研究中心背景： The Shanghai Jiao Tong University (SJTU) and the University of California, Los Angeles (UCLA) are linked by common academic interests and seek to develop collaborations and exchanges in fields of shared interest and expertise. SJTU-UCLA Center for Machine Perception and Inference is involved with creating innovative methodology and solutions using deep and machine learning tailored to the needs of medicine and arts. Center Co-directors: SJTU Prof. Wenjun Zhang (inaugural recipient of Changjiang Scholar, National Science Fund for Distinguished Young Scholar, 973 Chief Scientist，IEEE Fellow), UCLA Prof. Demetri Terzopoulos (FRS, FRSC, IEEE/ACM Fellow, Oscar Technical Achievement Award laureate) Center Academic Committee: Medical Advisor Prof. Ning Guang (CAE), Scientific Advisors Prof. Judea Pearl (Turning Award laureate) etc.
報(bào)名地址：
https://join.sjtu.edu.cn/Admin/QsPreview.aspx?qsid=94817242bcf94c3599eec9cd71abd444
| 招聘崗位：科研助理 |
| 招聘人數(shù)：1 名 |
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研究生教育學(xué)歷,碩士及以上學(xué)位 · 計(jì)算機(jī)、電子電機(jī)工程、數(shù)學(xué)統(tǒng)計(jì)等相關(guān)專業(yè)， 碩士或博士學(xué)歷| Master degree or above in CS/EE, statistics or related field · 在計(jì)算機(jī)視覺, 機(jī)器學(xué)習(xí)或醫(yī)療影像領(lǐng)域的頂會或期刊上發(fā)表過論文 | Publications in top journals or conferences in the fields of computer vision, machine learning or medical imaging. · 精通機(jī)器學(xué)習(xí)和深度學(xué)習(xí)庫，如Tensorflow 或Pytorch。對計(jì)算機(jī)視覺以及機(jī)器學(xué)習(xí)常見算法， 模型和解法有深刻理解。| Proficient with one of the popular deep learning software frameworks, such as Tensorflow or Pytorch. A deep understanding of common families of computer vision and machine learning models, algorithms, and solutions. · 了解計(jì)算機(jī)視覺和機(jī)器學(xué)習(xí)的一些新興技術(shù)（如圖像生成模型，多模態(tài)融合，小樣本學(xué)習(xí)， 細(xì)粒度圖像分類，貝葉斯深度學(xué)習(xí)等）。Understanding of emerging technologies in computer vision and machine learning such as Generative Models, Multimodal Fusion, Few-shot Learning, Fine-Grained Classification, Bayesian Deep Learning etc. · 工作有規(guī)劃條理，注意細(xì)節(jié)；有團(tuán)隊(duì)合作意識和溝通能力 | Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and be challenged; work well in teams and communicate ideas clearly · 有3年以上使用深度卷積網(wǎng)絡(luò)解決分類、目標(biāo)識別和分割問題經(jīng)驗(yàn)優(yōu)先 | Prefer 3+ year(s) in using deep learning for classification, detection, segmentation, etc. · 有醫(yī)學(xué)影像經(jīng)驗(yàn)或視頻處理優(yōu)先 | Familiarity with videos or medical images is a plus |
| 崗位職責(zé) |
| 1. Develop deep learning models and provide a layout of the R&D direction for both research engineers and students 2. Publish results in the top conferences and journals in the fields of medical imaging or computer vision 3. Follow and present recent publications in the designated field and topics 4. Draft research proposal, patent and supporting documents for clinical trials 5. Manage the daily research operations of the Center |
| 崗位待遇 |
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| 請?jiān)谡衅竼⑹逻^期前直接在網(wǎng)上應(yīng)聘（請確認(rèn)已點(diǎn)擊廣告右上角“應(yīng)聘此崗位”按鈕； 請確認(rèn)個(gè)人聯(lián)系方式填寫正確并有效；）。請同時(shí)發(fā)郵件到caoyuedi@sjtu.edu.cn，郵件標(biāo)題為：中心項(xiàng)目代理應(yīng)聘+姓名 ；郵件附件包括： 1. 個(gè)人CV：包括你的學(xué)歷、專業(yè)、工作經(jīng)歷等內(nèi)容； 2. 求職申請：簡要說明你為何想要申請這一職位； 3. 相關(guān)證書：請附上電子文本。 |
| 聯(lián)系方式 |
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聯(lián)系人：曹老師 TEL：； E-mail：caoyuedi@sjtu.edu.cn 聯(lián)系地址：上海市閔行區(qū)東川路800號 |
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