02 Jun 2017 Job Opportunity: Cogent Labs
We are Cogent Labs (cogent.co.jp), a Tokyo based artificial intelligence startup company. Cogent Labs bridges the gap between newly published academic research and real-world business solutions by leveraging expertise across many domains, including time series forecasting, information extraction, natural language and speech processing, image classification, and reinforcement learning.
Our mission is to create accessible and intuitive AI solutions which solve real problems. Exploring and implementing new academic research is only one piece of the equation - it is critical to understand the actual needs and potential for AI in the consumer and enterprise market, and to develop scalable application infrastructure to transform that research into tools for everyday use.
Having recently raised our Series A (https://s3-ap-northeast-1.amazonaws.com/cogentlab/CogentLabs_PressReleaseNews_20170228.pdf) we are aiming to double our team from currently 25 to about 50 people within the next year and are looking for skilled researchers to join our team. The official job description and link to apply can be found here: https://cogentlabs.breezy.hr/p/c1d2371b679a
Currently our research team consists of a wide mix of people from physics, statistics, neuroscience and deep learning, and we are also planning to keep hiring people from a broad range of backgrounds. So while experience with AI and deep learning is definitely a plus, it’s absolutely not necessary.
The working environment is very casual and extremely international (more than 10 different nationalities), and our office is in a great location in Daikanyama (just one stop from Shibuya).
Posted by Dr Max Frenzel, Research Scientist, Cogent Labs
1. Wada et al., "a Cosmological PAH Survey with SPICA", 2017, PKAS, 32, 317
2. Sedgewick et al. "Akari All-Sky Bright Source Catalogue", 2017, PKAS, 32, 305
3. Sedgewick et al., "Akari Deep Field South: Spectroscopic Observations of Infrared Sources", 2017, PKAS, 32,281
4. Buat et al., "Nep-Akari Evolution with Redshift of Dust Attenuation in 8 ㎛ Selected Galaxies", 2017, PKAS, 32, 257
5. Marchetti et al., "Akari-Nep : Effects of AGN Presence on SFR Estimates of Galaxies", 2017, PKAS, 32, 239
6. Miyaji et al."Chandra Observations of the Akari NEP Deep Field", 2017, PKAS, 32, 235
7. Pearson et al., "Herschel Observations in the Akari NEP Field: Initial Source Counts", 2017, PKAS, 32, 219
8. Matsuhara et al., "Overview of North Ecliptic Pole Deep Multi-Wavelength Survey Nep-Deep", 2017, PKAS, 32, 213
9. Karouzos et al., "Galaxies on Diet: Feedback Signatures in Radio-Agn Host Galaxies", 2017, PKAS, 32, 201
10. Davidge et al., "Initial Analysis of Extragalactic Fields Using a New Akari/irc Analysis Pipeline", 2017, PKAS, 32, 37
Sci. Rep. 7, 44983; doi: 10.1038/srep44983 (2017).
Posted by co author Dr Jonathan Tyler, University of Oxford
1. Ishibashi R, Pobric G, Saito S & Lambon Ralph MA (2016) The neural network for tool-related cognition: An activation likelihood estimation meta-analysis of 70 neuroimaging contrasts. Cognitive Neuropsychology Vol. 33 , Iss. 3-4
2. Ishibashi R, Saito S, Lambon Ralph MA & Pobric G (forthcoming) Enhancing semantic cognition of tools with neurostimulation. To appear in Frontiers of Integrative Neuroscience: Modulating Cortical Dynamics in Language, Speech and Music.
1. Ishibashi, Ueno, Saito, Mima, Lambon Ralph & Pobric G,
Title: Enhancing semantic cognition of Japanese two-Kanji words using transcranial direct current stimulation, 15th Annual Convention of Japanese Society for Cognitive Psychology. 3-4 June 2017, Keio University, Tokyo
Joint policy-oriented book chapter produced from research done with host during a JSPS Summer Programme Award, 2016. The book in which this chapter featrures;Migrants in Disaster Risk Reduction: Practices for Inclusion will be presented at the 2017 Global Platform for Disaster Risk Reduction, Cancun, Mexico on 22-26 May.
Posted by Co-author Mr Szymon Parzniewski, University of Birmingham