Join ARMACAD Today

Join over 100,000 researchers, students and professionals.

Subscribe and get new opportunities every day.

Sign Up


Academic Positions at the Advanced Solutions Center (ASCENT) 2018, FAST, Yerevan, Armenia

Foundation for Armenian Science and Technology (FAST)


Deadline:

December 15, 2018


Opportunity Cover Image - Academic Positions at the Advanced Solutions Center (ASCENT) 2018, FAST, Yerevan, Armenia

Advanced Solutions Center (ASCENT) is a multifunctional platform for the origination and development of science-intensive ventures. The first batch of the program will focus on data science, artificial intelligence, machine learning.

The goal of the center will be the creation of advanced solutions and eventually spin-off companies. ASCENT will hire young scientists and researchers to explore original scientific hypotheses in the above mentioned fields. The research team(s) will conceive and refine unconventional approaches to research problems, discover market niches where technological breakthrough can take place, and develop revolutionary solutions. A prototype/solution will be developed during the research which will result in the creation of a new company. The researchers working on a particular prototype/solution will receive equity in the spin-off companies in addition to the competitive salaries offered by ASCENT.

A venture capital fund associated with ASCENT will invest in spin-off companies to ensure their growth.

We are hiring for the positions of 

ORIGINATION PARTNER

Yerevan, Armenia
START DATE: ASAP
APPLICATION DEADLINE: December 15, 2018

We are seeking an origination partner with a strong background in data science/artificial intelligence/machine learning to lead an exploration team that will be working on generating commercializable scientific breakthrough ideas. The partner will play a critical role in the hypothesis generation process and shape the team’s vision and strategy. S/he will bring a strong applied science and entrepreneurial orientation, demonstrate strong communication skills, and be comfortable working in and contributing to a very dynamic and cross-functional team environment.

Responsibilities:

  • Lead the venture hypothesis exploration process by supervising and collaborating closely with research associates on the data science team;

  • Assess the ideas generated by the team on their novelty, feasibility, and suitability for the market, make strategic decisions on which venture hypotheses to pursue exploration on,

  • Work to flesh out and articulate vision, value proposition and plan for new breakthrough, AI/data science venture;

  • Work with Principal and Associates to formulate and vet new Venture Hypotheses based on breakthrough scientific and technological insights:

    • Explore intellectual property landscape and define opportunity for developing and capturing novel and broad intellectual property;

    • Define key scientific experiments, plan and budget to instantiate and derisk the opportunity space (ProtoCo phase);

    • Reach out to Key Opinion Leaders (KOLs), engage in scientific discussions to pressure test hypotheses, and network and establish deep relationships;

    • Formulate hypotheses and corresponding thought experiments, mine/review scientific literature for supporting data, and synthesize in the form of presentation (Exploration phase);

  • Help identify, vet and recruit prospective employees for company (Research Associate to VP level);

  • Generate and support intellectual property for core projects, develop intellectual property strategy for company;

  • Monitor and evaluate analytical aspects of new and emerging technologies;

  • Manage research relationships with external academic consultants and collaborators;

  • Participate in data science syllabus creation, and conduct trainings.

Basic Qualifications:

  • Ph.D. in data science, computer science, statistics, mathematics, physics or a related field with 5+ years of experience

  • Proficiency in relevant programming/scripting languages such as Python or R and standard command line tools

  • In depth experience in one or more of the following areas: natural language processing, speech recognition, voice recognition, image processing, expert systems, or a related field

  • Expertise in one or more of the core machine learning areas such as: ANNs, SVMs, reinforcement learning, probabilistic rule-based learning

  • Experience in algorithm generation and/or computational method implementation

  • Demonstrated experience with large-scale data and high throughput data analysis, network analysis and meta analyses.

Preferred Qualifications:

  • Expertise in one or more of such areas as: Bayesian approaches, Markov models, Gaussian processes, game theory, decision theory

  • Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner

  • Team oriented, highly motivated, execution focused with strong work ethic, ability to thrive in an entrepreneurial and multidisciplinary environment

  • Highly adaptable and responsive to technical and business opportunities and needs – comfortable delivering against challenging commitments.

Application procedure:

All interested candidates are kindly requested to submit the following documents to hr@fast.foundation:

  • CV with the indication of research interests
  • A document describing proposed research areas to be explored in scope of ASCENT process (up to 3 pages)

Please indicate the title of the position “Origination Partner” in the subject line of your e-mail. FAST is grateful to all interested applicants. All applicants will be notified of their application results.

PRINCIPAL

Yerevan, Armenia
START DATE: ASAP
APPLICATION DEADLINE: December 15, 2018
 
We are seeking a creative, motivated principal data scientist/AI/ML specialist with diverse experiences and interests in data science/AI/ML, and the ability to adapt skill set to a variety of applications. The role requires good knowledge and understanding of the field. This is an exciting and interdisciplinary role for a highly qualified and motivated individual, who will be responsible for mentoring and supervising research associates. We are looking for an enthusiastic, innovative scientist with a passion for generating and bringing novel ideas to markets. S(he) will be comfortable working in and contributing to a very dynamic and cross-functional team environment. The applicant will be a crucial part of a fast-paced data scientists/AI team.
 
Key responsibilities:
  • Ph.D. in data science, computer science, statistics, mathematics, physics or a related field with 5+ years of experience
  • Proficiency in relevant programming/scripting languages such as Python or R and standard command line toolsÕ·
  • In depth experience in one or more of the following areas: natural language processing, speech recognition, voice recognition, image processing, expert systems, or a related field
  • Expertise in one or more of the core machine learning areas such as: ANNs, SVMs, reinforcement learning, probabilistic rule-based learning
  • Experience in algorithm generation and/or computational method implementation
  • Demonstrated experience with large-scale data and high throughput data analysis, network analysis and meta analyses.

Basic Qualifications:

    • PhD in data science, computer science, statistics, mathematics, physics or an adjacent field
    • Expertise in one or more of the core machine learning areas such as: ANNs, SVMs, reinforcement learning, probabilistic rule-based learning
    • Experience with relevant software tools such as R and Python as well as relevant machine learning frameworks such as scikit-learn and tensorflow
    • Experience in algorithm generation and/or computational method implementation
    • Highly adaptable and responsive to technical and business opportunities and needs – comfortable delivering against challenging commitments.

    Preferred Qualifications:

    • Demonstrated experience with large-scale data and high throughput data analysis, network analysis and meta analyses
    • 3+ years of experience
    • Expertise in one or more of such areas as: Bayesian approaches, Markov models, Gaussian processes, game theory, decision theory
    • Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner
    • Team oriented, highly motivated, execution focused with strong work ethic, ability to thrive in an entrepreneurial and multidisciplinary environment

    Application procedure:

    All interested candidates are kindly requested to submit the following documents to hr@fast.foundation:

    • CV with the indication of research interests
    • A document describing proposed research areas to be explored in scope of ASCENT process (up to 3 pages)

    Please indicate the title of the position “Principal” in the subject line of your e-mail. FAST is grateful to all interested applicants. All applicants will be notified of their application results.

    RESEARCH ASSOCIATE/SR. RESEARCH ASSOCIATE

    Yerevan, Armenia
    START DATE: ASAP
    APPLICATION DEADLINE: 
    December 15, 2018

    Research Associate/Senior Research Associate will work in a team of data scientists/AI/ML specialists on exploring novel breakthrough Venture Hypotheses that will be further developed during ProtoCo and NewCo phases to lay in the basis of a new company. The position requires broad technical skills in machine learning, AI, databases and big data analysis. This individual will contribute scientific, and technical expertise to a multidisciplinary team, emphasizing conceptualization, ideation, data analysis, presentation, and strategic planning.

    Key responsibilities:
    • Build and maintain scientific code base
    • Work on the exploration of novel ideas and generation of venture hypothesis in data science/AI/ML
    • Write and present results to the team
    • Process, analyze, interpret, and visualize high volumes of data
    • Implement, design and invent new approaches and algorithms that will fundamentally change the way we extract knowledge and insight
    • Participate in data science syllabus creation, and conduct trainings.

    Basic Qualifications:

    • Bachelors or Masters degree in data science, computer science, statistics, mathematics, physics or an adjacent field is required
    • A strong self-starter and independent thinker
    • Outstanding teamwork, communication and interpersonal skills
    • Demonstrated experience with large-scale and high throughput data processing and analysis, network analysis, and meta analyses
    • Skilled in programming and scripting languages (Python, R)
    • Scientifically creative thinker with a visionary, optimistic outlook

    Application procedure:

    All interested candidates are kindly requested to submit the following documents to hr@fast.foundation:

    • CV with the indication of research interests
    • A document describing proposed research areas to be explored in scope of ASCENT process (up to 3 pages)

    Please indicate the title of the position “Research Associate/Sr. Research Associate” in the subject line of your e-mail. FAST is grateful to all interested applicants. All applicants will be notified of their application results.

    About FAST:

    Foundation for Armenian Science and Technology (FAST) is conceived as a comprehensive platform to foster technological and scientific breakthroughs in Armenia. FAST aims to revive the country’s strong Science, Technology, Engineering and Mathematics (STEM) traditions, establishing a favorable regime for the innovative environment, fostering science and technology education, and actively developing a venture capital ecosystem. One of the most pivotal tasks of FAST is to engage tech and scientific communities in raising the profile of Armenia as a hub for technological and scientific discoveries and developments

    Note: Employment decisions are made without regard to race, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability or other characteristics protected by law.

    For more information click "LINK TO ORIGINAL"  below.


    Host Country
    Job Type
    Publish Date
    November 07, 2018




    0 Comments


    Subscribe to our newsletter

    and receive information about international academic and professional opportunities

    scholarships, summer schools, conferences, grants, fellowships, trainings


    Sign Up