorbonne Université (former Université Pierre et Marie Curie) 4 place Jussieu 75005 Paris, FRANCE
Tel: +33 (0)1.44.27.73.68 Fax: +33 (0)1.44.27.73.36 Email: [email protected]
Hello We are looking for a PhD in data sciences with a strong appetite for nuclear issues for a one-year post-doctoral contract (renewable once) at the CEA of CADARACHE.
The primary purpose of the subject is the development of numerical methods for the characterization of nuclear installations in the dismantling phase, but applications in the medical field are also possible.
CEA - POST-DOC for the Monte Carlo Virtual Reality Platform for dose rate estimation M/F
Kind regards Cindy LE LOIREC
CEA/DES/IRESNE/DER/SPRC/Labora toire of Nuclear Projects Commissariat à l'énergie atomique et aux énergies alternatives Centre de Cadarache | Packsaddle.
1222 | F-13108 Saint-Paul-Lez-Durance Mail : [email protected] | Phone: (+33) 4 42 25 40 62
Dear all, Two master internship positions in Natural Language Processing are opened in the Data Intelligence team at Laboratoire Hubert Curien in Saint-Etienne:
1- Fine-tuning and fairness : https://cgravier.fr/offers/masters/2022/fine-tuning-and-fairness-dike.pdf (Follow-up in PhD thesis is possible, as a PhD funding is already secured thanks to a National Research Agency project, in collaboration with avec ERIC lab in University Lyon 2 and NaverLabs Europe).
2- Personalized data-to-text generation : https://cgravier.fr/offers/masters/2022/personalized-data-to-text.pdf , en collaboration avec Laure Soulier (LIP6, Paris)
The internship description and the application process are provided in the internships whose links are given above.
Christophe GRAVIER Professeur
Directeur du développement et de l'innovation Télécom Saint-Etienne Ecole interne de l'Université Jean Monnet et affiliée à l'Institut Mines Télécom Laboratoire Hubert Curien UMR CNRS 5516
Campus Manufacture 25 rue du Docteur Rémy Annino 42000 Saint-Etienne, France
04 77 91 58 50 https://cgravier.fr http://www.universite-lyon.fr
This project aims at developing compact all-optical Arithmetic and Logic Units (ALU) exploiting the spatial and spectral distributions of 2D confined plasmons modes in planar cavities tailored in ultrathin Au or Ag crystals. Yet, the optimization of the logic gate output contrast, the definition of the logic function reconfiguration schemes and the generalization of this concept towards complex ALU is a non-intuitive challenge.
DALHAI addresses the ALU design challenge with a four-stage strategy that relies, first, on the mode symmetry considerations that led to the successful numerical and experimental results obtained on the DH devices. Second, evolutionary optimization will be implemented to efficiently survey the parameter space. Yet the discovery of complex ALU configurations will be limited by the intuitive starting points. Third, to overcome this limitation, DALHAI will develop powerful Hybrid Artificial Intelligence (HAI) tools and interface them with optical simulations and experimental data. Fourth, once trained, the HAI will propose device geometries and excitation protocols to solve the inverse design of complex reconfigurable ALUs.
Nanofabrication, simulations, optical benchmarking, operation and reconfiguration of HAI-proposed ALUs will be performed. The experimental fabrication and optical testing and the numerical simulations of plasmonic ALUs will be performed by CEMES (CNRS, Toulouse) and ICB (CNRS, Dijon). CIAD (Univ. Bourgogne, Dijon) develops the HAI in strong interaction with all partners.
* Topic: Generative Antagonist Network (GAN – Deep Learning), Knowledge and reasoning Engineering (OWL-DL), Explainable Artificial Intelligence *
DALHAI will adapt Hybrid Artificial Intelligence (combination of induction and deduction reasoning processes) to assist the design of the complex ALU to step up in complexity, numbers of input/output and reconfigurability beyond intuitive design. DALHAI ambitions to enhance the innovation capacity by merging interdisciplinary fields and to establish national and European leadership in HAI-reinforced nano-photonics.
In this regard, DALHAI aims at a software maturity at TRL7. In this project, we have already built the first proposition of antagonistic reasoning allowing the prediction of the photon. These results are very encouraging and they were obtained quickly enough to validate the approach described in the initial file. These results open a new and very innovative artificial reasoning path that we wish to explore with this postdoc position. The mission is spread over several phases.
1/ The first phase revolves around the AI approach put in place. This phase consists of analyzing the limits of simulation tools in the field of plasmonics and nanophotonics and familiarizing oneself with the IA approach implemented.
2/ The second phase aims to automate the generation of a synthetic data corpus by implementing the hybridization of artificial intelligence algorithms.
3/ The third phase of this post-doctoral position consists in setting up symbolic and connectionist artificial intelligence approaches to solve problems applied to the field of nano-plasmonics such as the prediction of optical signals, the optimization of the efficiency of logic gates
Starting period: February 2022 – duration of 12 months (can be extended to 18 months according to applicant profile).
Localization : Laboratoire CIAD – Université de Bourgogne, 64 rue de Sully, 21000 Dijon Salary average 2500€ a gross monthly depending on qualifications and situation.
Applicants are required to have a PhD in Computer Science, a strong background in Machine Learning/Deep Learning (GAN) and eventually semantic web technologies. Fluency in written / spoken English is required too. A good publication record and strong programming skills will be a plus. Applications will be accepted until the position is closed. Applicants should send a full CV including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them.
Contact: Christophe Nicolle ([email protected])
Très cordialement Pr. Christophe Nicolle
The SteelSeries France RandD team (former Nahimic R and D team) is glad to open 4 research internship positions for 2022.
The selected candidates will be working on one of the following topics (more details in attached):
- Audio media classification
- Audio source classification
- Audio source separation
- Real-time speech restoration
Please reply/apply to [email protected].
More positions here : https://www.welcometothejungle.com/fr/companies/nahimic
https://jobs.jobvite.com/steelseriescareers/jobs
Short company description: Nahimic has joined the SteelSeries family to bolster reputation of industry-leading gaming audio performance across both hardware and software.
SteelSeries is a leader in gaming peripherals focused on quality, innovation and functionality, and the fastest growing major gaming headset brand globally.
Nahimic is the leading 3D gaming audio software editor with more than 150 man-years of research and development in gaming industry, and the worldwide leader in PC audio gaming software.
You will join the RandD team of SteelSeries’ Software & Services Business Unit in our French office (former Nahimic RandD team).