University of Michigan College of Engineering’s Macromolecular Science and Engineering Symposium

The Macromolecular Science and Engineering Program at the University of Michigan is pleased to announce its 43rd Annual Symposium, Polymer Design Interfaces taking place on October 23rd and 24th, 2019. Registration is now open and student poster submissions are being accepted.

Registration and more information for the symposium can be found at https://macro.engin.umich.edu/symposium/

October 23rd: Professional Development Short Courses

This half-day series of talks is intended for both undergraduate and graduate students. Speakers will present on a variety of topics including research engagement, non-traditional career pathways, mental health, and science & education outreach. An evening networking dinner will be held following the talks to which all symposium registrants are invited. 

October 24th: Polymer Design Interfaces

The symposium features invited talks by faculty and students. The poster session is open to all students as well as post-doctoral researchers, and covers research in all areas of polymer science and engineering. Industry sponsors will have booth space during the poster sessions to connect with students.

There is no registration fee. Two poster submissions will be elevated to invited talks, providing a fantastic opportunity to showcase research to leaders in the field. Please let us know if you have any questions about the event. We look forward to seeing you in October!

Center for Statistics and Machine Learning – Job Posting

JOB DESCRIPTION:  DATA SCIENTIST – SCHMIDT DATA X PROJECT, PRINCETON UNIVERSITY

Do you want to apply your data science and computational skills to exciting new research problems? Do you have a background in research but love to write code and analyze data? If so, then we have an exciting opportunity for you.

Princeton University is building a community of data scientists to work in partnership with its world-renowned faculty and students to help solve data-driven research problems. You will work with faculty in a collaborative, multidisciplinary environment and actively contribute your skills to advance scientific discovery. You will have access to Princeton’s first-class resources, the opportunity to co-author academic publications, to offer short courses and workshops on data science, and to collaborate with, and learn from, the larger computational data science community.

Three research areas are of particular interest. Catalysis: led by the Department of Chemistry; Biomedical Data Science: led by the Department of Computer Science; Technology Policy: led by the Center for Information Technology Policy. Prior experience in one of the above areas is an asset but is not required. You will be mentored in the relevant research area. If you have a strong background in scientific programming, academic research, and are eager to contribute to groundbreaking research, you have the right skill set. These are 3-year appointments offering a very competitive salary and excellent opportunities for growth and career development. The positions are part of the Schmidt DataX project, an initiative made possible by a major gift from Schmidt Futures.

Responsibilities:

  • Integrate with interdisciplinary research teams and creatively develop/apply modern data science, statistics, and machine learning techniques to advance research.
  • Coding/algorithmic prototyping of relevant analysis methods, including setting clear goals, measuring progress, and the creation of appropriate documentation.
  • Collaborate with, educate, convene, and support a broad community of researchers on campus in how to best leverage data science in their teaching and research. This may include contributing to mini-courses and workshops on data science.
  • Communicate results and impact to all stakeholders. This may include presenting research at academic conferences and workshops.

Required Qualifications:

  • PhD required in computer science or related discipline; or equivalent combination of educational training, relevant experience, and accomplishments.
  • Strong coding/algorithm prototyping skills, and ability to explain and document work.
  • Proficiency in one or more of the following: Python, C, C++, SQL.
  • Experience working in data analysis/statistics/machine learning/scientific computing to address basic research questions; or commensurate achievements.

Additional Desired Qualifications:

  • Strong problem-solving skills; a passion for answering hard questions with data.
  • The ability to communicate complex ideas to relevant stakeholders.
  • Experience in a collaborative, multi-disciplinary research environment.
  • Eagerness to collaborate with both technical and non-technical colleagues.
  • Experience in database design and building data-driven web applications.

Princeton provides an exceptional work environment that includes a comprehensive set of programs and benefits for you, your spouse or domestic partner, and your family including: competitive health, dental, vision and life insurance; generous vacation and sick leave packages; retirement planning with a generous company match; competitive parental leave; Backup Care Advantage for child or elder care.

Access application at https://www.princeton.edu/acad-positions/position/13062. Please include a cover letter (preferred) or writing sample, curriculum vitae, and names and contact information of three references. References will only be contacted if you are a finalist.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check policy.



Questions?  Feel free to contact our Project Manager, Ellen DiPippo if you have any questions
                     about the position or process. 

Ready to Apply:  Please use A-Hire, Princeton’s internal job posting system to apply:  https://www.princeton.edu/acad-positions/position/13062

Colorado School of Mines – Open Position

UCLA – Temporary Lecturer Position

The UCLA Department of Chemistry & Biochemistry seeks applications for temporary lecturer positions to teach undergraduate Organic Chemistry courses during the Fall 2019 and Winter 2020 Quarters. 

Interested candidates may apply through the links below:

https://recruit.apo.ucla.edu/JPF04649

Sincerely,

Anastassia Alexandrova, Ph.D.

Vice Chair of Undergraduate Education

Associate Professor

UCLA Department of Chemistry & Biochemistry

NORAC Pharma Job Opportunity

Health Professions Acceptance Party

If you’re bound for a Health Professional school for Fall 2019- Congratulations!

HMP3 and Health Beat are having a party in your honor on Thursday, May 23 from 6:30-8:30 PM in the Career Center Back Yard.

Alumni and current students who have been accepted are all invited! Please feel free to bring a guest and let us treat you to an evening of dinner, lights, live music and some fun surprises. You won’t want to miss this!

Here is the invitation with registration link: 
https://www.eventbrite.com/e/acceptance-party-for-health-sc…

John Hopkins Employment Opportunity

Excellent opportunity for your chemistry undergraduate and graduate students who may be interested in summer employment with the Johns Hopkins Center for Talented Youth (CTY). We are currently seeking Instructors and Teaching Assistants for over a dozen residential sites along the east and west coasts.

Andrew Yamazaki

Assistant Program Manager, Summer Programs

Johns Hopkins Center for Talented Youth

(410) 735-6047

yamazaki@jhu.edu